Research group on Applied Digital Technology in Medicine (ATM), Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University Big Data Analytics and IoT Center (CUBIC), Chulalongkorn University, Bangkok, Thailand.
PLoS One. 2021 Feb 19;16(2):e0246274. doi: 10.1371/journal.pone.0246274. eCollection 2021.
A novel infectious respiratory disease was recognized in Wuhan (Hubei Province, China) in December 2019. In February 2020, the disease was named "coronavirus disease 2019" (COVID-19). COVID-19 became a pandemic in March 2020, and, since then, different countries have implemented a broad spectrum of policies. Thailand is considered to be among the top countries in handling its first wave of the outbreak-12 January to 31 July 2020. Here, we illustrate how Thailand tackled the COVID-19 outbreak, particularly the effects of public health interventions on the epidemiological spread. This study shows how the available data from the outbreak can be analyzed and visualized to quantify the severity of the outbreak, the effectiveness of the interventions, and the level of risk of allowed activities during an easing of a "lockdown." This study shows how a well-organized governmental apparatus can overcome the havoc caused by a pandemic.
一种新型传染性呼吸道疾病于 2019 年 12 月在中国(湖北省)武汉被发现。2020 年 2 月,该疾病被命名为“2019 年冠状病毒病”(COVID-19)。COVID-19 于 2020 年 3 月成为全球大流行疾病,自此,不同国家已实施了一系列广泛的政策。泰国被认为是在应对第一波疫情方面做得较好的国家之一(2020 年 1 月 12 日至 7 月 31 日)。在这里,我们展示了泰国如何应对 COVID-19 疫情,特别是公共卫生干预措施对疫情传播的影响。本研究表明,如何分析和可视化疫情爆发的可用数据,以量化疫情的严重程度、干预措施的有效性以及放宽“封锁”时允许活动的风险水平。本研究展示了一个组织良好的政府机构如何克服大流行带来的破坏。