What question did this study set out to answer?

Investigate the spatial distribution of dengue incidence and assess its correlation with climatic factors at the district level.

May 30, 2025International Journal of Environmental Health Research

Spatial mapping of dengue incidence with climate factors at district levels in Bangladesh

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Authors

SHSorif Hossain AHAbid Hasan MIMd. Momin Islam

Discussion

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Overview

Spatial modeling study reveals distinct temperature and rainfall associations with dengue transmission across administrative districts, suggesting targeted regional mitigation strategies.

Key Points

Investigate the spatial distribution of dengue incidence and assess its correlation with climatic factors at the district level.
Gathered district-level dengue surveillance data and meteorological records from national health and weather agencies in Bangladesh.
Evaluated Poisson, zero-inflated, and negative binomial regression models, selecting the negative binomial model based on Akaike Information Criterion values.
Maximum temperature was inversely associated with dengue incidence in Dhaka District (Exp(β) = 0.24, 95% CI: 0.14 to 0.40), whereas higher minimum temperatures correlated with increased cases in Kurigram and Chapainawabganj.
Rainfall significantly increased dengue incidence across specific regions, including Khulna (Exp(β) = 1.05, 95% CI: 1.04 to 1.06), Madaripur (Exp(β) = 1.28, 95% CI: 1.25 to 1.31), and Satkhira (Exp(β) = 1.15, 95% CI: 1.14 to 1.16).

Cite This Study

Hossain et al. (2025) studied this question.

synapsesocial.com/papers/6a6e1950660549caf2c331ff https://doi.org/10.1080/09603123.2025.2511800

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May 30, 2025International Journal of Environmental Health Research

Spatial mapping of dengue incidence with climate factors at district levels in Bangladesh

View Full Paper

Ask AI

Bookmark

Authors

SHSorif Hossain AHAbid Hasan MIMd. Momin Islam

Discussion

Member takes

Overview

Spatial modeling study reveals distinct temperature and rainfall associations with dengue transmission across administrative districts, suggesting targeted regional mitigation strategies.

Key Points

Investigate the spatial distribution of dengue incidence and assess its correlation with climatic factors at the district level.
Gathered district-level dengue surveillance data and meteorological records from national health and weather agencies in Bangladesh.
Evaluated Poisson, zero-inflated, and negative binomial regression models, selecting the negative binomial model based on Akaike Information Criterion values.
Maximum temperature was inversely associated with dengue incidence in Dhaka District (Exp(β) = 0.24, 95% CI: 0.14 to 0.40), whereas higher minimum temperatures correlated with increased cases in Kurigram and Chapainawabganj.
Rainfall significantly increased dengue incidence across specific regions, including Khulna (Exp(β) = 1.05, 95% CI: 1.04 to 1.06), Madaripur (Exp(β) = 1.28, 95% CI: 1.25 to 1.31), and Satkhira (Exp(β) = 1.15, 95% CI: 1.14 to 1.16).

Cite This Study

Hossain et al. (2025) studied this question.

synapsesocial.com/papers/6a6e1950660549caf2c331ff https://doi.org/10.1080/09603123.2025.2511800

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