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ISSN Approved Journal | | IMPACT FACTOR 8.16 | | eISSN: 2582-5542 | |  Free Crossref DOI 

Fast Publication within 2 days | | Low Article Processing Charges | | Peer Reviewed and Referred Journal

Research and review articles are invited for publication in September 2026 (Volume 27, Issue 3) Submit Paper

A study of geospatial distribution and seasonal trend of dengue fever in a Ratnagiri District of Konkan Region of Maharashtra

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  • A study of geospatial distribution and seasonal trend of dengue fever in a Ratnagiri District of Konkan Region of Maharashtra

Shelke R 1, Asokan D 1, Sadawarte D 2 and Sadawarte M 1, *

1 Grant Government Medical College and Sir JJ Group of Hospitals, Mumbai, Maharashtra, India.

2 Seth GSMC and KEM Hospital, Mumbai, Maharashtra, India.

Research Article

World Journal of Biology Pharmacy and Health Sciences, 2025, 22(02), 001-007

Article DOI: 10.30574/wjbphs.2025.22.2.0448

DOI url: https://doi.org/10.30574/wjbphs.2025.22.2.0448

Received on 18 March 2025; revised on 29 April 2025; accepted on 01 May 2025

Introduction: Dengue fever, a vector-borne disease primarily transmitted by Aedes aegypti and Aedes albopictus, poses a significant public health challenge in tropical and subtropical regions, including the Asia-Pacific. The Konkan region of Maharashtra, with heavy monsoon rainfall, an average temperature of 25ºC, and 73% humidity, provides an ideal environment for dengue transmission.

Methods: A record-based descriptive study was conducted in Ratnagiri district (August 2024–January 2025) using secondary data from the government health administration (January 2020–December 2023). Descriptive statistics determined epidemiological distribution, while Pearson’s Chi-square test assessed associations. Geospatial mapping with QGIS 3.40.1 visualized disease patterns.

Results: Among 398 cases, males (64.57%) had a significantly higher burden than females (35.43%) (p < 0.001). The 16–30 age group was most affected (41.46%). Cases peaked in September–October. Ratnagiri and Chiplun subdivisions had the highest burden, with five prominent hotspots identified.

Conclusion: The monsoon and post-monsoon periods were high-risk transmission windows. Geospatial mapping can aid real-time monitoring, targeted vector control, and outbreak preparedness. Further research should explore the socio-environmental determinants of dengue transmission. 

Geospatial distribution; Dengue fever; Hotspots; Seasonal trend; Epidemiology; Vector control

https://wjbphs.com/sites/default/files/fulltext_pdf/WJBPHS-2025-0448.pdf

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Shelke R, Asokan D, Sadawarte D and Sadawarte M. A study of geospatial distribution and seasonal trend of dengue fever in a Ratnagiri District of Konkan Region of Maharashtra. World Journal of Biology Pharmacy and Health Sciences, 2025, 22(02), 001-007. Article DOI: https://doi.org/10.30574/wjbphs.2025.22.2.0448.

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