Evidence map›Paper›PMID 41593591›Full record

ArticleBMC public health2026

Comparing three approaches to modelling the effects of temperature and rainfall on malaria incidence in different climatic regions.

Gladstone T Madito, Basil D Brooke, Sheetal P Silal

Abstract readComparative Study
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Gladstone T MaditoDepartment of Statistical Sciences, University of Cape Town, Modelling and Simulation Hub, Africa (MASHA), University of Cape Town, Cape Town, South Africa. mdtgla001@myuct.ac.za.
Basil D BrookeDivision of the National Health Laboratory Service, Centre for Emerging Zoonotic & Parasitic Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa.
Sheetal P SilalDepartment of Statistical Sciences, University of Cape Town, Modelling and Simulation Hub, Africa (MASHA), University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria transmission is primarily limited to tropical regions where environmental conditions are conducive for the survival of Plasmodium parasites and Anopheles mosquitoes. Adequate rainfall provides breeding sites, while suitable temperatures facilitate vector mosquito life-cycles and parasite development. Evaluating the efficacy of vector control interventions is crucial to determine their effectiveness in reducing malaria transmission. The aim of this study was to explore how these factors affect transmission dynamics at varying levels of vector control efficacy.

methodsWe developed a vector-host compartmental mathematical model to compare three published approaches to incorporating weather influences on malaria transmission. The first approach examines mosquito biting behaviour and mortality rates in larval and adult stages. The second focuses on temper- ature effects on mosquito life-cycle characteristics throughout the aquatic and adult stages. The third considers how temperature and rainfall influence adult mosquito behaviour, environmental carrying capacity, and survival during the aquatic stages. Model simulations were conducted at different annual vector con- trol coverage levels, to identify variations in transmission patterns and seasonal variability in daily and annual incidence across three climate regions.

resultsThe first approach indicates sustained seasonal transmission, with lower cases per 1,000 in tropical regions compared to semi-arid and sub-tropical regions, even with enhanced vector control reducing cases. The second approach projects extended seasonal peaks in malaria transmission in tropical and semi- arid regions, driven by prolonged warm periods, while sub-tropical regions show lower incidence due to cooler temperatures limiting mosquito survival. In con- trast, the third approach projects multiple irregular peaks, with transmission ceasing in winter across all regions.

conclusionsSimulations indicate that climatic events like heatwaves or flood- ing, can trigger mosquito population surges and malaria outbreaks, even in areas previously free of malaria, despite strong vector control efforts. However, the results demonstrate that sustained and effective vector control, particularly in regions with moderate temperatures, can substantially reduce malaria inci- dence. Effective malaria control requires incorporating weather predictions into intervention plans, and enhancing current vector control strategies with supple- mentary measures like larval source management. Accurate timing and targeting of these interventions, based on transmission season projections, are crucial for maintaining robust control as weather conditions evolve and to prepare for future challenges.

Indexed as

ClimateMalariaModels, TheoreticalRainTemperatureAnimalsAnophelesHumansIncidenceMosquito ControlMosquito VectorsSeasonsAnophelesMathematical mod- ellingPlasmodiumRainfallTemperatureVector control

Identifiers

PMID41593591
PMCPMC12918482

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.