| Title: |
Epidemiological data from the COVID-19 outbreak, real-time case information |
| Authors: |
Xu, B; Gutierrez, B; Mekaru, S; Sewalk, K; Goodwin, L; Loskill, A; Cohn, EL; Hswen, Y; Hill, SC; Cobo, MM; Zarebski, AE; Li, S; Wu, C-H; Hulland, E; Morgan, JD; Wang, L; O'Brien, K; Scarpino, SV; Brownstein, JS; Pybus, OG; Pigott, DM; Kraemer, MUG |
| Publisher Information: |
Springer Nature |
| Publication Year: |
2023 |
| Collection: |
Oxford University Research Archive (ORA) |
| Description: |
Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1038/s41597-020-0448-0 |
| Availability: |
https://doi.org/10.1038/s41597-020-0448-0; https://ora.ox.ac.uk/objects/uuid:d06302a6-7cf9-4bc3-9349-e63c80048fa0 |
| Rights: |
info:eu-repo/semantics/openAccess ; CC Attribution (CC BY) |
| Accession Number: |
edsbas.51F40528 |
| Database: |
BASE |