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

Autor: Suebsarn Ruksakulpiwat, Phongthon Saengchut, Jane E. Vonck, Chantira Chiaranai, Wendie Zhou
Rok vydání: 2021
Předmět:
Zdroj: Journal of Health Science and Medical Research.
ISSN: 2630-0559
2586-9981
DOI: 10.31584/jhsmr.2021836
Popis: 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
Databáze: OpenAIRE
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