Created by Arran Hamlet, Erik Volz, Daniel Laydon, Rich FitzJohn, Yuanrong (Raymond) Wang, Steven Riley, Sabine van Elsland, Han Fu, Wes Hinsley, Marc Baguelin, Adhiratha Boonyasiri, Min Kwun, Ilaria Dorigatti, Caroline Walters, Natsuko Imai, Gemma Nedjati-Gilani, Lucy Okell, Xiaoyue Xi, Gina Cuomo-Dannenburg, Katy Gaythorpe, Sangeeta Bhatia, Azra Ghani, Haowei Wang, Anne Cori, Christl Donnelly, Neil Ferguson, Nan Hong and Zulma Cucunubá
Description:
Data attached to report 4 from Modeling reports published periodically by Imperial College, data on the characteristics of 39 cases who died from 2019-nCov infection in Hubei Province were collected and compiled from different websites. The dataset is available in CSV and contains the age, sex, date of symptoms onset, date of hopsitalization and date of death.
Preview:
https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/disease-areas/covid-19/report-4-severity-of-covid-19/This site was available on the date of the last automated link check. (2026/02/22)
| Identifier | URL: https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/disease-areas/covid-19/report-4-severity-of-covid-19/ |
| Type | Data Set |
| Topics/About | |
| Language | English |
| License | CC BY-NC-ND 4.0 |
| Accessible For Free | TRUE |
| Biological Scale | population |
| Geographical Scope | Hubei Sheng, People's Republic of China |
| Geographical Resolution | Prefecture, Province |
| Start Date | 2020/01/09 |
| End Date | 2020/01/24 |
| File Format | CSV |
| Version | unspecified |
| HTTP Status Code | 200 |
| HTTP Checked On | 2026/02/22 |