Age, Sex, Population Density and COVID-19 Pandemic in Thailand: A Nationwide Descriptive Correlational Study

Authors

  • Suebsarn Ruksakulpiwat Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkoknoi, Bangkok 10700, Thailand.
  • Wendie Zhou The Second Affiliated Hospital of Harbin Medical University, Harbin 150001 China and School of Nursing, Harbin Medical University, Harbin 150001 China.
  • Chantira Chiaranai Institute of Nursing, Suranaree University of Technology, Mueang, Nakhonratchasima 30000, Thailand.
  • Phongthon Saengchut Program of Public Health, Western University, Huai Krachao, Kanchanaburi 71170, Thailand.
  • Jane E. Vonck The University of Wisconsin-Madison, Madison, WI 53715, United States.

DOI:

https://doi.org/10.31584/jhsmr.2021836

Keywords:

age, COVID-19, population density, public health, sex

Abstract

Objective: It is reported that age and sex have been identified as potential risk factors for severe outcomes and the distribution of coronavirus disease (COVID-19), although the specifics of these relationships are unclear. Furthermore, little is known about the relationship between age, sex, COVID-19, and population density in Thailand. This study proposed to examine the relationships among age, sex, population density, and the number of COVID-19 patients in Thailand.

Material and Methods: In this nationwide descriptive correlational study, the dataset of daily COVID-19 cases in Thailand between January 12, 2020, and November 30, 2020, and population density (people/km2) in each province of Thailand was retrieved from the Open Government Data of Thailand, the Registration Office Department of the Interior, the Ministry of the Interior, and the National Statistical Office of Thailand. Chi-square and Pearson product-moment correlation were used to determine the difference and relationships among studied variables. Simple linear regression was used to predict the number of COVID-19 cases based on population density.

Results: The findings illustrated a significant difference between male and female patients, in which the number of male patients was higher than female patients across age groups 31-45 years, 40-60 years, and >60 years (p-value<0.010). Further, population density was significantly associated with the number of COVID-19 cases.

Conclusion: This investigation would provide intervention planning implications during potential future pandemics, especially in groups at higher risk (males, age 17-46 years old, and people living in high-density population areas).

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Published

2021-09-03

How to Cite

1.
Ruksakulpiwat S, Zhou W, Chiaranai C, Saengchut P, Vonck JE. Age, Sex, Population Density and COVID-19 Pandemic in Thailand: A Nationwide Descriptive Correlational Study. J Health Sci Med Res [Internet]. 2021 Sep. 3 [cited 2022 Jun. 29];40(3):281-9. Available from: https://he01.tci-thaijo.org/index.php/jhsmr/article/view/255388

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Original Article