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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Environmental determinants of infectious disease incidence: A discrete time series analysis in Bangladesh

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  • Environmental determinants of infectious disease incidence: A discrete time series analysis in Bangladesh

Khondoker Rukyath Alam * and Mohammad Ahsan Uddin

Department of Statistics, Faculty of Science, University of Dhaka, Dhaka, Bangladesh.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 24(03), 2590-2602
Article DOI: 10.30574/wjarr.2024.24.3.3697
DOI url: https://doi.org/10.30574/wjarr.2024.24.3.3697
 
Received on 26 November 2024; revised on 22 December 2024; accepted on 25 December 2024
 
Weather is an important determinant for human health. There is an apparent increase in outbreak of many infectious diseases which reflects the combined impacts of rapid demographic, environmental, social, technological and other changes in our way-of-living. This study aimed to analyze the effects of environmental factors on infectious disease occurrences in Bangladesh using time series data from 2013 to 2022. Environmental data (monthly average temperature, monthly average relative humidity and monthly average rainfall) were collected from the Bangladesh Agricultural Research Council (BARC) and disease data (Tetanus, HIV and Chickenpox counts) were obtained from the Infectious Disease Hospital in Dhaka. Utilizing Poisson and Negative Binomial (NB) Generalized Linear Models (GLMs), the impact of weather variability on disease transmission was examined. The best-fitted models yielded AIC values of 682.7 for Tetanus, 605.96 for HIV and 608.01 for Chickenpox, with corresponding RMSE values of 3.33, 0.22 and 1.67. The study found that monthly average rainfall negatively affects Tetanus counts while temperature and humidity had significant positive and negative effects on Chickenpox counts respectively. No significant effect of environmental factors on HIV counts was observed. These findings can inform preventative measures and strategies to reduce disease impact.
 
Infectious disease; HIV; Temperature; Humidity; Count regression model; Dhaka
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-3697.pdf

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Khondoker Rukyath Alam and Mohammad Ahsan Uddin. Environmental determinants of infectious disease incidence: A discrete time series analysis in Bangladesh. World Journal of Advanced Research and Reviews, 2024, 24(3), 2590-2602. Article DOI: https://doi.org/10.30574/wjarr.2024.24.3.3697

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