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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 AlamMAMd Jisan AhmedRCRitu Chalise

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Overview

Time series analysis shows significant weather-related impacts on dengue cases in Bangladesh, highlighting urgent need for adaptive strategies.

Key Points

  • Dengue cases significantly increased in September 2023, peaking at 79,598 cases, indicating the disease surge during specific climatic conditions.
  • Forecasting predicts annual fluctuations in dengue cases between 10,000 and 20,000 from 2024 to 2027, stressing the importance of continual monitoring.
  • Using time series analysis alongside Poisson regression and SARIMA models completed the evaluation of meteorological influences on dengue disease spread.
  • Integrating meteorological data into early warning systems may enhance dengue control strategies and public health responses against outbreaks.

Cite This Study

Alam et al. (2025) studied this question.

synapsesocial.com/papers/68af33efcf1dd9ea359e965bhttps://doi.org/10.1371/journal.pone.0323238
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