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Malaria Infection Has Spatial, Temporal, and Spatiotemporal Heterogeneity in Unstable Malaria Transmission Areas in Northwest Ethiopia

Overview
Journal PLoS One
Date 2013 Nov 14
PMID 24223209
Citations 36
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Abstract

Background: Malaria elimination requires successful nationwide control efforts. Detecting the spatiotemporal distribution and mapping high-risk areas are useful to effectively target pockets of malaria endemic regions for interventions.

Objective: The aim of the study was to identify patterns of malaria distribution by space and time in unstable malaria transmission areas in northwest Ethiopia.

Methods: Data were retrieved from the monthly reports stored in the district malaria offices for the period between 2003 and 2012. Eighteen districts in the highland and fringe malaria areas were included and geo-coded for the purpose of this study. The spatial data were created in ArcGIS10 for each district. The Poisson model was used by applying Kulldorff methods using the SaTScan™ software to analyze the purely temporal, spatial and space-time clusters of malaria at a district levels.

Results: The study revealed that malaria case distribution has spatial, temporal, and spatiotemporal heterogeneity in unstable transmission areas. Most likely spatial malaria clusters were detected at Dera, Fogera, Farta, Libokemkem and Misrak Este districts (LLR =197764.1, p<0.001). Significant spatiotemporal malaria clusters were detected at Dera, Fogera, Farta, Libokemkem and Misrak Este districts (LLR=197764.1, p<0.001) between 2003/1/1 and 2012/12/31. A temporal scan statistics identified two high risk periods from 2009/1/1 to 2010/12/31 (LLR=72490.5, p<0.001) and from 2003/1/1 to 2005/12/31 (LLR=26988.7, p<0.001).

Conclusion: In unstable malaria transmission areas, detecting and considering the spatiotemporal heterogeneity would be useful to strengthen malaria control efforts and ultimately achieve elimination.

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References
1.
Mboera L, Senkoro K, Mayala B, Rumisha S, Rwegoshora R, Mlozi M . Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania. Geospat Health. 2010; 4(2):167-78. DOI: 10.4081/gh.2010.198. View

2.
Haque U, Huda M, Hossain A, Ahmed S, Moniruzzaman M, Haque R . Spatial malaria epidemiology in Bangladeshi highlands. Malar J. 2009; 8:185. PMC: 2732922. DOI: 10.1186/1475-2875-8-185. View

3.
Abeku T, van Oortmarssen G, Borsboom G, de Vlas S, Habbema J . Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications. Acta Trop. 2003; 87(3):331-40. DOI: 10.1016/s0001-706x(03)00123-2. View

4.
Wen L, Li C, Lin M, Yuan Z, Huo D, Li S . Spatio-temporal analysis of malaria incidence at the village level in a malaria-endemic area in Hainan, China. Malar J. 2011; 10:88. PMC: 3094226. DOI: 10.1186/1475-2875-10-88. View

5.
Robertson C, Nelson T . Review of software for space-time disease surveillance. Int J Health Geogr. 2010; 9:16. PMC: 2848213. DOI: 10.1186/1476-072X-9-16. View