Evidence map›Paper›PMID 41073409›Full record

ArticleScientific reports2025

Changing climate and its impacts on the dynamics of future malaria transmission over certain endemic regions in India.

Prasanta Kumar Bal, Divya Subash Kumar, Ruchi Singh Parihar, Atul Saini

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Prasanta Kumar BalQatar Meteorology Department, Civil Aviation Authority, Doha, Qatar. prasantbal.cc@gmail.com.
Divya Subash KumarCentre for Climate Change and Disaster Management, Anna University, Chennai, India.
Ruchi Singh PariharDepartment of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India.
Atul SainiDepartment of Geography, Hemavati Nandan Bahuguna Garhwal University, Pauri Garhwal, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As climate change plays a major role in evaluating the malaria disease over India, it is highly relevant to assess the spatio-temporal variability of malaria transmission dynamics over different climatic zones in India using modelling studies. In this study, VECTRI (vector-borne disease community model of the International Centre for Theoretical Physics, Trieste) model is simulated to predict the future malaria transmission dynamics over four major climatological zones of India, forced with the different climatic parameters such as temperature and rainfall and non-climatic parameter such as population density. The climate data is obtained from multi model mean of different CMIP6 global climate models under the SSP5-8.5 scenario. Results indicate that there is an overall decrease in EIR (Entomological Inoculation Rate) values of 10 to 30% are seen over most of the Indian regions with an increase in temperature about 4 to 5 °C and rainfall about 10 to 40%, by end of the century (2080s) when compared with the baseline period (1985-2014). However, few exceptions are seen over few parts of western and peninsular region where increase in EIR values are seen. This decrease (increase) in EIR values which describes the intensity of malaria transmission is predominantly controlled by temperature and rainfall during summer (winter) monsoon seasons. Such results from the VECTRI model may be useful for policymakers towards various malaria disease control programs in India and this may provide a basis for climate change impact assessments on malaria risk at a regional scale.

Indexed as

Climate ChangeMalariaAnimalsEndemic DiseasesHumansIndiaModels, TheoreticalRainSeasonsTemperatureClimate changeGlobal climate modelMalaria transmissionVECTRI

Identifiers

PMID41073409
PMCPMC12514050

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