Impact of meteorological factors on the COVID-19 pandemic in Thailand

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Published: Dec 30, 2022
DOI: https://doi.org/10.14456/sehs.2022.61
Keywords:
climate factors covid-19 statistical association Thailand

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Phongthon Saengchut
Occupational Health and Safety Program, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani, Thailand. Corresponding author's e-mail: [email protected]
Suebsarn Ruksakulpiwat
Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok, Thailand
Watcharapol Wonglertarak
School of Environmental Engineering and Disaster Management Program, Mahidol University, Kanchanaburi, Thailand
Chanyakarn Kokaphan
Occupational Health and Safety Program, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani, Thailand
Kritsada Phengarree
School of Occupational Health and Safety, Institute of Public Health, Suranaree University of Technology, Nakhon Ratchasima, Thailand

Abstract

Meteorological factors such as humidity, wind speed, rainfall, and temperature have been found to impact the spread of COVID-19. However, there is still a lack of studies on this aspect in Thailand. Therefore, this study aimed to determine the impact of meteorological factors on the COVID-19 pandemic in Thailand. The data regarding the number of COVID-19 patients between January to May 2021 and meteorological factors from 12 provinces in Thailand were retrieved from Thai Digital Government Development Agency and Thai Meteorological Department, respectively. The differences in meteorological factors in 12 provinces, and between meteorological factors were analyzed. Multiple regression method was used to examine the impact of meteorological factors on the number of COVID-19 patients. The number of COVID-19 patients in Thailand in the third pandemic wave was higher than in the first and second waves. The cumulative patients of the third wave since January-May 2021 in Bangkok, Chiang Mai, Samut Prakan, and Chon Buri were among the highest. The meteorological factors in each province, including relative humidity, wind speed, and temperature, were significantly different. Furthermore, a significant association between temperature and the number of COVID-19 patients was found. Finally, the multiple regression analysis showed that the temperature factor could significantly predict the number of COVID-19 patients. The result from this study may be useful for future study aimed at determining a strategy to prevent the COVID-19 pandemic cause by meteorological factors.

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How to Cite
Saengchut, P., Ruksakulpiwat, S., Wonglertarak, W., Kokaphan, C., & Phengarree, K. (2022). Impact of meteorological factors on the COVID-19 pandemic in Thailand. Science, Engineering and Health Studies, 16, 22050024. https://doi.org/10.14456/sehs.2022.61
Issue
Volume 16, 2022
Section
Health sciences
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

References

Auler, A. C., Cássaro, F. A. M., Da Silva, V. O., and Pires, L. F. (2020). Evidence that high temperatures and intermediate relative humidity might favor the spread of COVID-19 in tropical climate: a case study for the most affected Brazilian cities. Science of the Total Environment, 729, 139090.

Basray, R., Malik, A., Waqar, W., Chaudhry, A., Malik, M. W., Khan, M. A., Ansari, J. A., and Ikram, A. (2021). Impact of environmental factors on COVID-19 cases and mortalities in major cities of Pakistan. Journal of Biosafety and Biosecurity, 3(1), 10-16.

Chan, K. H., Peiris, J. M., Lam, S. Y., Poon, L. L. M., Yuen, K. Y., and Seto, W. H. (2011). The effects of temperature

and relative humidity on the viability of the SARS coronavirus. Advances in Virology, (2011), 734690.

Ciotti, M., Ciccozzi, M., Terrinoni, A., Jiang, W. C., Wang, C. B., and Bernardini, S. (2020). The COVID-19 pandemic. Critical Reviews in Clinical Laboratory Sciences, 57(6), 365-388.

Coccia, M. (2021). The effects of atmospheric stability with low wind speed and of air pollution on the accelerated transmission dynamics of COVID-19. International Journal of Environmental Studies, 78(1), 1-27.

Digital Government Development Agency (2020). Report: COVID-19 daily data for Thailand. [Online URL: https://data.go.th/en/dataset/covid-19-daily] accessed on July 30, 2021.

Feng, Y., Marchal, T., Sperry, T., and Yi, H. (2020). Influence of wind and relative humidity on the social distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study. Journal of Aerosol Science, 147, 105585.

Haque, S. E., and Rahman, M. (2020). Association between temperature, humidity, and COVID-19 outbreaks in Bangladesh. Environmental Science & Policy, 114, 253-255.

Jia, J., Ding, J., Liu, S., Liao, G., Li, J., Duan, B., Wang G., and Zhang, R. (2020). Modeling the control of COVID-19: Impact of policy interventions and meteorological factors. Electronic Journal of Differential Equations, 2020, 23.

Marome, W., and Shaw, R. (2021). COVID-19 response in Thailand and its implications on future preparedness. International Journal of Environmental Research and Public Health, 18(3), 1089.

Mecenas, P., Bastos, R. T. D. R. M., Vallinoto, A. C. R., and Normando, D. (2020). Effects of temperature and humidity on the spread of COVID-19: A systematic review. PLoS One, 15(9), e0238339.

Mourtzoukou, E. G., and Falagas, M. E. (2007). Exposure to cold and respiratory tract infections. The International Journal of Tuberculosis and Lung Disease, 11(9), 938-943.

Nicepng. (2021). Free PNG Image Library. Map of Thailand. [Online URL: https://www.nicepng.com] accessed on July 4, 2021.

Oxford Policy Management and United Nations. (2020). Social Impact Assessment of COVID-19 in Thailand. Oxford: Oxford Policy Management.

Qian, M., and Jiang, J. (2020). COVID-19 and social distancing. Journal of Public Health, 30(1): 259-261.

Rashed, E. A., Kodera, S., Gomez-Tames, J., and Hirata, A. (2020). Influence of absolute humidity, temperature and population density on COVID-19 spread and decay durations: multi-prefecture study in Japan. International Journal of Environmental Research and Public Health, 17(15), 5354.

Ruksakulpiwat, S., Zhou, W., Chiaranai, C., and Vonck, J. E. (2021). Human travelling and COVID-19 pandemic. Siriraj Medical Journal, 73(9), 562-569.

Ruksakulpiwat, S., Zhou, W., Chiaranai, C., Saengchut, P., and Vonck, J. E. (2022). Age, Sex, Population Density and COVID-19 Pandemic in Thailand: A nationwide descriptive correlational study. Journal of Health Science and Medical Research, 40(3), 281-291.

Sahoo, P. K., Mangla, S., Pathak, A. K., Salãmao, G. N., and Sarkar, D. (2021a). Pre-to-post lockdown impact on air quality and the role of environmental factors in spreading the COVID-19 cases: A study from a worst-hit state of India. International Journal of Biometeorology, 65(2), 205-222.

Sahoo, P. K., Chauhan, A. K., Mangla, S., Pathak, A. K., and Garg, V. K. (2021b). COVID-19 pandemic: An outlook on its impact on air quality and its association with environmental variables in major cities of Punjab and Chandigarh, India. Environmental Forensics, 22(1-2), 143-154.

Srichannil, C. (2020). The COVID-19 pandemic and Thailand: A psychologist’s viewpoint. Psychological Trauma: Theory, Research, Practice, and Policy, 12(5), 485.

Thai Meteorological Department (2021). The Climate of Thailand. [Online URL: http://climate.tmd.go.th/] accessed on August 13, 2021.

Wang, J., Tang, K., Feng, K., and Lv, W. (2020). High temperature and high humidity reduce the transmission of COVID-19. BMJ Open, 3551767.

WHO (2020a). Switzerland: Coronavirus disease (COVID-19). [Online URL: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirus-disease-covid-19-how-is-it-transmitted] accessed on September 1, 2021.

WHO (2020b). Switzerland: Situation by WHO Region. [Online URL: https://covid19.who.int/] accessed on September 8, 2021.

Worldometer (2022). Thailand COVID - Coronavirus Statistics. [Online URL: https://www.worldometers.info/coronavirus/country/thailand/] accessed on September 29, 2022.

Wu, Y., Jing, W., Liu, J., Ma, Q., Yuan, J., Wang, Y., Du, M., and Liu, M. (2020). Effects of temperature and humidity on the daily new cases and new deaths of COVID-19 in 166 countries. Science of the Total Environment, 729, 139051.