PubMed:32175421 JSONTXT 36 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T1 0-97 DRI_Approach denotes Early estimation of the case fatality rate of COVID-19 in mainland China: a data-driven analysis.
T2 98-374 DRI_Background denotes Background: An ongoing outbreak of pneumonia caused by a novel coronavirus [severe acute respiratory syndrome coronavirus (SARS-CoV)-2], named COVID-19, hit a major city of China, Wuhan in December 2019 and subsequently spread to other provinces/regions of China and overseas.
T3 375-570 DRI_Background denotes Several studies have been done to estimate the basic reproduction number in the early phase of this outbreak, yet there are no reliable estimates of case fatality rate (CFR) for COVID-19 to date.
T4 571-707 DRI_Background denotes Methods: In this study, we used a purely data-driven statistical method to estimate the CFR in the early phase of the COVID-19 outbreak.
T5 708-724 DRI_Approach denotes Daily numbers of
T6 755-938 DRI_Approach denotes cases and deaths were collected from January 10 to February 3, 2020 and divided into three clusters: Wuhan city, other cities of Hubei province, and other provinces of mainland China.
T7 939-1020 DRI_Approach denotes Simple linear regression model was applied to estimate the CFR from each cluster.
T8 1021-1284 DRI_Outcome denotes Results: We estimated that CFR during the first weeks of the epidemic ranges from 0.15% (95% CI: 0.12-0.18%) in mainland China excluding Hubei through 1.41% (95% CI: 1.38-1.45%) in Hubei province excluding the city of Wuhan to 5.25% (95% CI: 4.98-5.51%) in Wuhan.
T9 1285-1479 DRI_Outcome denotes Conclusions: Our early estimates suggest that the CFR of COVID-19 is lower than the previous coronavirus epidemics caused by SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV).