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Factors associated with cholera in Kenya, 2008-2013

INTRODUCTION: Kenya experienced widespread cholera outbreaks in 1997-1999 and 2007-2010. The re-emergence of cholera in Kenya in 2015 indicates that cholera remains a public health threat. Understanding past outbreaks is important for preventing future outbreaks. This study investigated the relation...

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Autores principales: Cowman, Gretchen, Otipo, Shikanga, Njeru, Ian, Achia, Thomas, Thirumurthy, Harsha, Bartram, Jamie, Kioko, Jackson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837167/
https://www.ncbi.nlm.nih.gov/pubmed/29515719
http://dx.doi.org/10.11604/pamj.2017.28.101.12806
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author Cowman, Gretchen
Otipo, Shikanga
Njeru, Ian
Achia, Thomas
Thirumurthy, Harsha
Bartram, Jamie
Kioko, Jackson
author_facet Cowman, Gretchen
Otipo, Shikanga
Njeru, Ian
Achia, Thomas
Thirumurthy, Harsha
Bartram, Jamie
Kioko, Jackson
author_sort Cowman, Gretchen
collection PubMed
description INTRODUCTION: Kenya experienced widespread cholera outbreaks in 1997-1999 and 2007-2010. The re-emergence of cholera in Kenya in 2015 indicates that cholera remains a public health threat. Understanding past outbreaks is important for preventing future outbreaks. This study investigated the relationship between cholera occurrence in Kenya and various environmental and demographic factors related to water, sanitation, socio-economic status, education, urbanization and availability of health facilities during the time period 2008-2013. METHODS: The primary outcome analyzed was the number of cholera cases at the district level, obtained from the Kenya Ministry of Health's national cholera surveillance records. Values of independent variables were obtained from the 2009 Kenya Population and Housing Census and other national surveys. The data were analyzed using a zero-inflated negative binomial regression model. RESULTS: Multivariate analysis indicated that the risk of cholera was associated with open defecation, use of unimproved water sources, poverty headcount ratio and the number of health facilities per 100,000 population (p < 0.05). No statistically significant association was found between cholera occurrence and education, percentage of population living in urban areas or population density. CONCLUSION: The Sustainable Development Goals and Kenya's blueprint for development, Kenya Vision 2030, call for access to sanitation facilities and clean water for all by 2030. Kenya has made important economic strides in recent years but continues to be affected by diseases like cholera that are associated with low socio-economic status. Further expansion of access to sanitation facilities and clean water is necessary for preventing cholera in Kenya.
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spelling pubmed-58371672018-03-07 Factors associated with cholera in Kenya, 2008-2013 Cowman, Gretchen Otipo, Shikanga Njeru, Ian Achia, Thomas Thirumurthy, Harsha Bartram, Jamie Kioko, Jackson Pan Afr Med J Research INTRODUCTION: Kenya experienced widespread cholera outbreaks in 1997-1999 and 2007-2010. The re-emergence of cholera in Kenya in 2015 indicates that cholera remains a public health threat. Understanding past outbreaks is important for preventing future outbreaks. This study investigated the relationship between cholera occurrence in Kenya and various environmental and demographic factors related to water, sanitation, socio-economic status, education, urbanization and availability of health facilities during the time period 2008-2013. METHODS: The primary outcome analyzed was the number of cholera cases at the district level, obtained from the Kenya Ministry of Health's national cholera surveillance records. Values of independent variables were obtained from the 2009 Kenya Population and Housing Census and other national surveys. The data were analyzed using a zero-inflated negative binomial regression model. RESULTS: Multivariate analysis indicated that the risk of cholera was associated with open defecation, use of unimproved water sources, poverty headcount ratio and the number of health facilities per 100,000 population (p < 0.05). No statistically significant association was found between cholera occurrence and education, percentage of population living in urban areas or population density. CONCLUSION: The Sustainable Development Goals and Kenya's blueprint for development, Kenya Vision 2030, call for access to sanitation facilities and clean water for all by 2030. Kenya has made important economic strides in recent years but continues to be affected by diseases like cholera that are associated with low socio-economic status. Further expansion of access to sanitation facilities and clean water is necessary for preventing cholera in Kenya. The African Field Epidemiology Network 2017-10-03 /pmc/articles/PMC5837167/ /pubmed/29515719 http://dx.doi.org/10.11604/pamj.2017.28.101.12806 Text en © Gretchen Cowman et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Cowman, Gretchen
Otipo, Shikanga
Njeru, Ian
Achia, Thomas
Thirumurthy, Harsha
Bartram, Jamie
Kioko, Jackson
Factors associated with cholera in Kenya, 2008-2013
title Factors associated with cholera in Kenya, 2008-2013
title_full Factors associated with cholera in Kenya, 2008-2013
title_fullStr Factors associated with cholera in Kenya, 2008-2013
title_full_unstemmed Factors associated with cholera in Kenya, 2008-2013
title_short Factors associated with cholera in Kenya, 2008-2013
title_sort factors associated with cholera in kenya, 2008-2013
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837167/
https://www.ncbi.nlm.nih.gov/pubmed/29515719
http://dx.doi.org/10.11604/pamj.2017.28.101.12806
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