@article{fdi:010085150, title = {{S}tratification at the health district level for targeting malaria control interventions in {M}ali}, author = {{C}issoko, {M}. and {M}agassa, {M}. and {S}anogo, {V}. and {O}uologuem, {A}. and {S}angare, {L}. and {D}iarra, {M}. and {B}ationo, {C}. {S}. and {D}olo, {M}. and {B}ah, {M}. {D}. and {D}oumbia, {S}. and {C}oulibaly, {M}. {B}. and {T}raore, {D}. and {S}idibe, {B}. and {L}andier, {J}ordi and {C}isse, {I}. and {S}acko, {M}. and {G}audart, {J}. and {S}agara, {I}.}, editor = {}, language = {{ENG}}, abstract = {{M}alaria is the leading cause of morbidity and mortality in {M}ali. {B}etween 2017 and 2020, the number of cases increased in the country, with 2,884,827 confirmed cases and 1454 reported deaths in 2020. {W}e performed a malaria risk stratification at the health district level in {M}ali with a view to proposing targeted control interventions. {D}ata on confirmed malaria cases were obtained from the {D}istrict {H}ealth {I}nformation {S}oftware 2, data on malaria prevalence and mortality in children aged 6-59 months from the 2018 {D}emographic and {H}ealth {S}urvey, entomological data from {M}alian research institutions working on malaria in the sentinel sites of the {N}ational {M}alaria {C}ontrol {P}rogram ({NMCP}), and environmental data from the {N}ational {A}eronautics and {S}pace {A}dministration. {A} stratification of malaria risk was performed. {T}argeted 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. {T}hese interventions were discussed with the {NMCP} and the different funding partners. {I}n 2017-2019, median incidence across the 75 health districts was 129.34 cases per 1000 person-years (standard deviation = 86.48). {R}isk 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. {L}ow health facility usage and increased vector resistance were observed in high transmission areas. {E}ight intervention combinations were selected for implementation. {O}ur work provides an updated risk stratification using advanced statistical methods to inform the targeting of malaria control interventions in {M}ali. {T}his stratification can serve as a template for continuous malaria risk stratifications in {M}ali and other countries.}, keywords = {{MALI} ; {ZONE} {TROPICALE} ; {ZONE} {SAHELIENNE}}, booktitle = {}, journal = {{S}cientific {R}eports - {N}ature}, volume = {12}, numero = {1}, pages = {8271 [17 p.]}, ISSN = {2045-2322}, year = {2022}, DOI = {10.1038/s41598-022-11974-3}, URL = {https://www.documentation.ird.fr/hor/fdi:010085150}, }