Climate Change and Dengue in India: A Panel-Data Analysis, 1997–2022

Modelling the impact of climate variability on dengue burden across Indian states

By Arun Mitra in Epidemiology Climate & Health Data Science

October 26, 2025

Background

Dengue is among the most climate-sensitive vector-borne diseases, with transmission shaped by temperature, rainfall, and humidity that govern mosquito breeding and viral replication. India has experienced a substantial rise in dengue burden in recent decades, concurrent with climatic change. This project, titled “Panel Data Modelling for determining Climate Change impact on Dengue in India from 1997-2022”, examines how climate variability has influenced the dengue burden across Indian states.

Approach

The study uses panel-data (longitudinal, state-by-year) statistical and econometric modelling to relate dengue incidence to climatic variables across Indian states over the period 1997–2022. The analysis was carried out in R, exploiting the panel structure to account for state-level heterogeneity and temporal trends. The work was developed as part of a data-science collaboration (with Biju Soman and colleagues).

What we found

  • Results are not yet public while the manuscript is under review.

Outputs & impact

The manuscript has been submitted to Annals of Epidemiology (co-authorship confirmed October 2025) and is currently under review; no DOI is available yet. The work is intended to inform climate-resilient dengue surveillance and early-warning planning across Indian states.

Posted on:
October 26, 2025
Length:
1 minute read, 183 words
Categories:
Epidemiology Climate & Health Data Science
Tags:
dengue climate change panel data time series vector-borne disease R
See Also:
Three-Day Workshop on Reproducible and AI-aided Health Data Analysis at IQRAA
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