Stratification at the health district level for targeting malaria control interventions in Mali
Abstract 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...
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Nature Portfolio
2022-05-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-11974-3 |
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author | Mady Cissoko Mahamadou Magassa Vincent Sanogo Abdoulaye Ouologuem Lansana Sangaré Modibo Diarra Cedric Stephane Bationo Mathias Dolo Mamadou Djoulde Bah Sidy Doumbia Mamadou B. Coulibaly Diahara Traoré Boubacar Sidibé Jordi landier Idrissa Cissé Moussa Sacko Jean Gaudart Issaka Sagara |
author_facet | Mady Cissoko Mahamadou Magassa Vincent Sanogo Abdoulaye Ouologuem Lansana Sangaré Modibo Diarra Cedric Stephane Bationo Mathias Dolo Mamadou Djoulde Bah Sidy Doumbia Mamadou B. Coulibaly Diahara Traoré Boubacar Sidibé Jordi landier Idrissa Cissé Moussa Sacko Jean Gaudart Issaka Sagara |
author_sort | Mady Cissoko |
collection | DOAJ |
description | Abstract 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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institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-13T18:54:34Z |
publishDate | 2022-05-01 |
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spelling | doaj.art-6777082be2d94197ab4ffb990e895af42022-12-22T02:34:18ZengNature PortfolioScientific Reports2045-23222022-05-0112111710.1038/s41598-022-11974-3Stratification at the health district level for targeting malaria control interventions in MaliMady Cissoko0Mahamadou Magassa1Vincent Sanogo2Abdoulaye Ouologuem3Lansana Sangaré4Modibo Diarra5Cedric Stephane Bationo6Mathias Dolo7Mamadou Djoulde Bah8Sidy Doumbia9Mamadou B. Coulibaly10Diahara Traoré11Boubacar Sidibé12Jordi landier13Idrissa Cissé14Moussa Sacko15Jean Gaudart16Issaka Sagara17Malaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de BamakoProgramme National de Lutte Contre le Paludisme (PNLP)Programme National de Lutte Contre le Paludisme (PNLP)Institut National de Santé Publique (INSP)Laboratoire de Biologie Moléculaire Appliquée (LBMA)Malaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de BamakoIRD, INSERM, Aix Marseille Univ, ISSPAM, SESSTIM, UMR1252, Faculty of MedicineMalaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de BamakoPresident’s Malaria Initiative (PMI) VectorLink Project City NigerMalaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de BamakoMalaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de BamakoProgramme National de Lutte Contre le Paludisme (PNLP)Organisation Mondiale de la Santé au MaliIRD, INSERM, Aix Marseille Univ, ISSPAM, SESSTIM, UMR1252, Faculty of MedicineProgramme National de Lutte Contre le Paludisme (PNLP)Institut National de Santé Publique (INSP)Aix Marseille Univ, APHM, INSERM, IRD, SESSTIM, ISSPAM, UMR1252, Hop Timone, BioSTIC, Biostatistic & ICT, Faculty of MedicineMalaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de BamakoAbstract 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.https://doi.org/10.1038/s41598-022-11974-3 |
spellingShingle | Mady Cissoko Mahamadou Magassa Vincent Sanogo Abdoulaye Ouologuem Lansana Sangaré Modibo Diarra Cedric Stephane Bationo Mathias Dolo Mamadou Djoulde Bah Sidy Doumbia Mamadou B. Coulibaly Diahara Traoré Boubacar Sidibé Jordi landier Idrissa Cissé Moussa Sacko Jean Gaudart Issaka Sagara Stratification at the health district level for targeting malaria control interventions in Mali Scientific Reports |
title | Stratification at the health district level for targeting malaria control interventions in Mali |
title_full | Stratification at the health district level for targeting malaria control interventions in Mali |
title_fullStr | Stratification at the health district level for targeting malaria control interventions in Mali |
title_full_unstemmed | Stratification at the health district level for targeting malaria control interventions in Mali |
title_short | Stratification at the health district level for targeting malaria control interventions in Mali |
title_sort | stratification at the health district level for targeting malaria control interventions in mali |
url | https://doi.org/10.1038/s41598-022-11974-3 |
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