Cargando…

Spatio-temporal epidemiology of the cholera outbreak in Papua New Guinea, 2009–2011

BACKGROUND: Cholera continues to be a devastating disease in many developing countries where inadequate safe water supply and poor sanitation facilitate spread. From July 2009 until late 2011 Papua New Guinea experienced the first outbreak of cholera recorded in the country, resulting in >15,500...

Descripción completa

Detalles Bibliográficos
Autores principales: Horwood, Paul F, Karl, Stephan, Mueller, Ivo, Jonduo, Marinjho H, Pavlin, Boris I, Dagina, Rosheila, Ropa, Berry, Bieb, Sibauk, Rosewell, Alexander, Umezaki, Masahiro, Siba, Peter M, Greenhill, Andrew R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158135/
https://www.ncbi.nlm.nih.gov/pubmed/25141942
http://dx.doi.org/10.1186/1471-2334-14-449
Descripción
Sumario:BACKGROUND: Cholera continues to be a devastating disease in many developing countries where inadequate safe water supply and poor sanitation facilitate spread. From July 2009 until late 2011 Papua New Guinea experienced the first outbreak of cholera recorded in the country, resulting in >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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2334-14-449) contains supplementary material, which is available to authorized users.