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

Author:

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

Abstract

AbstractMalaria 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.

Funder

Institut de Recherche pour le Développement

Prospective et Coopération

World Health Organization

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference57 articles.

1. MNCP Mali. Plan Stratégique National de lutte contre le paludisme du Mali 2018–2022 (2018).

2. CPS/SSDSPF, Institut National de la Statistique (INSTAT), Centre d’Études et d’Information Statistiques (INFO-STAT) & Bamako, Mali. Demographic and Health Survey (DHS) in Mali, 2018 (2019).

3. Tandina, F. et al. Mosquitoes (Diptera: Culicidae) and mosquito-borne diseases in Mali, West Africa. Parasit Vectors 11, 467 (2018).

4. Niangaly, A. et al. Plasmodium vivax infections over 3 years in Duffy blood group negative Malians in Bandiagara, Mali. Am. J. Trop. Med. Hyg. 97, 744–752 (2017).

5. Bernabeu, M. et al. Plasmodium vivax malaria in Mali: A study from three different regions. Malar. J. 11, 405 (2012).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3