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August 18, 2025PLoS ONEOpen Access

Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh

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Authors

KAKazi Estieque AlamSher-e-Bangla Agricultural University MAMd Jisan AhmedSher-e-Bangla Agricultural University RCRitu ChaliseSher-e-Bangla Agricultural University

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Implication

Time series analysis reveals the impact of meteorological factors on dengue incidence in Bangladesh, suggesting further integration into surveillance systems.

Key Points

Dengue incidence shows strong positive correlation with temperature and humidity, leading to increased cases due to meteorological factors.
The highest reported dengue cases reached 79,598 in September 2023, indicating significant climate-related risks.
Analysis utilized time series forecasting techniques and Poisson regression to assess dengue trends over the years.
Forecasts predict annual cases between 10,000 and 20,000 from 2024 to 2027, highlighting ongoing public health challenges.

Cite This Study

Alam et al. (2025) studied this question.

synapsesocial.com/papers/68af4760ad7bf08b1ead4475 https://doi.org/10.1371/journal.pone.0323238

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Implication

Time series analysis reveals the impact of meteorological factors on dengue incidence in Bangladesh, suggesting further integration into surveillance systems.

Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh

Discussion

Member takes

Implication

Key Points

Cite This Study

Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh

Discussion

Member takes

Implication

Key Points

Cite This Study

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