http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14155 Wed 07 Apr 2021 14:02:14 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12969 Wed 07 Apr 2021 14:01:10 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12928 15,500 cases and > 500 deaths. Methods: Using the national cholera database, we analysed the spatio-temporal distribution and clustering of the Papua New Guinea cholera outbreak. The Kulldorff space-time permutation scan statistic, contained in the software package SatScan v9.2 was used to describe the first 8 weeks of the outbreak in Morobe Province before cholera cases spread throughout other regions of the country. Data were aggregated at the provincial level to describe the spread of the disease to other affected provinces. Results: Spatio-temporal and cluster analyses revealed that the outbreak was characterized by three distinct phases punctuated by explosive propagation of cases when the outbreak spread to a new region. The lack of road networks across most of Papua New Guinea is likely to have had a major influence on the slow spread of the disease during this outbreak. Conclusions: Identification of high risk areas and the likely mode of spread can guide government health authorities to formulate public health strategies to mitigate the spread of the disease through education campaigns, vaccination, increased surveillance in targeted areas and interventions to improve water, sanitation and hygiene.]]> Wed 07 Apr 2021 14:01:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12734 5 years) admitted to the paediatric ward of Goroka General Hospital from August 2009 through November 2010. A large range of viral and bacterial enteric pathogens were targeted using real-time PCR/RT-PCR assays. Results: Young children were much more likely to be admitted with acute gastroenteritis, with 62.8% of patients aged >1 year and 88.4% aged >2 years. An enteric pathogen was detected in 69.8% (n= 138) of patients. The most commonly detected pathogens were Shigella spp (26.6%), rotavirus (25.6%), adenovirus types 40/41 (11.6%), enterotoxigenic Escherichia coli (11.1%), enteropathogenic E. coli (8.5%), norovirus G2 (6.0%), and Campylobacter spp (4.0%). Norovirus G1, sapovirus, and Salmonella spp were also detected, but below our statistical limit of detection. Vibrio cholerae and astrovirus were not detected in any patients. Mixed infections were detected in 22.1% of patients, with Shigella and rotavirus most commonly detected in co-infections with other pathogens. Conclusions: This study demonstrates that Shigella and rotavirus are the major pathogens associated with acute paediatric gastroenteritis in this setting. © 2014 The Authors.]]> Wed 07 Apr 2021 14:00:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12727 Wed 07 Apr 2021 14:00:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12620 Wed 07 Apr 2021 14:00:51 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12582 Wed 07 Apr 2021 14:00:49 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12556 Wed 07 Apr 2021 14:00:48 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10824 Wed 07 Apr 2021 13:56:11 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:6527 Wed 07 Apr 2021 13:46:06 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14840 Thu 19 May 2022 12:11:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12929 Thu 03 Feb 2022 12:53:21 AEDT ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14846 Mon 30 Nov 2020 09:03:42 AEDT ]]>