Evidence map›Paper›PMID 42263103›Full record

ArticlePloS one2026

Spatial distribution and risk assessment of dengue incidence at district level across major climatic zones in India.

Meenu Mariya James, Karuppusamy Balasubramani, Praveen Balabaskaran Nina, Natarajan Gopalan, Sujit Kumar Behera

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Article in PloS one, 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

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

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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.

Meenu Mariya JamesDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-8620-9996
Karuppusamy BalasubramaniDepartment of Geography, School of Earth Sciences, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-0671-1033
Praveen Balabaskaran NinaDepartment of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, India.ORCID https://orcid.org/0000-0003-4096-0738
Natarajan GopalanDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India.
Sujit Kumar BeheraDepartment of Epidemiology and Public Health, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-3347-3261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, dengue incidence has been steadily increasing across the different climatic zones of India. The role of climatic variability in the spatial and temporal distribution of dengue at the district level across India is to be determined. District-level dengue incidence data from 2010 to 2022 were obtained from the National Centre for Vector-Borne Disease Control. Indian districts were categorized into eleven climatic zones based on the Köppen-Geiger climate classification scheme and subsequently grouped into three significant climatic zones (tropical, temperate and arid). Temporal trends were assessed using the Prais-Winsten regression model that accounted for serial autocorrelation, while climate zonal differences in annual incidence were evaluated using Kruskal-Wallis tests and pairwise comparisons. The global Moran's I test was used to assess overall spatial autocorrelation, followed by Anselin's local Moran's I test to identify clustering and hotspots of dengue incidences at the district level. There is significant heterogeneity in dengue distribution across the districts in India. Prais-Winsten regression analysis shows the strongest upward trend in dengue incidence in polar tundra (ET) zone [AIR = 126.9%; p = 0.01], temperate, no dry season, hot summer (Cfa) zone [AIR: 94.8%; p = 0.01], and cold, no dry season, warm summer (Dfb) zone [AIR = 85.1%; p < 0.001], indicating a substantial intensification of dengue transmission even in cooler climatic regions. Kruskal-Wallis tests confirmed persistent and significant disparities between tropical, temperate, and arid regions. Spatial analysis revealed clustering (Global Moran's I = 0.06, p < 0.001), with 31 high-incidence clusters concentrated primarily in the semi-arid regions of Punjab and Haryana, and humid regions of Tamil Nadu and Kerala. Overall, the identified clustering of high-incidence districts in semi-arid and humid regions, along with the upward trends in multiple climatic zones, highlights an urgent need to embed climate-sensitive planning, early warning systems, and geographically targeted vector-control measures into India's dengue prevention framework.

Indexed as

ClimateDengueAnimalsHumansIncidenceIndiaRisk AssessmentSeasons

Identifiers

PMID42263103
PMCPMC13249156

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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.