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Stratification at the health district level for targeting malaria control interventions in Mali

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Cissoko, Mady | Magassa, Mahamadou | Sanogo, Vincent | Ouologuem, Abdoulaye | Sangaré, Lansana | Diarra, Modibo | Bationo, Cedric, Stephane | Dolo, Mathias | Bah, Mamadou, Djoulde | Doumbia, Sidy | Coulibaly, Mamadou, B | Traoré, Diahara | Sidibé, Boubacar | Landier, Jordi | Cissé, Idrissa | Sacko, Moussa | Gaudart, Jean | Sagara, Issaka

Edité par CCSD ; Nature Publishing Group -

International audience. Malaria is the leading cause of morbidity and mortality in Mali. Between 2017 and 2020, the number of cases increased in the country, with 2,884,827 confirmed cases and 1454 reported deaths in 2020. We performed a malaria risk stratification at the health district level in Mali with a view to proposing targeted control interventions. Data on confirmed malaria cases were obtained from the District Health Information Software 2, data on malaria prevalence and mortality in children aged 6-59 months from the 2018 Demographic and Health Survey, entomological data from Malian research institutions working on malaria in the sentinel sites of the National Malaria Control Program (NMCP), and environmental data from the National Aeronautics and Space Administration. A stratification of malaria risk was performed. Targeted malaria control interventions were selected based on spatial heterogeneity of malaria incidence, malaria prevalence in children, vector resistance distribution, health facility usage, child mortality, and seasonality of transmission. These interventions were discussed with the NMCP and the different funding partners. In 2017-2019, median incidence across the 75 health districts was 129.34 cases per 1000 person-years (standard deviation = 86.48). Risk stratification identified 12 health districts in very low transmission areas, 19 in low transmission areas, 20 in moderate transmission areas, and 24 in high transmission areas. Low health facility usage and increased vector resistance were observed in high transmission areas. Eight intervention combinations were selected for implementation. Our work provides an updated risk stratification using advanced statistical methods to inform the targeting of malaria control interventions in Mali. This stratification can serve as a template for continuous malaria risk stratifications in Mali and other countries.

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