Better strategies for containing COVID-19 pandemic: a study of 25 countries via a vSIADR model

Author:

Yan Han1,Zhu Yuru2,Gu Jia2,Huang Yaxuan3,Sun Haoxuan4,Zhang Xinyu1,Wang Yuqing1,Qiu Yumou5,Xi Chen Song126

Affiliation:

1. Guanghua School of Management, Peking University, Beijing, People’s Republic of China

2. Center for Statistical Science, Peking University, Beijing, People’s Republic of China

3. Yuanpei College, Peking University, Beijing, People’s Republic of China

4. Center for Data Science, Peking University, Beijing, People’s Republic of China

5. Department of Statistics, Iowa State University, Ames, IA, USA

6. School of Mathematical Science, Peking University, Beijing, People’s Republic of China

Abstract

We study epidemiological characteristics of 25 early COVID-19 outbreak countries, which emphasizes on the reproduction of infection and effects of government control measures. The study is based on a vSIADR model which allows asymptomatic and pre-diagnosis infections to reflect COVID-19 clinical realities, and a linear mixed-effect model to analyse the association between each country’s control measures and the effective reproduction number R t . It finds significant effects of higher stringency measures in lowering the reproduction, and a significant shortening effect on the time to the epidemic turning point by applying stronger early counter measures. Epidemic projections under scenarios of the counter measures (China and Korea, the USA and the UK) show substantial reduction in the epidemic size and death by taking earlier and forceful actions. The governments’ response before and after the start of the second wave epidemics were alarmingly weak, which made the average duration of the second wave more than doubled that of the first wave. We identify countries which urgently need to restore to at least the maximum stringency measures implemented so far in the pandemic in order to avoid even higher infection size and death.

Funder

China's National Key Research and Innovation Program

Peking University

National Natural Science Foundation of China

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference43 articles.

1. World Health Organization. 2020. https://covid19.who.int.

2. An interactive web-based dashboard to track COVID-19 in real time

3. World Health Organization. 2020 WHO Situation Report. www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports.

4. Dingxiang Doctors. 2020 COVID-19 Data Platform. http://3g.dxy.cn/newh5/view/pneumonia.

5. Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China

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