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Published on: November 10, 2023
Influencing factors of COVID-19 spreading: a case study of Thailand
Kraichat Tantrakarnapa1, Bhophkrit Bhopdhornangkul2, Kanchana Nakhaapakorn3
1Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Ratchathewi, Bangkok, Thailand.
Insights
Tourist numbers significantly correlated with COVID-19 spread in Thailand. Effective government regulations, healthcare, and public support were key to controlling the pandemic
Area of Science:
- Epidemiology
- Public Health
Background:
- The COVID-19 pandemic, declared by WHO, impacted global and local health systems.
- Understanding disease spread dynamics, particularly in relation to population movement, is crucial for effective control.
Purpose of the Study:
- To analyze the COVID-19 situation and spread in Thailand.
- To identify key factors influencing COVID-19 transmission and control measures within the country.
Main Methods:
- Utilized confirmed COVID-19 case data from the Department of Disease Control.
- Incorporated tourist data from the Ministry of Tourism and Sports.
- Analyzed data from the first case until April 15, 2020, using Pearson correlation coefficients.
Main Results:
- A significant positive correlation (r > 0.7) was found between tourist numbers, visitor income, and COVID-19 infections (p < 0.01).
- Factors contributing to a slower increase rate included strong government regulations, a robust healthcare system, social factors, and public-private partnerships.
Conclusions:
- Tourist activities and numbers demonstrated a significant association with confirmed COVID-19 cases in Thailand.
- Public education and social support were vital for successful regulation enforcement and implementation.
Aim:
A novel corona virus disease 2019 (COVID-19) was declared as pandemic by WHO as global level and local levels in many countries. The movement of people might be one influencing factor, this paper aims to report the situation COVID-19 and spreading in Thailand, including influencing factors of spreading and control.
Subject And Method:
Infected, confirmed COVID-19 data were obtained from the official website of the Department of Disease Control, Ministry of Public Health. Tourist data was downloaded from Ministry of Tourism and Sports. Researchers analyzed the situation from the first found case in Thailand until 15 April 2020 with the timeline of important influencing factors. Correlation coefficients of tourist data and infected case was calculated by person correlation coefficient.
Results:
The number of infected cases was significant associated (correlation coefficient > 0.7) with economic factor, namely; number of visitors, generated income from both Thai and foreigner tourist (p value <0.01). The influencing factors of slow increased rate were the enforcement and implementation of both central and local government regulation, the strength of the Thai health care system, the culture and social relation, the partnership among various governmental and private sectors.
Conclusion:
We found that the number of tourist and their activities were significant associated with number of infected, confirmed COVID-19 cases. The public education and social supporting were the key roles for regulation enforcement and implementation.
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