Estimation of instant case fatality rate of COVID-19 in Wuhan and Hubei based on daily case notification data
Cao, L.; Huang, T.-t.; Zhang, J.-x.; Qin, Q.; Liu, S.-y.; Xue, H.-m.; Gong, Y.-x.; Ning, C.-h.; Shen, X.-t.; Yang, J.-x.; Mi, Y.-n.; Xiao, X.; Cao, Y.
Show abstract
BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) initially appeared and has most rapidly spread in Wuhan, China. The case fatality rate is the most direct indicator to assess the hazards of an infectious disease. We aimed to estimate the instant fatality rate and cure rate of COVID-19 in Wuhan City and its affiliated Hubei Province. MethodsWe collected the daily case notification data of COVID-19 from Dec 8, 2019 to Mar 10, 2020 in Wuhan City and Hubei Province officially announced by the Chinese authority. The numbers of daily confirmed/deaths/cured cases and the numbers of daily cumulative confirmed/deaths/cured cases were obtained. The death time and cure time of COVID-19 patients were calculated based on the dates of diagnosis, death and discharge of individual cases. Then the estimated diagnosis dates of deaths and cured cases were obtained on the basis of the median death or medium cure time, respectively. Finally, the instant fatality rate of COVID-19 was calculated according to the numbers of deaths and cured cases on the same estimated diagnosis dates. ResultsFrom Jan 1, 2020 to Feb 22, 2020 in Wuhan City, the instant case fatality rate of COVID-19 was 3.4%[~]19.5% and the instant cured rate was 80.0%[~]96.6%. The average fatality rate reached 11.4% while the average cure rate was 88.6%. During the same period in Hubei Province, the instant case fatality rate was 3.8%[~]16.6% and the instant cured rate was 83.4%[~]96.6%. The average fatality rate and the average cure rate were 9.2% and 91.8%, respectively. ConclusionsThe fatality rate and cure rate of COVID-19 in Wuhan City and Hubei Province were underestimated. Wuhan showed higher fatality rate and cure rate than the whole Hubei Province did.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China 95%
- Time series cross-correlation between home range and number of infected people during the medium-term of the COVID-19 pandemic in a suburban city 94%
- Modeling and Prediction of the 2019 Coronavirus Disease Spreading in China Incorporating Human Migration Data 94%
Similar papers in this journal
- A Novel Triage Tool of Artificial Intelligence-Assisted Diagnosis Aid System for Suspected COVID-19 Pneumonia in Fever Clinics 95%
- Application of Telemedicine During the Coronavirus Disease Epidemics: A Rapid Review and Meta-Analysis 93%
- A follow-up study of children infected with SARS-CoV-2 from Western China 92%
Similar papers in this journal
- Upregulation of ARHGAP9 is correlated with poor prognosis and immune infiltration in clear cell renal cell carcinoma 93%
- The PBL teaching method in Neurology Education in the Traditional Chinese Medicine undergraduate students: An Observational Study 92%
- The Impact of Coronavirus Disease 2019 (COVID-19) on Liver Injury in China: A Systematic Review and Meta-analysis 92%
Similar papers in this journal
- Ascertainment rate of novel coronavirus disease (COVID-19) in Japan 95%
- Live poultry feeding and trading network and the transmission of avian influenza A(H5N6) virus in a large city in China, 2014-2015 95%
- Lockdown may partially halt the spread of 2019 novel coronavirus in Hubei province, China 94%
Similar papers in this journal
- What is required to prevent a second major outbreak of the novel coronavirus SARS-CoV-2 upon lifting the metropolitan-wide quarantine of Wuhan city, China 95%
- Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China 94%
- Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.