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Spatial Analysis of Malaria Incidence at the Village Level in Areas with Unstable Transmission in Ethiopia

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dc.contributor.author Yeshiwondim, Asnakew K en_US
dc.contributor.author Gopal, Sucharita en_US
dc.contributor.author Hailemariam, Afework T en_US
dc.contributor.author Dengela, Dereje O en_US
dc.contributor.author Patel, Hrishikesh P en_US
dc.date.accessioned 2012-01-12T16:42:53Z
dc.date.available 2012-01-12T16:42:53Z
dc.date.copyright 2009 en_US
dc.date.issued 2009-1-26 en_US
dc.identifier.citation Yeshiwondim, Asnakew K, Sucharita Gopal, Afework T Hailemariam, Dereje O Dengela, Hrishikesh P Patel. "Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia" International Journal of Health Geographics 8:5. (2009) en_US
dc.identifier.issn 1476-072X en_US
dc.identifier.uri http://hdl.handle.net/2144/3365
dc.description.abstract BACKGROUND. Malaria is the leading cause of morbidity and mortality in Ethiopia, accounting for over five million cases and thousands of deaths annually. The risks of morbidity and mortality associated with malaria are characterized by spatial and temporal variation across the country. This study examines the spatial and temporal patterns of malaria transmission at the local level and implements a risk mapping tool to aid in monitoring and disease control activities. METHODS. In this study, we examine the global and local patterns of malaria distribution in 543 villages in East Shoa, central Ethiopia using individual-level morbidity data collected from six laboratory and treatment centers between September 2002 and August 2006. RESULTS. Statistical analysis of malaria incidence by sex, age, and village through time reveal the presence of significant spatio-temporal variations. Poisson regression analysis shows a decrease in malaria incidence with increasing age. A significant difference in the malaria incidence density ratio (IDRs) is detected in males but not in females. A significant decrease in the malaria IDRs with increasing age is captured by a quadratic model. Local spatial statistics reveals clustering or hot spots within a 5 and 10 km distance of most villages in the study area. In addition, there are temporal variations in malaria incidence. CONCLUSION. Malaria incidence varies according to gender and age, with males age 5 and above showing a statistically higher incidence. Significant local clustering of malaria incidence occurs between pairs of villages within 1–10 km distance lags. Malaria incidence was higher in 2002–2003 than in other periods of observation. Malaria hot spots are displayed as risk maps that are useful for monitoring and spatial targeting of prevention and control measures against the disease. en_US
dc.description.sponsorship World Health Organization (RBM/WHO) en_US
dc.language.iso en en_US
dc.publisher BioMed Central en_US
dc.rights Copyright 2009 Yeshiwondim et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en_US
dc.rights.uri http://creativecommons.org/licenses/by/2.0 en_US
dc.title Spatial Analysis of Malaria Incidence at the Village Level in Areas with Unstable Transmission in Ethiopia en_US
dc.type article en_US
dc.identifier.doi 10.1186/1476-072X-8-5 en_US
dc.identifier.pubmedid 19171051 en_US
dc.identifier.pmcid 2646707 en_US


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Copyright 2009 Yeshiwondim et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Except where otherwise noted, this item's license is described as Copyright 2009 Yeshiwondim et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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