Title |
Hot spot or not: a comparison of spatial statistical methods to predict prospective malaria infections
|
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Published in |
Malaria Journal, February 2014
|
DOI | 10.1186/1475-2875-13-53 |
Pubmed ID | |
Authors |
Jacklin F Mosha, Hugh JW Sturrock, Brian Greenwood, Colin J Sutherland, Nahla B Gadalla, Sharan Atwal, Simon Hemelaar, Joelle M Brown, Chris Drakeley, Gibson Kibiki, Teun Bousema, Daniel Chandramohan, Roland D Gosling |
Abstract |
Within affected communities, Plasmodium falciparum infections may be skewed in distribution such that single or small clusters of households consistently harbour a disproportionate number of infected individuals throughout the year. Identifying these hotspots of malaria transmission would permit targeting of interventions and a more rapid reduction in malaria burden across the whole community. This study set out to compare different statistical methods of hotspot detection (SaTScan, kernel smoothing, weighted local prevalence) using different indicators (PCR positivity, AMA-1 and MSP-1 antibodies) for prediction of infection the following year. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 50% |
United Kingdom | 1 | 17% |
Colombia | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 2% |
Tanzania, United Republic of | 2 | 1% |
Brazil | 2 | 1% |
United States | 2 | 1% |
Thailand | 1 | <1% |
Chile | 1 | <1% |
Unknown | 173 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 40 | 22% |
Student > Ph. D. Student | 32 | 17% |
Researcher | 29 | 16% |
Student > Doctoral Student | 15 | 8% |
Student > Bachelor | 10 | 5% |
Other | 30 | 16% |
Unknown | 29 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 45 | 24% |
Agricultural and Biological Sciences | 33 | 18% |
Social Sciences | 13 | 7% |
Computer Science | 12 | 6% |
Biochemistry, Genetics and Molecular Biology | 7 | 4% |
Other | 37 | 20% |
Unknown | 38 | 21% |