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Impact of the COVID-19 pandemic on the Thai population: Delineating the effects of the pandemic and policy measures

Published online by Cambridge University Press:  18 December 2023

Nongyao Kasatpibal*
Affiliation:
Division of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai, ThailandEpidemiology Research Center of Infectious Disease (ERCID), Chiang Mai University, Chiang Mai, Thailand
Nongkran Viseskul
Affiliation:
Division of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai, ThailandEpidemiology Research Center of Infectious Disease (ERCID), Chiang Mai University, Chiang Mai, Thailand
Akarapong Untong
Affiliation:
School of Tourism Development, Maejo University, Chiang Mai, Thailand
Kwaunpanomporn Thummathai
Affiliation:
Division of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
Kampong Kamnon
Affiliation:
Rajavithi Hospital, Bangkok, Thailand
Srisakul Sangkampang
Affiliation:
Lumthamenchai Hospital, Nakhon Ratchasima, Thailand
Rusila Tokilay
Affiliation:
Yala Provincial Public Health Office, Yala, Thailand
Srisuda Assawapalanggool
Affiliation:
Infection Control Section, Mae Sot Hospital, Thailand
Anucha Apisarnthanarak
Affiliation:
Division of Infectious Diseases, Thammasat University Hospital, Pratumthani, Thailand
*
Corresponding author: Nongyao Kasatpibal; Email: nongyaok2003@gmail.com

Abstract

Objectives:

This study aimed to determine the impacts of the COVID-19 pandemic and policy measures and delineate the impact of each on a cohort of Thai citizens.

Methods:

A cross-sectional study was conducted among 2,500 Thai people from October 2020 to January 2021. A questionnaire collecting demographic information and other data was sent to eligible subjects.

Results:

Overall, 51.6% and 49.5% of participants felt the impacts of COVID-19 and policy measures at the highest level, respectively. The study demonstrated that the weighted effect of the impact of the COVID-19 outbreak was statistically (p < .001) greater than that of policy measures on family (0.664 vs 0.618), education (0.562 vs 0.557), and the economy (0.643 vs 0.572). The weighted effect of the impact of policy measures was statistically (p < .001) greater than that of the COVID-19 pandemic on people’s daily activities (0.675 vs 0.651), cultural/traditional or community way of life (0.769 vs 0.736), access to healthcare services and infection prevention supplies (0.410 vs 0.390), and mental health (0.625 vs 0.584).

Conclusions:

About half of the participants had a high level of impact from both the COVID-19 pandemic and policy measures. The results of this study suggest that policy measures need to be judged with caution, and the government should provide more comprehensive support to reduce the impact on people’s lives.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1.Participant demographics (n = 2,500)

Figure 1

Table 2.Level of impact of COVID-19 from the pandemic and policy measures among participants (n = 2,500)

Figure 2

Table 3.Response to impact of COVID-19 from outbreak and policy measures items among participants (n = 2,500)

Figure 3

Table 4.Level of anxiety, stress, and depression from the COVID-19 pandemic among participants (n = 2,500)

Figure 4

Table 5.Comparison of the weighted effect of impact of the COVID-19 pandemic and policy measures among participants