Understanding epidemic data and statistics: A case study of COVID-19

Hoseinpour Dehkordi, A. and Alizadeh, M. and Derakhshan, P. and Babazadeh, P. and Jahandideh, A. (2020) Understanding epidemic data and statistics: A case study of COVID-19. Journal of Medical Virology, 92 (7). pp. 868-882.

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The 2019 novel-coronavirus (COVID-19) has affected 181 countries with approximately 1197405 confirmed cases (by 5th April). Understanding the transmission dynamics of the infection in each country which got affected on a daily basis and evaluating the effectiveness of control policies are critical for our further actions. To date, the statistics of COVID-19 reported cases show that more than 80 of infected are mild cases of disease, around 14 of infected have severe complications, and about 5 are categorized as critical disease victims. Today's report (5th April 2020; daily updates in the prepared website) shows that the confirmed cases of COVID-19 in the United States, Spain, Italy, and Germany are 308850, 126168, 124632, and 96092, respectively. Calculating the total case fatality rate (CFR) of Italy (4th April 2020), about 13.3 of confirmed cases have passed away. Compared with South Korea's rate of 1.8 (seven times lower than Italy) and China's 4 (69 lower than Italy), the CFR of Italy is too high. Some effective policies that yielded significant changes in the trend of cases were the lockdown policy in China, Italy, and Spain (the effect observed after some days), the shutdown of all nonessential companies in Hubei (the effect observed after 5 days), combined policy in South Korea, and reducing working hours in Iran. © 2020 Wiley Periodicals, Inc.

Item Type: Article
Additional Information: cited By 2
Uncontrolled Keywords: adult; Article; bioinformatics; case fatality rate; case study; China; controlled study; coronavirus disease 2019; disease surveillance; disease transmission; epidemic; France; Germany; health care policy; health statistics; human; Iran; Italy; Japan; major clinical study; middle aged; Severe acute respiratory syndrome coronavirus 2; South Korea; Spain; United States; virus classification; working time; algorithm; Asia; Betacoronavirus; Coronavirus infection; Europe; legislation and jurisprudence; organization and management; pandemic; pathogenicity; public health; quarantine; social distance; statistics; time factor; virus pneumonia, Algorithms; Asia; Betacoronavirus; Coronavirus Infections; Europe; Health Policy; Humans; Pandemics; Pneumonia, Viral; Public Health; Quarantine; Social Distance; Statistics as Topic; Time Factors
Subjects: WA Public Health
WC Communicable Diseases
Depositing User: eprints admin
Date Deposited: 20 Sep 2020 08:06
Last Modified: 20 Sep 2020 08:06
URI: http://eprints.iums.ac.ir/id/eprint/23353

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