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Spatio-temporal analysis of malaria within a transmission season in Bandiagara, Mali

Overview of attention for article published in Malaria Journal, March 2013
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Title
Spatio-temporal analysis of malaria within a transmission season in Bandiagara, Mali
Published in
Malaria Journal, March 2013
DOI 10.1186/1475-2875-12-82
Pubmed ID
Authors

Drissa Coulibaly, Stanislas Rebaudet, Mark Travassos, Youssouf Tolo, Matthew Laurens, Abdoulaye K Kone, Karim Traore, Ando Guindo, Issa Diarra, Amadou Niangaly, Modibo Daou, Ahmadou Dembele, Mody Sissoko, Bourema Kouriba, Nadine Dessay, Jean Gaudart, Renaud Piarroux, Mahamadou A Thera, Christopher V Plowe, Ogobara K Doumbo

Abstract

Heterogeneous patterns of malaria transmission are thought to be driven by factors including host genetics, distance to mosquito breeding sites, housing construction, and socio-behavioural characteristics. Evaluation of local transmission epidemiology to characterize malaria risk is essential for planning malaria control and elimination programmes. The use of geographical information systems (GIS) techniques has been a major asset to this approach. To assess time and space distribution of malaria disease in Bandiagara, Mali, within a transmission season, data were used from an ongoing malaria incidence study that enrolled 300 participants aged under six years old".

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Mali 1 <1%
Senegal 1 <1%
Indonesia 1 <1%
Brazil 1 <1%
Cambodia 1 <1%
Congo, The Democratic Republic of the 1 <1%
Unknown 144 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 19%
Student > Ph. D. Student 26 17%
Student > Master 22 14%
Student > Doctoral Student 12 8%
Student > Postgraduate 7 5%
Other 25 16%
Unknown 34 22%
Readers by discipline Count As %
Medicine and Dentistry 39 25%
Agricultural and Biological Sciences 20 13%
Social Sciences 10 6%
Nursing and Health Professions 9 6%
Environmental Science 9 6%
Other 27 17%
Unknown 41 26%