Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Quantifying the Impact of Rainfall Categories on Dengue Occurrence: A Multi-Site Analysis in India

Version 1 : Received: 4 December 2023 / Approved: 5 December 2023 / Online: 5 December 2023 (14:56:16 CET)

How to cite: Barik, P.; Goswami, P. Quantifying the Impact of Rainfall Categories on Dengue Occurrence: A Multi-Site Analysis in India. Preprints 2023, 2023120239. https://doi.org/10.20944/preprints202312.0239.v1 Barik, P.; Goswami, P. Quantifying the Impact of Rainfall Categories on Dengue Occurrence: A Multi-Site Analysis in India. Preprints 2023, 2023120239. https://doi.org/10.20944/preprints202312.0239.v1

Abstract

Identification of Dengue drivers is crucial for pro-active prevention strategies. In semi-arid regions, the relationship between meteorological variables, particularly rainfall, and the dengue vector is complex. This study analyzes associations between the number of dengue cases and rainfall categories in six semi-arid locations in India. Focusing on official website data, we find significant correlations only with heavy rainfall (R>10 mm/day). The findings underscore the importance of heavy rainfall in Dengue incidence and offer insights for pro-active prevention. The study methodology involves rainfall and dengue occurrence over Indian region. This research contributes to the growing body of knowledge on Dengue prevention, emphasizing the need for targeted interventions during periods of heavy rainfall.

Keywords

Dengue occurrence; dengue control; dengue and heavy rainfall; dengue and rainfall categories; dengue and climate change

Subject

Public Health and Healthcare, Public, Environmental and Occupational Health

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