Age, Sex, Population Density and COVID-19 Pandemic in Thailand: A Nationwide Descriptive Correlational Study
Issued Date
2022-05-01
Resource Type
ISSN
25869981
eISSN
26300559
Scopus ID
2-s2.0-85125471655
Journal Title
Journal of Health Science and Medical Research
Volume
40
Issue
3
Start Page
281
End Page
291
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Health Science and Medical Research Vol.40 No.3 (2022) , 281-291
Suggested Citation
Ruksakulpiwat S., Zhou W., Chiaranai C., Saengchut P., Vonck J.E. Age, Sex, Population Density and COVID-19 Pandemic in Thailand: A Nationwide Descriptive Correlational Study. Journal of Health Science and Medical Research Vol.40 No.3 (2022) , 281-291. 291. doi:10.31584/jhsmr.2021836 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/85935
Title
Age, Sex, Population Density and COVID-19 Pandemic in Thailand: A Nationwide Descriptive Correlational Study
Other Contributor(s)
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).