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Targeting hotspots to reduce transmission of malaria in Senegal: modeling of the effects of human mobility

Abstract : Background: In central Senegal malaria incidences have declined in recent years in response to scaling-up of control measures, but now remains stable, making elimination improbable. Additional control measures are needed to reduce transmission. Methods: By using a meta-population mathematical model, we evaluated chemotherapy interventions targeting stable malaria hotspots, using a differential equation framework and incorporating human mobility, and fitted to weekly malaria incidences from 45 villages, over 5 years. Three simulated approaches for selecting intervention targets were compared: a) villages with at least one malaria case during the low transmission season of the previous year; b) villages ranked highest in terms of incidence during the high transmission season of the previous year; c) villages ranked based on the degree of connectivity with adjacent populations. Results: Our mathematical modeling, taking into account human mobility, showed that the intervention strategies targeting hotspots should be effective in reducing malaria incidence in both treated and untreated areas. Conclusions: Mathematical simulations showed that targeted interventions allow increasing malaria elimination potential.
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https://hal.archives-ouvertes.fr/hal-01876568
Contributor : Jean Gaudart <>
Submitted on : Tuesday, September 18, 2018 - 3:22:38 PM
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Kankoé Sallah, Roch Giorgi, El Ba, Martine Piarroux, Renaud Piarroux, et al.. Targeting hotspots to reduce transmission of malaria in Senegal: modeling of the effects of human mobility. 2018. ⟨hal-01876568⟩

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