Factors Associated with the Incidence of COVID-19 Infectious Disease in Muang Pattani District, Thailand

Authors

  • Lukman Dunthara Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Mueang, Pattani 94000, Thailand.
  • Arinda Ma-A-Lee Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Mueang, Pattani 94000, Thailand.
  • Surasak Sangkhathat Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Mueang, Pattani 94000, Thailand. Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.

DOI:

https://doi.org/10.31584/jhsmr.20241035

Keywords:

COVID-19 incidence, Thailand, Demographic, Spatial-temporal, Negative binomial

Abstract

Objective: This study aimed to investigate the COVID-19 incidence in Muang Pattani district; from April 2021 and September 2022, Specifically, the main objective was to study the varying distribution by demographic, area and period of COVID-19.
Material and Methods COVID-19 data, with 15,807 reported cases was obtained from the Muang Pattani District Health Office. A descriptive analysis was used to describe the characteristics of the COVID-19 cases. A negative binomial model was used to investigate COVID-19 incidence.
Results: The overall incidence of COVID-19 was around 1,188.9 cases per 100,000 of the population.  Females had a higher incidence rate of COVID-19 infection than males. People aged from 20 to 39 years old had significantly higher incidence rates than the average, with the highest rate being found in the Barohom sub-district. In 2021, the highest rates were in the month of October, followed by July and August; while March was reported as the highest rate in 2022.
ConclusionThe findings of this study can be used by the public health organizations and others involved in COVID-19 for direct prevention and control in those high-incidence areas.  This study has also proven that its findings can be applied to cases related to the prevention programs of other infectious diseases in Thailand.

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Published

2024-06-21

How to Cite

1.
Dunthara L, Ma-A-Lee A, Sangkhathat S. Factors Associated with the Incidence of COVID-19 Infectious Disease in Muang Pattani District, Thailand. J Health Sci Med Res [Internet]. 2024 Jun. 21 [cited 2024 Jun. 30];42(4):e20241035. Available from: https://he01.tci-thaijo.org/index.php/jhsmr/article/view/271698

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Original Article