Further shrinking the malaria map: how can geospatial science help to achieve malaria elimination?

被引:59
作者
Clements, Archie C. A. [1 ]
Reid, Heidi L. [1 ]
Kelly, Gerard C. [1 ]
Hay, Simon I. [2 ,3 ]
机构
[1] Univ Queensland, Sch Populat Hlth, Infect Dis Epidemiol Unit, Herston, Qld 4006, Australia
[2] Univ Oxford, Dept Zool, Spatial Ecol & Epidemiol Grp, Oxford OX1 3PS, England
[3] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
基金
英国惠康基金; 美国国家卫生研究院; 英国医学研究理事会;
关键词
GEOGRAPHIC INFORMATION-SYSTEMS; DOMINANT ANOPHELES VECTORS; CLIMATE-CHANGE; SPATIAL-DISTRIBUTION; TRANSMISSION RISK; DECISION-SUPPORT; SOLOMON-ISLANDS; AFRICA; EPIDEMIOLOGY; POPULATIONS;
D O I
10.1016/S1473-3099(13)70140-3
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Malaria is one of the biggest contributors to deaths caused by infectious disease. More than 30 countries have planned or started programmes to target malaria elimination, often with explicit support from international donors. The spatial distribution of malaria, at all levels of endemicity, is heterogeneous. Moreover, populations living in low-endemic settings where elimination efforts might be targeted are often spatially heterogeneous. Geospatial methods, therefore, can help design, target, monitor, and assess malaria elimination programmes. Rapid advances in technology and analytical methods have allowed the spatial prediction of malaria risk and the development of spatial decision support systems, which can enhance elimination programmes by enabling accurate and timely resource allocation. However, no framework exists for assessment of geospatial instruments. Research is needed to identify measurable indicators of elimination progress and to quantify the effect of geospatial methods in achievement of elimination outcomes.
引用
收藏
页码:709 / 718
页数:10
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