The independent effect of living in malaria hotspots on future malaria infection: an observational study from Misungwi, Tanzania

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• 作者：Jacklin F Mosha (4)
  Hugh JW Sturrock (5)
  Joelle M Brown (5) (6)
  Ramadhani Hashim (7)
  Gibson Kibiki (8)
  Daniel Chandramohan (9)
  Roland D Gosling (5)
  
  4. National Institute for Medical Research (NIMR) ; Mwanza Medical Research Centre ; Mwanza ; Tanzania
  5. The Global Health Group ; University of California ; San Francisco ; CA ; USA
  6. Department of Epidemiology and Biostatistics ; University of California San Francisco ; San Francisco ; CA ; USA
  7. Mwanza Intervention Trials Unit ; Mwanza ; Tanzania
  8. Kilimanjaro Clinical Research Institute and Kilimanjaro Christian Medical College ; Kilimanjaro ; Moshi ; Tanzania
  9. Faculty of Infectious and Tropical Diseases ; London School of Hygiene and Tropical Medicine ; London ; UK
  
• 关键词：Malaria ; Transmission ; Hotspots ; Risk factor ; Serology ; PCR ; Africa ; Plasmodium falciparum
• 刊名：Malaria Journal
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：13
• 期：1
• 全文大小：275 KB
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• 刊物主题：Parasitology; Infectious Diseases; Tropical Medicine;
• 出版者：BioMed Central
• ISSN：1475-2875

文摘

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.