ArticleMalaria journal2025
Subnational tailoring of malaria interventions to prioritize the malaria response in Guinea.
Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Sociodemographic and healthcare determinants of malaria infection among children under five in Burkina Faso: analysis of the 2021 Demographic and Health Survey data.Malaria journal · 2026Article
- Article
- Addressing the malaria crisis among children in Uganda: the urgent need for vaccination and strategic action.Annals of medicine and surgery (2012) · 2025Article
- When health data go dark: the importance of the DHS Program and imagining its future.BMC medicine · 2025Article
- Co-creation and application of a framework for the de-prioritization of urban communities during insecticide-treated bed net mass campaigns for malaria prevention and control in Kwara State, Nigeria.BMC global and public health · 2025Article
- Subnational tailoring of malaria interventions for strategic planning and prioritization: Experience and perspectives of five malaria programs.PLOS global public health · 2025Article
- How can modeling responsibly inform decision-making in malaria?PLoS biology · 2025Article
- Geo-epidemiological risk stratification to select malaria interventions, case of Mali.PLOS global public health · 2025Article
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11 authors.
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Abstract
backgroundIn the context of high malaria burden yet limited resources, Guinea's national malaria programme adopted an innovative subnational tailoring (SNT) approach, including engagement of stakeholders, data review, and data analytics, to update their malaria operational plan for 2024-2026 and identify the most appropriate interventions for each district considering the resources available.
methodsGuinea's malaria programme triggered the SNT exercise with a list of decisions that could be informed with local data. The programme established an SNT team, which determined intervention targeting criteria; identified, assembled, and reviewed relevant data sources; stratified malaria risk and its determinants to inform geographical targeting for each intervention; and used mathematical modelling to predict the impact of different intervention mix scenarios. The SNT analysis was performed at the district level, excluding the urban area of Conakry.
resultsMalaria incidence, malaria prevalence, and all-cause under-5 mortality were used for the epidemiological stratification of Guinea. Additional indicators relevant for decision-making including seasonality patterns, insecticide resistance, historical malaria interventions and vaccine coverage were also stratified. Stratified layers were used to inform the targeting criteria for each intervention to identify districts to prioritize for indoor residual spray, dual-action insecticide-treated nets, seasonal malaria chemoprevention (SMC), including number of cycles for each eligible district, malaria vaccine, and perennial malaria chemoprevention. Results of the SNT analysis were used to mobilize funding from the Global Fund for scale-up of dual-action nets and expansion of SMC.
conclusionsSNT allowed Guinea's national malaria programme to adapt their intervention strategy at the health district level, an unprecedented approach in the country. The use of local data to inform eligibility and prioritization allowed the programme to identify the optimal mix of interventions for each district and to successfully mobilize resources to support their plans.
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