Evidence map›Paper›PMID 42363085›Full record

ArticleBMC infectious diseases2026

Modeling the impact of war, interventions, and funding on malaria transmission dynamics in Sudan.

Mohamed Salah Alhaj, Farai Nyabadza

Abstract read
In one paragraph

Article in BMC infectious diseases, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mohamed Salah AlhajDepartment of Mathematics and Applied Mathematics, University of Johannesburg, Auckland Park, Johannesburg, 2006, South Africa.
Farai NyabadzaDepartment of Mathematics and Applied Mathematics, University of Johannesburg, Auckland Park, Johannesburg, 2006, South Africa. fnyabadza@uj.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria poses a significant public health risk worldwide, and the infection results from the bite of an infected female Anopheles mosquito. Many malaria-endemic regions face instability, often driven by wars, heightening the risk of infectious disease transmission. Malaria funding and targeted prevention are essential for reducing and eventually eradicating transmission. This article focuses on developing a compartmental mathematical model to study malaria infection dynamics, incorporating the effects of malaria prevention, funding, and war on health systems. We evaluate the model's basic reproduction number [Formula: see text] and identify equilibrium points. Our model analysis provides a forward bifurcation, indicating that malaria can be controlled if [Formula: see text], and we show cases of backward bifurcation when the threshold [Formula: see text]. We fit our model to the collected data and perform a sensitivity analysis of [Formula: see text] and numerical simulations. Our results demonstrate that increased funding and effective prevention reduce malaria transmission, whereas war leads to higher transmission rates. We also offer strategies to minimize malaria spread during armed conflict.

Indexed as

MalariaWarfareAnimalsAnophelesArmed ConflictsBasic Reproduction NumberFemaleHumansModels, TheoreticalSudanArmed conflictBifurcation analysisMalaria preventionMathematical modelNumerical simulationStability analysis

Identifiers

PMID42363085
PMCPMC13579757

What OpenQuestion holds

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Registered trials

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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.