Evidence map›Paper›PMID 42808006›Full record

ArticleMalariaWorld journal2026

Burden stratification and spatial analysis for malaria chemoprevention in Malawi.

Chisomo Mkwandah, Alinafe Maenje, Steven Munharo, Michael Msukuma, Donnie Mategula

Abstract read
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Article in MalariaWorld journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chisomo MkwandahInfectious Diseases and Epidemiology Research Group, Malawi Liverpool Wellcome Programme, Queen Elizabeth Central Hospital Campus, Chipatala Avenue, P.O. Box 30096, Chichiri, Blantyre 3, Malawi.
Alinafe MaenjeInfectious Diseases and Epidemiology Research Group, Malawi Liverpool Wellcome Programme, Queen Elizabeth Central Hospital Campus, Chipatala Avenue, P.O. Box 30096, Chichiri, Blantyre 3, Malawi.
Steven MunharoInfectious Diseases and Epidemiology Research Group, Malawi Liverpool Wellcome Programme, Queen Elizabeth Central Hospital Campus, Chipatala Avenue, P.O. Box 30096, Chichiri, Blantyre 3, Malawi.
Michael MsukumaDepartment of Agricultural and Applied Economics, Lilongwe University of Agriculture and Natural Resources, Bunda College Campus, P.O. Box 219, Lilongwe, Malawi.
Donnie MategulaInfectious Diseases and Epidemiology Research Group, Malawi Liverpool Wellcome Programme, Queen Elizabeth Central Hospital Campus, Chipatala Avenue, P.O. Box 30096, Chichiri, Blantyre 3, Malawi.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Malaria remains a leading cause of morbidity and mortality in Malawi, particularly among children under five years of age, with substantial geographic variation in transmission. Although malaria chemoprevention is effective, evidence on how malaria burden, climatic conditions, population exposure, and spatial dependence can inform its geographic prioritisation in Malawi remains limited. This study aimed to develop composite measures of malaria burden, climatic suitability, and population exposure, assess climatic influences and spatial dependence on malaria transmission and identify geographic priority areas for malaria chemoprevention. Methods: District-month malaria surveillance, climate, and population data from 2021-2023 were analysed. Composite indices and spatial mapping assessed malaria burden, climatic suitability, and population exposure. Fixed-effects and spatial panel models assessed climatic influences and spatial dependence. These indicators were integrated into a composite priority score to identify geographic priorities for chemoprevention. Results: Nkhata Bay, Nkhotakota, Salima, and Neno were classified as very high-burden districts, while Mwanza was classified as high burden. Rainfall was positively associated with malaria incidence, whereas rainfall anomalies were negatively associated with transmission (both p < 0.001). Significant spatial dependence (ρ = 0.34-0.49; p < 0.001) indicated geographic interdependence in malaria outcomes. Integrated analysis identified priority areas, particularly in central and southern Malawi, where epidemiological, climatic, population, and spatial risks converged. Conclusions: Integrating malaria burden, climatic suitability, population exposure, and spatial dependence can support evidence-based geographic prioritisation of malaria chemoprevention and targeted malaria control planning in Malawi.

Identifiers

PMID42808006
PMCPMC13618399

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.