http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14277 Wed 07 Apr 2021 14:02:22 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:12915 Wed 07 Apr 2021 14:01:07 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12559 Wed 07 Apr 2021 14:00:48 AEST ]]>