Background: As malaria transmission declines, continued improvements of prevention and control interventions will increasingly rely on accurate knowledge of risk factors and an ability to define high-risk areas and populations at risk for focal targeting of interventions. This paper explores the independent association between living in a hotspot and prospective risk of malaria infection. Methods: Malaria infection status defined by nPCR and AMA-1 status in year 1 were used to define geographic hotspots using two geospatial statistical methods (SaTScan and Kernel density smoothing). Other malaria risk factors for malaria infection were explored by fitting a multivariable model. Results: This study demonstrated that residing in infection hotspot of malaria transmission is an independent predictor of malaria infection in the future. Conclusion: It is likely that targeting such hotspots with better coverage and improved malaria control strategies will result in more cost-efficient uses of resources to move towards malaria elimination.
CITATION STYLE
Mosha, J. F., Sturrock, H. J. W., Brown, J. M., Hashim, R., Kibiki, G., Chandramohan, D., & Gosling, R. D. (2014). The independent effect of living in malaria hotspots on future malaria infection: An observational study from Misungwi, Tanzania. Malaria Journal, 13(1). https://doi.org/10.1186/1475-2875-13-445
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