Estimation of the Number of Cumulative COVID-19 Cases by Day in Thailand Based on a Flattened Curve Policy

Y. Areepong, R. Sunthornwat
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Abstract

Since December 2019, the world has been facing an emerging infectious disease named coronavirus disease 2019. Thailand has also been affected by the spread of the coronavirus. The Thai government have announced policies to protect people, based on the emergency decree and curfew law for flattening the curve of the number of the coronavirus disease 2019 cases without vaccination in Thailand. This research estimated of the number of total infectious cases of coronavirus disease 2019 in Thailand. Two growth curves, including an exponential growth curve under a non-flattened curve policy (herd immunity policy without vaccination), and a logistic growth curve under a flattened curve policy without vaccination, were selected to estimate the parameters of the curves by the least square method to represent the number of the total infectious cases in Thailand. Moreover, the maximum infectious cases of coronavirus disease 2019 and the speed of spreading for coronavirus disease 2019 in Thailand were also explored. Based on the number of the total infectious cases of coronavirus disease 2019 in Thailand, the findings demonstrated that the coefficient of determination of the logistic growth curve was greater than the exponential growth curve and the root means squared percentage error of the logistic growth curve was less than the exponential growth curve. These results suggest that the logistic growth curve is suitable for describing the number of total infectious cases of coronavirus disease 2019 in Thailand under the fattened curve policy. [ABSTRACT FROM AUTHOR] Copyright of Walailak Journal of Science & Technology is the property of Walailak Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
基于扁平曲线政策的泰国日累计COVID-19病例数估算
自2019年12月以来,世界一直面临着一种名为2019冠状病毒病的新兴传染病。泰国也受到了冠状病毒传播的影响。泰国政府根据紧急状态令和宵禁法,宣布了保护国民的政策,以平抑泰国国内未接种疫苗的新冠肺炎病例数曲线。本研究估计了泰国2019年冠状病毒病感染病例总数。选取非平坦曲线政策(不接种疫苗的群体免疫政策)下的指数增长曲线和平坦曲线政策(不接种疫苗)下的logistic增长曲线,用最小二乘法估计曲线参数,代表泰国感染病例总数。并对2019冠状病毒病在泰国的最大感染病例数和传播速度进行了探讨。基于泰国2019冠状病毒病感染病例总数,结果表明logistic增长曲线的决定系数大于指数增长曲线,logistic增长曲线的均方根百分比误差小于指数增长曲线。上述结果表明,在肥化曲线政策下,logistic增长曲线适合描述泰国2019冠状病毒病感染总病例数。【摘要】Walailak Journal of Science & Technology版权归Walailak Journal of Science & Technology所有,未经版权方明确书面许可,不得将Walailak Journal of Science & Technology的内容复制、通过电子邮件发送到多个网站或发布到某个列表服务器。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这篇摘要可以删节。对副本的准确性不作任何保证。用户应参考资料的原始出版版本以获取完整摘要。(版权适用于所有摘要。)
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