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The 2023 Dengue Fatality in Bangladesh: Spatial and Demographic Insights

ASADUZZAMAN, Md, KHAN, EA, HASAN, MN, RAHMAN, M, ASHRAFI, SAA, Haque, F and HAIDER, N (2025) The 2023 Dengue Fatality in Bangladesh: Spatial and Demographic Insights. IJID Regions. ISSN 2772-7076 (In Press)

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Official URL: https://doi.org/10.1016/j.ijregi.2025.100654

Abstract or description

Introduction: In 2023, Bangladesh faced the largest dengue outbreak resulting in 321,179 confirmed cases and 1,705 fatalities. This study aims to characterise dengue fatalities and analyse their determinants and spatial influence.

Methods: Using data from the Management Information System of the Ministry of Health and Family Welfare, we characterised dengue mortality and conducted a linear regression analysis to determine the impact of age groups and gender on case fatality rate (CFR). We employed a Geographically Weighted Poisson Regression model to assess the spatial influence and impact of population factors.

Results: Women had a higher CFR compared to males (0.75% vs 0.38%, p<0.05). Among the recorded deaths, 74% (n=1262) developed dengue shock syndrome, 17% (n=290) expanded dengue syndrome, and 7% (n=119) dengue hemorrhagic fever. 10-year age groups significantly impacted CFR (estimate: 0.03, p < 0.01), suggesting that each additional decade increased CFR by 30% while gender was insignificant. Higher deaths were observed in the southern regions while spatial clusters were primarily concentrated around Dhaka City, the epicentre of the outbreak. Substantial effects from neighboring districts were also identified.

Conclusion: Bangladesh’s 2023 dengue outbreak resulted in significant mortality, particularly among older age groups. Fatalities were clustered in Dhaka city and its neighbouring districts, especially in the south.

Item Type: Article
Uncontrolled Keywords: dengue mortality; geographical influence; population burden; spatial cluster; Geographically Weighted Poisson Model
Faculty: School of Digital, Technologies and Arts > Engineering
Depositing User: Md ASADUZZAMAN
Date Deposited: 29 Apr 2025 11:08
Last Modified: 29 Apr 2025 11:08
URI: https://eprints.staffs.ac.uk/id/eprint/8941

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