Mapping hotspots of malaria transmission from pre-existing hydrology, geology and geomorphology data in the pre-elimination context of Zanzibar, United Republic of Tanzania

Particle and Fibre Toxicology

Chris Thomas⁴  Mark Smith⁵  Abdul-Wahiyd Al-Mafazy¹  Mwinyi Msellem¹  Abdullah Ali¹  Silas Majambare³  Mark G Macklin⁶  Gerry Killeen³  Stefan Dongus²  Zawadi Mageni⁷  Andrew Hardy⁶ 

[1] Zanzibar Malaria Elimination Program, Zanzibar, United Republic of Tanzania;Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland;Vector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK;Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK;School of Geography, University of Leeds, Leeds, UK;Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, UK;Environmental Health and Ecological Sciences, Ifakara Health Institute, Ifakara, United Republic of Tanzania

关键词: Geology;    Geomorphology;    Hydrology;    Larval source management;    Malaria;    Mosquito breeding habitat;   

Others  :  1147581
DOI  :  10.1186/s13071-015-0652-5

 received in 2014-06-26, accepted in 2015-01-11,  发布年份 2015

【 摘 要 】

Background

Larval source management strategies can play an important role in malaria elimination programmes, especially for tackling outdoor biting species and for eliminating parasite and vector populations when they are most vulnerable during the dry season. Effective larval source management requires tools for identifying geographic foci of vector proliferation and malaria transmission where these efforts may be concentrated. Previous studies have relied on surface topographic wetness to indicate hydrological potential for vector breeding sites, but this is unsuitable for karst (limestone) landscapes such as Zanzibar where water flow, especially in the dry season, is subterranean and not controlled by surface topography.

Methods

We examine the relationship between dry and wet season spatial patterns of diagnostic positivity rates of malaria infection amongst patients reporting to health facilities on Unguja, Zanzibar, with the physical geography of the island, including land cover, elevation, slope angle, hydrology, geology and geomorphology in order to identify transmission hot spots using Boosted Regression Trees (BRT) analysis.

Results

The distribution of both wet and dry season malaria infection rates can be predicted using freely available static data, such as elevation and geology. Specifically, high infection rates in the central and southeast regions of the island coincide with outcrops of hard dense limestone which cause locally elevated water tables and the location of dolines (shallow depressions plugged with fine-grained material promoting the persistence of shallow water bodies).

Conclusions

This analysis provides a tractable tool for the identification of malaria hotspots which incorporates subterranean hydrology, which can be used to target larval source management strategies.

【 授权许可】

   
2015 Hardy et al.; licensee BioMed Central.

【 图 表 】

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