Forecast Possible Risk for COVID-19 Epidemic Dissemination under Current Control Strategies in Japan

Zhongxiang Chen, Jun Yang and Binxiang Dai
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Zhongxiang Chen: College of Engineering and Design, Hunan Normal University, Yuelu District, Changsha 410081, China
Jun Yang: College of Engineering and Design, Hunan Normal University, Yuelu District, Changsha 410081, China
Binxiang Dai: School of Mathematics and Statistics, Central South University, Yuelu District, Changsha 410081, China

IJERPH, 2020, vol. 17, issue 11, 1-9

Abstract: COVID-19 has globally spread to over 4 million people and the epidemic situation in Japan is very serious. The purpose of this research was to assess the risk of COVID-19 epidemic dissemination in Japan by estimating the current state of epidemic dissemination and providing some epidemic prevention and control recommendations. Firstly, the period from 6 January to 31 March 2020 was divided into four stages and the relevant parameters were estimated according to the imported cases in Japan. The basic reproduction number of the current stage is 1.954 (95% confidence interval (CI) 1.851–2.025), which means COVID-19 will spread quickly, and the self-healing rate of Japanese is about 0.495 (95% CI 0.437–0.506), with small variations in the four stages. Secondly, the results were applied to the actual reported cases from 1 to 5 April 2020, verifying the reliability of the estimated data using the accumulated reported cases located within the 95% confidence interval and the relative error of forecast data of five days being less than 2.5 % . Thirdly, considering the medical resources in Japan, the times the epidemic beds and ventilators become fully occupied are predicted as 5 and 15 May 2020, respectively. Keeping with the current situation, the final death toll in Japan may reach into the millions. Finally, based on experience with COVID-19 prevention and control in China, robust measures such as nationwide shutdown, store closures, citizens isolating themselves at home, and increasing PCR testing would quickly and effectively prevent COVID-19 spread.

Keywords: COVID-19; SEIHR epidemic model; basic reproduction number (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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