Title |
Further shrinking the malaria map: how can geospatial science help to achieve malaria elimination?
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Published in |
Lancet Infectious Diseases, August 2013
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DOI | 10.1016/s1473-3099(13)70140-3 |
Pubmed ID | |
Authors |
Archie CA Clements, Heidi L Reid, Gerard C Kelly, Simon I Hay |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 20% |
United Kingdom | 2 | 13% |
Australia | 1 | 7% |
Switzerland | 1 | 7% |
Singapore | 1 | 7% |
Unknown | 7 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 73% |
Scientists | 2 | 13% |
Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | <1% |
United States | 2 | <1% |
United Kingdom | 2 | <1% |
Hong Kong | 1 | <1% |
Australia | 1 | <1% |
Indonesia | 1 | <1% |
Netherlands | 1 | <1% |
Argentina | 1 | <1% |
Canada | 1 | <1% |
Other | 0 | 0% |
Unknown | 193 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 50 | 24% |
Researcher | 29 | 14% |
Student > Ph. D. Student | 29 | 14% |
Student > Bachelor | 14 | 7% |
Student > Doctoral Student | 11 | 5% |
Other | 40 | 20% |
Unknown | 32 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 20% |
Agricultural and Biological Sciences | 36 | 18% |
Computer Science | 17 | 8% |
Environmental Science | 14 | 7% |
Earth and Planetary Sciences | 9 | 4% |
Other | 44 | 21% |
Unknown | 44 | 21% |