Evidence map›Paper›PMID 42699963›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine2026

Epidemiology of Dengue Virus Infection in Different Geopolitical Zones of Odisha in Relation to Climatic Variation: An Observational Study.

Sailendra Panda, Gayatri Patra, Debasmita S Mishra, Birendra K Bindhani, Bhagirathi Dwibedi

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Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine, 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

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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.

Sailendra PandaDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Gayatri PatraDepartment of Pediatrics, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Debasmita S MishraDepartment of Agriculture and Farmers' Empowerment, Govt. of Odisha, Odisha, India.
Birendra K BindhaniSchool of Biotechnology, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Bhagirathi DwibediVirology Laboratory, Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue is a major and expanding public health problem in India, with increasing case numbers and geographic spread. Climatic factors, particularly temperature and rainfall, play an important role in its transmission dynamics. Objectives: To analyze epidemiological trends and the association of climatic variables with dengue across different geopolitical zones of Odisha during 2012-2016. Methods: This multi-center retrospective observational study was based on passive surveillance, supplemented by active case finding, and conducted across selected healthcare facilities in Odisha between January 2012 and December 2016. A total of 4,325 patients with dengue-like illness were enrolled. Laboratory confirmation was performed using serological and molecular methods. Monthly climatic data were obtained from meteorological sources, and associations with dengue cases were assessed using Spearman correlation with a 1-month lag analysis. Results: Of 4,325 cases, 2,212 (51.14%) were laboratory confirmed. Adults aged ≥ 20 years and males were more commonly affected. Dengue cases demonstrated a clear seasonal pattern, peaking during August to October. Rainfall showed a strong positive correlation with dengue cases (ρ =0.66, Conclusion: Dengue transmission in Odisha shows marked spatial and temporal variation influenced by climatic factors. Rainfall, particularly with a lag effect, is strongly associated with dengue cases. Integration of climatic data into surveillance systems may support early warning and targeted interventions.

Indexed as

Climatic factorsdenguedengue-like illnessepidemiologyOdisha

Identifiers

PMID42699963
PMCPMC13544926

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