- Marques, Francine, Quarrell, Sean, Jayaswal, Vivek, Curl, Claire, Nankervis, Scott, Yang, Jean, Delbridge, Lea, Harrap, Stephen, Charchar, Fadi
- Authors: Marques, Francine , Quarrell, Sean , Jayaswal, Vivek , Curl, Claire , Nankervis, Scott , Yang, Jean , Delbridge, Lea , Harrap, Stephen , Charchar, Fadi
- Date: 2012
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 26, no. 10 (October 2012 2012), p. 636-637
- Full Text: false
- Reviewed:
Knowledge based regulation of statistical databases
- Mishra, Vivek, Stranieri, Andrew, Miller, Mirka, Ryan, Joe
- Authors: Mishra, Vivek , Stranieri, Andrew , Miller, Mirka , Ryan, Joe
- Date: 2006
- Type: Text , Journal article
- Relation: WSEAS Transactions on Information Science and Applications Vol. 3, no. 2 (2006), p. 239-244
- Full Text: false
- Reviewed:
- Description: A statistical database system is a system that contains information about individuals, companies or organisations that enables authorized users to retrieve aggregate statistics such as mean and count. The regulation of a statistical database involves limiting the use of the database so that no sequence of queries is sufficient to infer protected information about an individual. The database is said to be compromised when individual confidential information is obtained as a result of a statistical query. Devices to protect against compromise include adding noise to the data or restricting a query. While effective, these techniques are sometimes too strong in that legitimate compromises for reasons of public safety are always blocked. Further, a statistical database can be often be compromised with some knowledge about the database attributes (working knowledge), the real world (supplementary knowledge) or the legal system (legal knowledge). In this paper we illustrate that a knowledge based system that represents working, supplementary and legal knowledge can contribute to the regulation of a statistical database.
- Description: C1
- Description: 2003001608
GraphLearning’22: 1st International Workshop on Graph Learning
- Xia, Feng, Lambiotte, Renaud, Aggarwal, Charu
- Authors: Xia, Feng , Lambiotte, Renaud , Aggarwal, Charu
- Date: 2022
- Type: Text , Conference proceedings
- Relation: WWW '22: Companion Proceedings of the Web Conference 2022, Virtual Event, Lyon France April 25 - 29, 2022 p. 1004-1005
- Full Text:
- Reviewed:
- Description: The First Workshop on Graph Learning aims to bring together researchers and practitioners from academia and industry to discuss recent advances and core challenges of graph learning. This workshop will be established as a platform for multiple disciplines such as computer science, applied mathematics, physics, social sciences, data science, complex networks, and systems engineering. Core challenges in regard to theory, methodology, and applications of graph learning will be the main center of discussions at the workshop.
- Authors: Xia, Feng , Lambiotte, Renaud , Aggarwal, Charu
- Date: 2022
- Type: Text , Conference proceedings
- Relation: WWW '22: Companion Proceedings of the Web Conference 2022, Virtual Event, Lyon France April 25 - 29, 2022 p. 1004-1005
- Full Text:
- Reviewed:
- Description: The First Workshop on Graph Learning aims to bring together researchers and practitioners from academia and industry to discuss recent advances and core challenges of graph learning. This workshop will be established as a platform for multiple disciplines such as computer science, applied mathematics, physics, social sciences, data science, complex networks, and systems engineering. Core challenges in regard to theory, methodology, and applications of graph learning will be the main center of discussions at the workshop.
Context-dependent security enforcement of statistical databases
- Ryan, Joe, Mishra, Vivek, Stranieri, Andrew, Miller, Mirka
- Authors: Ryan, Joe , Mishra, Vivek , Stranieri, Andrew , Miller, Mirka
- Date: 2005
- Type: Text , Conference paper
- Relation: Paper presented at the 4th WSEAS International Conference on Information Security, Communications and Computers, Tenerife, Spain, 16-18 December 2005, Tenerife, Spain : 16th December, 2005
- Full Text:
- Reviewed:
- Description: E1
- Description: 2003001390
- Authors: Ryan, Joe , Mishra, Vivek , Stranieri, Andrew , Miller, Mirka
- Date: 2005
- Type: Text , Conference paper
- Relation: Paper presented at the 4th WSEAS International Conference on Information Security, Communications and Computers, Tenerife, Spain, 16-18 December 2005, Tenerife, Spain : 16th December, 2005
- Full Text:
- Reviewed:
- Description: E1
- Description: 2003001390
Abnormal microRNA expression in cardiac hypertrophy and the regulation of the Endog gene
- Quarrell, Sean, Marques, Francine, Jayaswal, Vivek, Curl, Claire, Nankervis, Scott, Yang, Jean, Delbridge, Lea, Harrap, Stephen, Charchar, Fadi
- Authors: Quarrell, Sean , Marques, Francine , Jayaswal, Vivek , Curl, Claire , Nankervis, Scott , Yang, Jean , Delbridge, Lea , Harrap, Stephen , Charchar, Fadi
- Date: 2012
- Type: Text , Journal article
- Relation: Heart, Lung and Circulation Vol. 21, no. Supplement 1 (2012), p. s7
- Full Text: false
- Reviewed:
- Description: A deficiency in the gene for endonuclease G (Endog) was recently described as a genetic determinant of cardiac hypertrophy. The mechanisms involved in the regulation of Endog, however, are still to be elucidated. Therefore we hypothesised that Endog, being regulated by small regulatory non-coding RNAs called microRNAs (miRNAs), could contribute to the cardiac hypertrophy of the Hypertrophic Heart Rat (HHR), a human polygenic model of cardiac hypertrophy. From birth the HHR has less and smaller cardiomyocytes, which leads to hypertrophy and cardiac failure later in life. In this study, we examined genome-wide miRNA expression by Agilent Rat miRNA Microarray Kit Release 16.0 and Endog mRNA levels by real-time PCR in the left ventricle of neonatal HHR compared to age-matched rats from its authentic control, the Normal Heart Rat (NHR). Endog mRNA was significantly under-expressed in the HHR (fold change=−4.7; P=0.0001). Sixty-seven miRNAs (FDR P<0.05 and fold change>1.1) were differentially expressed between HHR and NHR (n=16). We then performed an in silico analysis to predict the miRNAs that are able to bind to the 3′ untranslated region of Endog mRNA, and therefore could regulate Endog levels. We discovered that the miRNAs let-7b, miR-338 and miR-347 are predicted to bind to Endog mRNA. Functional studies are being undertaken to determine whether these miRNAs can regulate Endog mRNA levels in vitro and their role in the pathological processes leading to cardiac hypertrophy. These miRNAs could be a new target for the prevention and treatment of cardiac hypertrophy in humans
Extension of MIH for FPMIPv6 (EMIH-FPMIPv6) to support optimized heterogeneous handover
- Guan, Jianfeng, Sharma, Vishal, You, Ilsun, Atiquzzaman, Mohammed, Imran, Muhammad
- Authors: Guan, Jianfeng , Sharma, Vishal , You, Ilsun , Atiquzzaman, Mohammed , Imran, Muhammad
- Date: 2019
- Type: Text , Journal article
- Relation: Future Generation Computer Systems Vol. 97, no. (2019), p. 775-791
- Full Text:
- Reviewed:
- Description: Fast handover for Proxy Mobile IPv6 (FPMIPv6) can optimize the handover performance compared with PMIPv6 in terms of handover delay and packet loss. However, FPMIPv6 cannot handle heterogeneous handovers due to the lack of unified Layer 2 triggering mechanism. While Media Independent Handover (MIH) can provide heterogeneous handover support, and a lot of MIH-based integration solutions have been proposed. However, most of these solutions are based on the integration of MIH and PMIPv6, and require additional mechanisms such as L2 scanning, handover coordinator or neighbor discovery, which are out of the scope of MIH and difficult to be standardized. Furthermore, the direct integration of MIH and FPMIPv6 will cause redundant signaling cost due to the similar functions such as MIH handover commit procedure in MIH and inter-MAG (Mobility Access Gateway) tunnel setup in FPMIPv6. This paper provides a comprehensive survey on these solutions and compares each solution's functionality and characteristic, and then proposes an integration scheme based on Extension of MIH for FPMIPv6 (EMIH-FPMIPv6) to support optimized heterogeneous handover, which extends the existing MIH standard and reduces the redundant messages interaction caused by FPMIPv6 and MIH. This paper adopts the city section mobility model and heterogeneous networks model to analyze and compare the performance of EMIH-FPMIPv6 under different heterogeneous handover scenarios. The analytical results show that EMIH-FPMIPv6 is capable of reducing the handover delay and the signaling cost compared to the solution specified in MIH standard (noted as standard handover solution) and FPMIPv6. © 2019
- Authors: Guan, Jianfeng , Sharma, Vishal , You, Ilsun , Atiquzzaman, Mohammed , Imran, Muhammad
- Date: 2019
- Type: Text , Journal article
- Relation: Future Generation Computer Systems Vol. 97, no. (2019), p. 775-791
- Full Text:
- Reviewed:
- Description: Fast handover for Proxy Mobile IPv6 (FPMIPv6) can optimize the handover performance compared with PMIPv6 in terms of handover delay and packet loss. However, FPMIPv6 cannot handle heterogeneous handovers due to the lack of unified Layer 2 triggering mechanism. While Media Independent Handover (MIH) can provide heterogeneous handover support, and a lot of MIH-based integration solutions have been proposed. However, most of these solutions are based on the integration of MIH and PMIPv6, and require additional mechanisms such as L2 scanning, handover coordinator or neighbor discovery, which are out of the scope of MIH and difficult to be standardized. Furthermore, the direct integration of MIH and FPMIPv6 will cause redundant signaling cost due to the similar functions such as MIH handover commit procedure in MIH and inter-MAG (Mobility Access Gateway) tunnel setup in FPMIPv6. This paper provides a comprehensive survey on these solutions and compares each solution's functionality and characteristic, and then proposes an integration scheme based on Extension of MIH for FPMIPv6 (EMIH-FPMIPv6) to support optimized heterogeneous handover, which extends the existing MIH standard and reduces the redundant messages interaction caused by FPMIPv6 and MIH. This paper adopts the city section mobility model and heterogeneous networks model to analyze and compare the performance of EMIH-FPMIPv6 under different heterogeneous handover scenarios. The analytical results show that EMIH-FPMIPv6 is capable of reducing the handover delay and the signaling cost compared to the solution specified in MIH standard (noted as standard handover solution) and FPMIPv6. © 2019
Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019 : results from the Global Burden of Disease Study 2019
- Kyu, Hmwe, Vongpradith, Avina, Sirota, Sarah, Novotney, Amanda, Troeger, Christopher, Doxey, Matthew, Bender, Rose, Ledesma, Jorge, Biehl, Molly, Albertson, Samuel, Frostad, Joseph, Burkart, Katrin, Bennitt, Fiona, Zhao, Jeff, Gardner, William, Hagins, Hailey, Bryazka, Dana, Dominguez, Regina, Abate, Semagn, Abdelmasseh, Michael, Abdoli, Amir, Abdoli, Gholamreza, Abedi, Aidin, Abedi, Vida, Abegaz, Tadesse, Abidi, Hassan, Aboagye, Richard, Nguyen, Huy, Rahman, Muhammad Aziz
- Authors: Kyu, Hmwe , Vongpradith, Avina , Sirota, Sarah , Novotney, Amanda , Troeger, Christopher , Doxey, Matthew , Bender, Rose , Ledesma, Jorge , Biehl, Molly , Albertson, Samuel , Frostad, Joseph , Burkart, Katrin , Bennitt, Fiona , Zhao, Jeff , Gardner, William , Hagins, Hailey , Bryazka, Dana , Dominguez, Regina , Abate, Semagn , Abdelmasseh, Michael , Abdoli, Amir , Abdoli, Gholamreza , Abedi, Aidin , Abedi, Vida , Abegaz, Tadesse , Abidi, Hassan , Aboagye, Richard , Nguyen, Huy , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Infectious Diseases Vol. 22, no. 11 (2022), p. 1626-1647
- Full Text:
- Reviewed:
- Description: Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting well eing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman and Huy Nguyen” is provided in this record**
- Authors: Kyu, Hmwe , Vongpradith, Avina , Sirota, Sarah , Novotney, Amanda , Troeger, Christopher , Doxey, Matthew , Bender, Rose , Ledesma, Jorge , Biehl, Molly , Albertson, Samuel , Frostad, Joseph , Burkart, Katrin , Bennitt, Fiona , Zhao, Jeff , Gardner, William , Hagins, Hailey , Bryazka, Dana , Dominguez, Regina , Abate, Semagn , Abdelmasseh, Michael , Abdoli, Amir , Abdoli, Gholamreza , Abedi, Aidin , Abedi, Vida , Abegaz, Tadesse , Abidi, Hassan , Aboagye, Richard , Nguyen, Huy , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Infectious Diseases Vol. 22, no. 11 (2022), p. 1626-1647
- Full Text:
- Reviewed:
- Description: Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting well eing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman and Huy Nguyen” is provided in this record**
Diabetes mortality and trends before 25 years of age : an analysis of the global burden of disease study 2019
- Cousin, Ewerton, Duncan, Bruce, Stein, Caroline, Ong, Kanyin, Vos, Theo, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoli, Amir, Abd-Rabu, Rami, Abolhassani, Hassan, Abu-Gharbieh, Eman, Accrombessi, Manfred, Adnani, Qorinah, Afzal, Muhammad, Agarwal, Gina, Agrawaal, Krishna, Agudelo-Botero, Marcela, Ahinkorah, Bright, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmadi, Ali, Ahmed, Ali, Ahmed Salih, Yusra, Akande-Sholabi, Wuraola, Akram, Tayyaba, Al Hamad, Hanadi, Al-Aly, Ziyad, Rahman, Muhammad Aziz
- Authors: Cousin, Ewerton , Duncan, Bruce , Stein, Caroline , Ong, Kanyin , Vos, Theo , Abbafati, Cristiana , Abbasi-Kangevari, Mohsen , Abdelmasseh, Michael , Abdoli, Amir , Abd-Rabu, Rami , Abolhassani, Hassan , Abu-Gharbieh, Eman , Accrombessi, Manfred , Adnani, Qorinah , Afzal, Muhammad , Agarwal, Gina , Agrawaal, Krishna , Agudelo-Botero, Marcela , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Keivan , Ahmadi, Sepideh , Ahmadi, Ali , Ahmed, Ali , Ahmed Salih, Yusra , Akande-Sholabi, Wuraola , Akram, Tayyaba , Al Hamad, Hanadi , Al-Aly, Ziyad , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Diabetes and Endocrinology Vol. 10, no. 3 (2022), p. 177-192
- Full Text:
- Reviewed:
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0%. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (
- Authors: Cousin, Ewerton , Duncan, Bruce , Stein, Caroline , Ong, Kanyin , Vos, Theo , Abbafati, Cristiana , Abbasi-Kangevari, Mohsen , Abdelmasseh, Michael , Abdoli, Amir , Abd-Rabu, Rami , Abolhassani, Hassan , Abu-Gharbieh, Eman , Accrombessi, Manfred , Adnani, Qorinah , Afzal, Muhammad , Agarwal, Gina , Agrawaal, Krishna , Agudelo-Botero, Marcela , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Keivan , Ahmadi, Sepideh , Ahmadi, Ali , Ahmed, Ali , Ahmed Salih, Yusra , Akande-Sholabi, Wuraola , Akram, Tayyaba , Al Hamad, Hanadi , Al-Aly, Ziyad , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Diabetes and Endocrinology Vol. 10, no. 3 (2022), p. 177-192
- Full Text:
- Reviewed:
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0%. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Description: Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods: We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings: In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (
Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019 a systematic analysis for the global burden of disease study 2019
- Kocarnik, Jonathan, Compton, Kelly, Dean, Fean, Fu, Weijia, Gaw, Brian, Harvey, James, Henrikson, Hannah, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief, Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac, Adnani, Qorinath, Advani, Shailesh, Afzal, Muhammad, Aghaali, Mohammad, Ahinkorah, Bright, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik, Rahman, Muhammad Aziz
- Authors: Kocarnik, Jonathan , Compton, Kelly , Dean, Fean , Fu, Weijia , Gaw, Brian , Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa , Xu, Rixing , Ababneh, Emad , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Elsalam, Sherief , Abdoli, Amir , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac , Adnani, Qorinath , Advani, Shailesh , Afzal, Muhammad , Aghaali, Mohammad , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Ali , Ahmadi, Sepideh , Ahmed Rashid, Tarik , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: JAMA Oncology Vol. 8, no. 3 (2022), p. 420-444
- Full Text:
- Reviewed:
- Description: IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world. © 2022 American Medical Association. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Authors: Kocarnik, Jonathan , Compton, Kelly , Dean, Fean , Fu, Weijia , Gaw, Brian , Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa , Xu, Rixing , Ababneh, Emad , Abbasi-Kangevari, Mohsen , Abbastabar, Hedayat , Abd-Elsalam, Sherief , Abdoli, Amir , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac , Adnani, Qorinath , Advani, Shailesh , Afzal, Muhammad , Aghaali, Mohammad , Ahinkorah, Bright , Ahmad, Sajjad , Ahmad, Tauseef , Ahmadi, Ali , Ahmadi, Sepideh , Ahmed Rashid, Tarik , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: JAMA Oncology Vol. 8, no. 3 (2022), p. 420-444
- Full Text:
- Reviewed:
- Description: IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world. © 2022 American Medical Association. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
Global, regional, and national burden of stroke and its risk factors, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019
- Feigin, Valery, Stark, Benjamin, Johnson, Catherine, Roth, Gregory, Rahman, Muhammad Aziz
- Authors: Feigin, Valery , Stark, Benjamin , Johnson, Catherine , Roth, Gregory , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: The Lancet Neurology Vol. 20, no. 10 (2021), p. 1-26
- Full Text:
- Reviewed:
- Description: Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Feigin, Valery , Stark, Benjamin , Johnson, Catherine , Roth, Gregory , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: The Lancet Neurology Vol. 20, no. 10 (2021), p. 1-26
- Full Text:
- Reviewed:
- Description: Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Higher-order structure based anomaly detection on attributed networks
- Yuan, Xu, Zhou, Na, Yu, Shuo, Huang, Huafei, Chen, Zhikui, Xia, Feng
- Authors: Yuan, Xu , Zhou, Na , Yu, Shuo , Huang, Huafei , Chen, Zhikui , Xia, Feng
- Date: 2021
- Type: Text , Conference paper
- Relation: 2021 IEEE International Conference on Big Data, Big Data 2021, virtual online, 15-18 December 2021, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 p. 2691-2700
- Full Text:
- Reviewed:
- Description: Anomaly detection (such as telecom fraud detection and medical image detection) has attracted the increasing attention of people. The complex interaction between multiple entities widely exists in the network, which can reflect specific human behavior patterns. Such patterns can be modeled by higher-order network structures, thus benefiting anomaly detection on attributed networks. However, due to the lack of an effective mechanism in most existing graph learning methods, these complex interaction patterns fail to be applied in detecting anomalies, hindering the progress of anomaly detection to some extent. In order to address the aforementioned issue, we present a higher-order structure based anomaly detection (GUIDE) method. We exploit attribute autoencoder and structure autoencoder to reconstruct node attributes and higher-order structures, respectively. Moreover, we design a graph attention layer to evaluate the significance of neighbors to nodes through their higher-order structure differences. Finally, we leverage node attribute and higher-order structure reconstruction errors to find anomalies. Extensive experiments on five real-world datasets (i.e., ACM, Citation, Cora, DBLP, and Pubmed) are implemented to verify the effectiveness of GUIDE. Experimental results in terms of ROC-AUC, PR-AUC, and Recall@K show that GUIDE significantly outperforms the state-of-art methods. © 2021 IEEE.
- Authors: Yuan, Xu , Zhou, Na , Yu, Shuo , Huang, Huafei , Chen, Zhikui , Xia, Feng
- Date: 2021
- Type: Text , Conference paper
- Relation: 2021 IEEE International Conference on Big Data, Big Data 2021, virtual online, 15-18 December 2021, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 p. 2691-2700
- Full Text:
- Reviewed:
- Description: Anomaly detection (such as telecom fraud detection and medical image detection) has attracted the increasing attention of people. The complex interaction between multiple entities widely exists in the network, which can reflect specific human behavior patterns. Such patterns can be modeled by higher-order network structures, thus benefiting anomaly detection on attributed networks. However, due to the lack of an effective mechanism in most existing graph learning methods, these complex interaction patterns fail to be applied in detecting anomalies, hindering the progress of anomaly detection to some extent. In order to address the aforementioned issue, we present a higher-order structure based anomaly detection (GUIDE) method. We exploit attribute autoencoder and structure autoencoder to reconstruct node attributes and higher-order structures, respectively. Moreover, we design a graph attention layer to evaluate the significance of neighbors to nodes through their higher-order structure differences. Finally, we leverage node attribute and higher-order structure reconstruction errors to find anomalies. Extensive experiments on five real-world datasets (i.e., ACM, Citation, Cora, DBLP, and Pubmed) are implemented to verify the effectiveness of GUIDE. Experimental results in terms of ROC-AUC, PR-AUC, and Recall@K show that GUIDE significantly outperforms the state-of-art methods. © 2021 IEEE.
Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
- Ong, Kanyin, Stafford, Lauryn, McLaughlin, Susan, Boyko, Edward, Vollset, Stein, Smith, Amanda, Dalton, Bronte, Duprey, Joe, Cruz, Jessica, Hagins, Hailey, Lindstedt, Paulina, Aali, Amirali, Abate, Yohannes, Abate, Melew, Abbasian, Mohammadreza, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, ElHafeez, Samar, Abd-Rabu, Rami, Abdulah, Deldar, Abdullah, Abu, Abedi, Vida, Abidi, Hassan, Aboagye, Richard, Abolhassani, Hassan, Abu-Gharbieh, Eshetie, Abu-Zaid, Ahmed, Adane, Tigist, Adane, Denberu, Rahman, Muhammad Aziz
- Authors: Ong, Kanyin , Stafford, Lauryn , McLaughlin, Susan , Boyko, Edward , Vollset, Stein , Smith, Amanda , Dalton, Bronte , Duprey, Joe , Cruz, Jessica , Hagins, Hailey , Lindstedt, Paulina , Aali, Amirali , Abate, Yohannes , Abate, Melew , Abbasian, Mohammadreza , Abbasi-Kangevari, Zeinab , Abbasi-Kangevari, Mohsen , ElHafeez, Samar , Abd-Rabu, Rami , Abdulah, Deldar , Abdullah, Abu , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abu-Gharbieh, Eshetie , Abu-Zaid, Ahmed , Adane, Tigist , Adane, Denberu , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Vol. 402, no. 10397 (2023), p. 203-234
- Full Text:
- Reviewed:
- Description: Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings: In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disea e course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Ong, Kanyin , Stafford, Lauryn , McLaughlin, Susan , Boyko, Edward , Vollset, Stein , Smith, Amanda , Dalton, Bronte , Duprey, Joe , Cruz, Jessica , Hagins, Hailey , Lindstedt, Paulina , Aali, Amirali , Abate, Yohannes , Abate, Melew , Abbasian, Mohammadreza , Abbasi-Kangevari, Zeinab , Abbasi-Kangevari, Mohsen , ElHafeez, Samar , Abd-Rabu, Rami , Abdulah, Deldar , Abdullah, Abu , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abu-Gharbieh, Eshetie , Abu-Zaid, Ahmed , Adane, Tigist , Adane, Denberu , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Vol. 402, no. 10397 (2023), p. 203-234
- Full Text:
- Reviewed:
- Description: Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings: In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disea e course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019
- Wu, Dongze, Jin, Yingzhao, Xing, Yuhan, Abate, Melsew, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Allah, Foad, Abdelmasseh, Michael, Abdollahifar, Mohammad-Amin, Abdulah, Deldar, Abedi, Aidin, Abedi, Vida, Abidi, Hassan, Aboagye, Richard, Abolhassani, Hassan, Abuabara, Katrina, Abyadeh, Morteza, Addo, Isaac, Adeniji, Kayode, Adepoju, Abiola, Adesina, Miracle, Adnani, Qorinah, Afarideh, Mohsen, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Arriagada, Constanza, Ahmad, Antonella, Rahman, Muhammad Aziz, Alif, Sheikh
- Authors: Wu, Dongze , Jin, Yingzhao , Xing, Yuhan , Abate, Melsew , Abbasian, Mohammadreza , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abd-Allah, Foad , Abdelmasseh, Michael , Abdollahifar, Mohammad-Amin , Abdulah, Deldar , Abedi, Aidin , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abuabara, Katrina , Abyadeh, Morteza , Addo, Isaac , Adeniji, Kayode , Adepoju, Abiola , Adesina, Miracle , Adnani, Qorinah , Afarideh, Mohsen , Aghamiri, Shahin , Agodi, Antonella , Agrawal, Anurag , Arriagada, Constanza , Ahmad, Antonella , Rahman, Muhammad Aziz , Alif, Sheikh
- Date: 2023
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 64, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods: We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings: In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of
- Authors: Wu, Dongze , Jin, Yingzhao , Xing, Yuhan , Abate, Melsew , Abbasian, Mohammadreza , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abd-Allah, Foad , Abdelmasseh, Michael , Abdollahifar, Mohammad-Amin , Abdulah, Deldar , Abedi, Aidin , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abuabara, Katrina , Abyadeh, Morteza , Addo, Isaac , Adeniji, Kayode , Adepoju, Abiola , Adesina, Miracle , Adnani, Qorinah , Afarideh, Mohsen , Aghamiri, Shahin , Agodi, Antonella , Agrawal, Anurag , Arriagada, Constanza , Ahmad, Antonella , Rahman, Muhammad Aziz , Alif, Sheikh
- Date: 2023
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 64, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. Methods: We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. Findings: In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of
Sensing reality? New monitoring technologies for global sustainability standards
- Gale, Fred, Ascui, Francisco, Lovell, Heather
- Authors: Gale, Fred , Ascui, Francisco , Lovell, Heather
- Date: 2017
- Type: Text , Journal article
- Relation: Global Environmental Politics Vol. 17, no. 2 (2017), p. 65-83
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- Description: In the 1990s, civil society organizations partnered with business to “green” global supply chains by setting up formal sustainability standard-setting organizations (SSOs) in secwtors including organic food, fair trade, forestry, and fisheries. Although SSOs have withstood the long-standing allegations that they are unnecessary, costly, nondemocratic, and trade-distorting, they must now respond to a new challenge, arising from recent developments in technology. Conceived in the pre-Internet era, SSOs are discovering that verification systems that utilize annual, expert-led, low-tech field audits are under pressure from new information and communication technologies that collect, aggregate, interpret, and display open-source “Big Data” in almost real time. Drawing on the concept of governmentality and on interviews with experts in sustainability certification and natural capital accounting, we argue that while these technological developments offer many positive opportunities, they also enable competing alternatives to the prevailing “truth” or governing rationality about what is happening “on the ground,” which is of critical existential importance to SSOs as guarantors of trust in claims about sustainable production. While SSOs are not helpless in the face of this challenge, we conclude that they will need to do more than take incremental action: rather, they should respond actively to the disintermediation challenge from new virtual monitoring technologies if they are to remain relevant in the coming decade. © 2017 by the Massachusetts Institute of Technology.
- Authors: Gale, Fred , Ascui, Francisco , Lovell, Heather
- Date: 2017
- Type: Text , Journal article
- Relation: Global Environmental Politics Vol. 17, no. 2 (2017), p. 65-83
- Full Text:
- Reviewed:
- Description: In the 1990s, civil society organizations partnered with business to “green” global supply chains by setting up formal sustainability standard-setting organizations (SSOs) in secwtors including organic food, fair trade, forestry, and fisheries. Although SSOs have withstood the long-standing allegations that they are unnecessary, costly, nondemocratic, and trade-distorting, they must now respond to a new challenge, arising from recent developments in technology. Conceived in the pre-Internet era, SSOs are discovering that verification systems that utilize annual, expert-led, low-tech field audits are under pressure from new information and communication technologies that collect, aggregate, interpret, and display open-source “Big Data” in almost real time. Drawing on the concept of governmentality and on interviews with experts in sustainability certification and natural capital accounting, we argue that while these technological developments offer many positive opportunities, they also enable competing alternatives to the prevailing “truth” or governing rationality about what is happening “on the ground,” which is of critical existential importance to SSOs as guarantors of trust in claims about sustainable production. While SSOs are not helpless in the face of this challenge, we conclude that they will need to do more than take incremental action: rather, they should respond actively to the disintermediation challenge from new virtual monitoring technologies if they are to remain relevant in the coming decade. © 2017 by the Massachusetts Institute of Technology.
Graph learning for anomaly analytics : algorithms, applications, and challenges
- Ren, Jing, Xia, Feng, Lee, Ivan, Noori Hoshyar, Azadeh, Aggarwal, Charu
- Authors: Ren, Jing , Xia, Feng , Lee, Ivan , Noori Hoshyar, Azadeh , Aggarwal, Charu
- Date: 2023
- Type: Text , Journal article
- Relation: ACM Transactions on Intelligent Systems and Technology Vol. 14, no. 2 (2023), p.
- Full Text:
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- Description: Anomaly analytics is a popular and vital task in various research contexts that has been studied for several decades. At the same time, deep learning has shown its capacity in solving many graph-based tasks, like node classification, link prediction, and graph classification. Recently, many studies are extending graph learning models for solving anomaly analytics problems, resulting in beneficial advances in graph-based anomaly analytics techniques. In this survey, we provide a comprehensive overview of graph learning methods for anomaly analytics tasks. We classify them into four categories based on their model architectures, namely graph convolutional network, graph attention network, graph autoencoder, and other graph learning models. The differences between these methods are also compared in a systematic manner. Furthermore, we outline several graph-based anomaly analytics applications across various domains in the real world. Finally, we discuss five potential future research directions in this rapidly growing field. © 2023 Association for Computing Machinery.
- Authors: Ren, Jing , Xia, Feng , Lee, Ivan , Noori Hoshyar, Azadeh , Aggarwal, Charu
- Date: 2023
- Type: Text , Journal article
- Relation: ACM Transactions on Intelligent Systems and Technology Vol. 14, no. 2 (2023), p.
- Full Text:
- Reviewed:
- Description: Anomaly analytics is a popular and vital task in various research contexts that has been studied for several decades. At the same time, deep learning has shown its capacity in solving many graph-based tasks, like node classification, link prediction, and graph classification. Recently, many studies are extending graph learning models for solving anomaly analytics problems, resulting in beneficial advances in graph-based anomaly analytics techniques. In this survey, we provide a comprehensive overview of graph learning methods for anomaly analytics tasks. We classify them into four categories based on their model architectures, namely graph convolutional network, graph attention network, graph autoencoder, and other graph learning models. The differences between these methods are also compared in a systematic manner. Furthermore, we outline several graph-based anomaly analytics applications across various domains in the real world. Finally, we discuss five potential future research directions in this rapidly growing field. © 2023 Association for Computing Machinery.
Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019
- Ikuta, Kevin, Swetschinski, Lucien, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia, Davis Weaver, Nicole, Wool, Eve, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir, Abidi, Hassan, Aboagye, Richard, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan, Adane, Tigist, Addo, Isaac, Adegboye, Oyelola, Adnan, Mohammad, Adnani, Qorinah, Afzal, Muhammad, Afzal, Saira, Rahman, Muhammad Aziz
- Authors: Ikuta, Kevin , Swetschinski, Lucien , Robles Aguilar, Gisela , Sharara, Fablina , Mestrovic, Tomislav , Gray, Authia , Davis Weaver, Nicole , Wool, Eve , Han, Chieh , Gershberg Hayoon, Anna , Aali, Amirali , Abate, Semagn , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abd-Elsalam, Sherief , Abebe, Getachew , Abedi, Aidin , Abhari, Amir , Abidi, Hassan , Aboagye, Richard , Absalan, Abdorrahim , Abubaker Ali, Hiwa , Acuna, Juan , Adane, Tigist , Addo, Isaac , Adegboye, Oyelola , Adnan, Mohammad , Adnani, Qorinah , Afzal, Muhammad , Afzal, Saira , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Vol. 400, no. 10369 (2022), p. 2221-2248
- Full Text:
- Reviewed:
- Description: Background: Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. Methods: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. Findings: From an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2–18·1) of all global deaths and 56·2% (52·1–60·1) of all sepsis-related deaths in 2019. Five leading pathogens—Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa—were responsible for 54·9% (52·9–56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185–285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4–71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. Interpretation: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vac ines. These estimates can be used to help set priorities for vaccine need, demand, and development. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Ikuta, Kevin , Swetschinski, Lucien , Robles Aguilar, Gisela , Sharara, Fablina , Mestrovic, Tomislav , Gray, Authia , Davis Weaver, Nicole , Wool, Eve , Han, Chieh , Gershberg Hayoon, Anna , Aali, Amirali , Abate, Semagn , Abbasi-Kangevari, Mohsen , Abbasi-Kangevari, Zeinab , Abd-Elsalam, Sherief , Abebe, Getachew , Abedi, Aidin , Abhari, Amir , Abidi, Hassan , Aboagye, Richard , Absalan, Abdorrahim , Abubaker Ali, Hiwa , Acuna, Juan , Adane, Tigist , Addo, Isaac , Adegboye, Oyelola , Adnan, Mohammad , Adnani, Qorinah , Afzal, Muhammad , Afzal, Saira , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Vol. 400, no. 10369 (2022), p. 2221-2248
- Full Text:
- Reviewed:
- Description: Background: Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. Methods: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. Findings: From an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2–18·1) of all global deaths and 56·2% (52·1–60·1) of all sepsis-related deaths in 2019. Five leading pathogens—Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa—were responsible for 54·9% (52·9–56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185–285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4–71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. Interpretation: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vac ines. These estimates can be used to help set priorities for vaccine need, demand, and development. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Climate change and food security to 2030: a global economy-wide perspective
- Valenzuela, Ernesto, Anderson, Kym
- Authors: Valenzuela, Ernesto , Anderson, Kym
- Date: 2011
- Type: Text , Journal article
- Relation: Economia Agraria y Recursos Naturales Vol. 11, no. 1 (2011 2011), p. 29-58
- Full Text:
- Reviewed:
- Description: Recent analyses of the possible adverse effects of climate change on agriculture in developing countries have raised food security concerns, especially for farm households who comprise most of the world’s poor and whose crop productivity is expected to fall. The present study uses a global economy-wide model to assess the expected (in some cases positive) effects on temperate zone crop productivity and the upward pressure on farm product prices from yield falls in developing countries. Also modelled is an expected adverse effect of higher temperatures and humidity in the tropics on the productivity of unskilled workers in developing countries. The net effect of those combined shocks on the agricultural sector’s competitiveness in any developing country is an economy-wide empirical matter, since unskilled workers are employed in nonfarm as well as farm activities. Given the degrees of uncertainty about plausible effects of climate change, our modelling accounts for a range of yield productivity and labor shocks. The results provide a range of consequences for international agricultural prices and for national food consumption, net farm income and economic welfare.
- Authors: Valenzuela, Ernesto , Anderson, Kym
- Date: 2011
- Type: Text , Journal article
- Relation: Economia Agraria y Recursos Naturales Vol. 11, no. 1 (2011 2011), p. 29-58
- Full Text:
- Reviewed:
- Description: Recent analyses of the possible adverse effects of climate change on agriculture in developing countries have raised food security concerns, especially for farm households who comprise most of the world’s poor and whose crop productivity is expected to fall. The present study uses a global economy-wide model to assess the expected (in some cases positive) effects on temperate zone crop productivity and the upward pressure on farm product prices from yield falls in developing countries. Also modelled is an expected adverse effect of higher temperatures and humidity in the tropics on the productivity of unskilled workers in developing countries. The net effect of those combined shocks on the agricultural sector’s competitiveness in any developing country is an economy-wide empirical matter, since unskilled workers are employed in nonfarm as well as farm activities. Given the degrees of uncertainty about plausible effects of climate change, our modelling accounts for a range of yield productivity and labor shocks. The results provide a range of consequences for international agricultural prices and for national food consumption, net farm income and economic welfare.
Opportunities and barriers for FinTech in SAARC and ASEAN Countries
- Imam, Tasadduq, McInnes, Angelique, Colombage, Sisira, Grose, Robert
- Authors: Imam, Tasadduq , McInnes, Angelique , Colombage, Sisira , Grose, Robert
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of risk and financial management Vol. 15, no. 2 (2022), p. 77
- Full Text:
- Reviewed:
- Description: This article assesses the opportunities and challenges for different categories of FinTechs in the SAARC and ASEAN regions. We consider the global financial inclusion data released by the World Bank and map the responses to gain insights into the opportunities and challenges for FinTechs in the respective regions. We develop a new index, termed the FinTech Opportunity Index (FOI), to conceptualise the opportunities and barriers based on individual savings, borrowings, purchasing behaviour, and payment preferences. We note that FinTech services have potential opportunities for expansion in the ASEAN regions but less so in the SAARC regions. The need for different types of FinTech services varies between regions. Services such as crowdfunding, neobanks, and InsurTech have potential in the ASEAN regions, especially with the positive attitude towards entrepreneurship and asset investments. In the SAARC regions, InsurTechs linked to health care has potential along with LendTechs and neobanks. We further note that males, and the young are more likely adopters of FinTechs in both regions. The analysis suggests the need for innovative promotions and education to motivate the more sceptical, especially women and the elderly population, to adopt FinTech services.
- Authors: Imam, Tasadduq , McInnes, Angelique , Colombage, Sisira , Grose, Robert
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of risk and financial management Vol. 15, no. 2 (2022), p. 77
- Full Text:
- Reviewed:
- Description: This article assesses the opportunities and challenges for different categories of FinTechs in the SAARC and ASEAN regions. We consider the global financial inclusion data released by the World Bank and map the responses to gain insights into the opportunities and challenges for FinTechs in the respective regions. We develop a new index, termed the FinTech Opportunity Index (FOI), to conceptualise the opportunities and barriers based on individual savings, borrowings, purchasing behaviour, and payment preferences. We note that FinTech services have potential opportunities for expansion in the ASEAN regions but less so in the SAARC regions. The need for different types of FinTech services varies between regions. Services such as crowdfunding, neobanks, and InsurTech have potential in the ASEAN regions, especially with the positive attitude towards entrepreneurship and asset investments. In the SAARC regions, InsurTechs linked to health care has potential along with LendTechs and neobanks. We further note that males, and the young are more likely adopters of FinTechs in both regions. The analysis suggests the need for innovative promotions and education to motivate the more sceptical, especially women and the elderly population, to adopt FinTech services.
Global, regional, and national burden of respiratory tract cancers and associated risk factors from 1990 to 2019 a systematic analysis for the Global Burden of Disease Study 2019
- Ebrahimi, Hedyeh, Aryan, Zahra, Moghaddam, Sahar, Bisignano, Catherine, Rahman, Muhammad Aziz
- Authors: Ebrahimi, Hedyeh , Aryan, Zahra , Moghaddam, Sahar , Bisignano, Catherine , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: Lancet Respiratory Medicine Vol. 9, no. 9 (SEP 2021), p. 1030-1049
- Full Text:
- Reviewed:
- Description: Background Prevention, control, and treatment of respiratory tract cancers are important steps towards achieving target 3.4 of the UN Sustainable Development Goals (SDGs)-a one-third reduction in premature mortality due to non-communicable diseases by 2030. We aimed to provide global, regional, and national estimates of the burden of tracheal, bronchus, and lung cancer and larynx cancer and their attributable risks from 1990 to 2019. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 methodology, we evaluated the incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) of respiratory tract cancers (ie, tracheal, bronchus, and lung cancer and larynx cancer). Deaths from tracheal, bronchus, and lung cancer and larynx cancer attributable to each risk factor were estimated on the basis of risk exposure, relative risks, and the theoretical minimum risk exposure level input from 204 countries and territories, stratified by sex and Socio-demographic Index (SDI). Trends were estimated from 1990 to 2019, with an emphasis on the 2010-19 period. Findings Globally, there were 2.26 million (95% uncertainty interval 2.07 to 2.45) new cases of tracheal, bronchus, and lung cancer, and 2.04 million (1.88 to 2.19) deaths and 45.9 million (42.3 to 49.3) DALYs due to tracheal, bronchus, and lung cancer in 2019. There were 209 000 (194 000 to 225 000) new cases of larynx cancer, and 123 000 (115 000 to 133 000) deaths and 3.26 million (3.03 to 3.51) DALYs due to larynx cancer globally in 2019. From 2010 to 2019, the number of new tracheal, bronchus, and lung cancer cases increased by 23.3% (12.9 to 33.6) globally and the number of larynx cancer cases increased by 24.7% (16.0 to 34.1) globally. Global age-standardised incidence rates of tracheal, bronchus, and lung cancer decreased by 7.4% (-16.8 to 1.6) and age-standardised incidence rates of larynx cancer decreased by 3.0% (-10.5 to 5.0) in males over the past decade; however, during the same period, age-standardised incidence rates in females increased by 0.9% (-8.2 to 10.2) for tracheal, bronchus, and lung cancer and decreased by 0.5% (-8.4 to 8.1) for larynx cancer. Furthermore, although age-standardised incidence and death rates declined in both sexes combined from 2010 to 2019 at the global level for tracheal, bronchus, lung and larynx cancers, some locations had rising rates, particularly those on the lower end of the SDI range. Smoking contributed to an estimated 64.2% (61.9-66.4) of all deaths from tracheal, bronchus, and lung cancer and 63.4% (56.3-69.3) of all deaths from larynx cancer in 2019. For males and for both sexes combined, smoking was the leading specific risk factor for age-standardised deaths from tracheal, bronchus, and lung cancer per 100 000 in all SDI quintiles and GBD regions in 2019. However, among females, household air pollution from solid fuels was the leading specific risk factor in the low SDI quintile and in three GBD regions (central, eastern, and western sub-Saharan Africa) in 2019. Interpretation The numbers of incident cases and deaths from tracheal, bronchus, and lung cancer and larynx cancer increased globally during the past decade. Even more concerning, age-standardised incidence and death rates due to tracheal, bronchus, lung cancer and larynx cancer increased in some populations-namely, in the lower SDI quintiles and among females. Preventive measures such as smoking control interventions, air quality management programmes focused on major air pollution sources, and widespread access to clean energy should be prioritised in these settings. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.
- Authors: Ebrahimi, Hedyeh , Aryan, Zahra , Moghaddam, Sahar , Bisignano, Catherine , Rahman, Muhammad Aziz
- Date: 2021
- Type: Text , Journal article
- Relation: Lancet Respiratory Medicine Vol. 9, no. 9 (SEP 2021), p. 1030-1049
- Full Text:
- Reviewed:
- Description: Background Prevention, control, and treatment of respiratory tract cancers are important steps towards achieving target 3.4 of the UN Sustainable Development Goals (SDGs)-a one-third reduction in premature mortality due to non-communicable diseases by 2030. We aimed to provide global, regional, and national estimates of the burden of tracheal, bronchus, and lung cancer and larynx cancer and their attributable risks from 1990 to 2019. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 methodology, we evaluated the incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) of respiratory tract cancers (ie, tracheal, bronchus, and lung cancer and larynx cancer). Deaths from tracheal, bronchus, and lung cancer and larynx cancer attributable to each risk factor were estimated on the basis of risk exposure, relative risks, and the theoretical minimum risk exposure level input from 204 countries and territories, stratified by sex and Socio-demographic Index (SDI). Trends were estimated from 1990 to 2019, with an emphasis on the 2010-19 period. Findings Globally, there were 2.26 million (95% uncertainty interval 2.07 to 2.45) new cases of tracheal, bronchus, and lung cancer, and 2.04 million (1.88 to 2.19) deaths and 45.9 million (42.3 to 49.3) DALYs due to tracheal, bronchus, and lung cancer in 2019. There were 209 000 (194 000 to 225 000) new cases of larynx cancer, and 123 000 (115 000 to 133 000) deaths and 3.26 million (3.03 to 3.51) DALYs due to larynx cancer globally in 2019. From 2010 to 2019, the number of new tracheal, bronchus, and lung cancer cases increased by 23.3% (12.9 to 33.6) globally and the number of larynx cancer cases increased by 24.7% (16.0 to 34.1) globally. Global age-standardised incidence rates of tracheal, bronchus, and lung cancer decreased by 7.4% (-16.8 to 1.6) and age-standardised incidence rates of larynx cancer decreased by 3.0% (-10.5 to 5.0) in males over the past decade; however, during the same period, age-standardised incidence rates in females increased by 0.9% (-8.2 to 10.2) for tracheal, bronchus, and lung cancer and decreased by 0.5% (-8.4 to 8.1) for larynx cancer. Furthermore, although age-standardised incidence and death rates declined in both sexes combined from 2010 to 2019 at the global level for tracheal, bronchus, lung and larynx cancers, some locations had rising rates, particularly those on the lower end of the SDI range. Smoking contributed to an estimated 64.2% (61.9-66.4) of all deaths from tracheal, bronchus, and lung cancer and 63.4% (56.3-69.3) of all deaths from larynx cancer in 2019. For males and for both sexes combined, smoking was the leading specific risk factor for age-standardised deaths from tracheal, bronchus, and lung cancer per 100 000 in all SDI quintiles and GBD regions in 2019. However, among females, household air pollution from solid fuels was the leading specific risk factor in the low SDI quintile and in three GBD regions (central, eastern, and western sub-Saharan Africa) in 2019. Interpretation The numbers of incident cases and deaths from tracheal, bronchus, and lung cancer and larynx cancer increased globally during the past decade. Even more concerning, age-standardised incidence and death rates due to tracheal, bronchus, lung cancer and larynx cancer increased in some populations-namely, in the lower SDI quintiles and among females. Preventive measures such as smoking control interventions, air quality management programmes focused on major air pollution sources, and widespread access to clean energy should be prioritised in these settings. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.
Global injury morbidity and mortality from 1990 to 2017 : results from the global burden of disease study 2017
- James, Spencer, Castle, Chris, Dingels, Zachary, Fox, Jack, Rahman, Muhammad Aziz
- Authors: James, Spencer , Castle, Chris , Dingels, Zachary , Fox, Jack , Rahman, Muhammad Aziz
- Date: 2020
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 26, no. 1 (2020), p. I96-I114
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- Reviewed:
- Description: Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. ***Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Rahman” is provided in this record***
- Authors: James, Spencer , Castle, Chris , Dingels, Zachary , Fox, Jack , Rahman, Muhammad Aziz
- Date: 2020
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 26, no. 1 (2020), p. I96-I114
- Full Text:
- Reviewed:
- Description: Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. ***Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Rahman” is provided in this record***