Cargando…
Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province
The 2019 coronavirus disease (COVID-19) is pseudonymously linked to more than 100 million cases in the world as of January 2021. High-quality data are needed but lacking in the understanding of and fighting against COVID-19. We provide a complete and updating hand-coded line-list dataset containing...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864941/ https://www.ncbi.nlm.nih.gov/pubmed/33547315 http://dx.doi.org/10.1038/s41597-021-00844-8 |
_version_ | 1783647745948516352 |
---|---|
author | Liu, Xiao Fan Xu, Xiao-Ke Wu, Ye |
author_facet | Liu, Xiao Fan Xu, Xiao-Ke Wu, Ye |
author_sort | Liu, Xiao Fan |
collection | PubMed |
description | The 2019 coronavirus disease (COVID-19) is pseudonymously linked to more than 100 million cases in the world as of January 2021. High-quality data are needed but lacking in the understanding of and fighting against COVID-19. We provide a complete and updating hand-coded line-list dataset containing detailed information of the cases in China and outside the epicenter in Hubei province. The data are extracted from public disclosures by local health authorities, starting from January 19. This dataset contains a very rich set of features for the characterization of COVID-19’s epidemiological properties, including individual cases’ demographic information, travel history, potential virus exposure scenario, contacts with known infections, and timelines of symptom onset, quarantine, infection confirmation, and hospitalization. These cases can be considered the baseline COVID-19 transmissibility under extreme mitigation measures, and therefore, a reference for comparative scientific investigation and public policymaking. |
format | Online Article Text |
id | pubmed-7864941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78649412021-02-16 Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province Liu, Xiao Fan Xu, Xiao-Ke Wu, Ye Sci Data Data Descriptor The 2019 coronavirus disease (COVID-19) is pseudonymously linked to more than 100 million cases in the world as of January 2021. High-quality data are needed but lacking in the understanding of and fighting against COVID-19. We provide a complete and updating hand-coded line-list dataset containing detailed information of the cases in China and outside the epicenter in Hubei province. The data are extracted from public disclosures by local health authorities, starting from January 19. This dataset contains a very rich set of features for the characterization of COVID-19’s epidemiological properties, including individual cases’ demographic information, travel history, potential virus exposure scenario, contacts with known infections, and timelines of symptom onset, quarantine, infection confirmation, and hospitalization. These cases can be considered the baseline COVID-19 transmissibility under extreme mitigation measures, and therefore, a reference for comparative scientific investigation and public policymaking. Nature Publishing Group UK 2021-02-05 /pmc/articles/PMC7864941/ /pubmed/33547315 http://dx.doi.org/10.1038/s41597-021-00844-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Liu, Xiao Fan Xu, Xiao-Ke Wu, Ye Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province |
title | Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province |
title_full | Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province |
title_fullStr | Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province |
title_full_unstemmed | Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province |
title_short | Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province |
title_sort | mobility, exposure, and epidemiological timelines of covid-19 infections in china outside hubei province |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864941/ https://www.ncbi.nlm.nih.gov/pubmed/33547315 http://dx.doi.org/10.1038/s41597-021-00844-8 |
work_keys_str_mv | AT liuxiaofan mobilityexposureandepidemiologicaltimelinesofcovid19infectionsinchinaoutsidehubeiprovince AT xuxiaoke mobilityexposureandepidemiologicaltimelinesofcovid19infectionsinchinaoutsidehubeiprovince AT wuye mobilityexposureandepidemiologicaltimelinesofcovid19infectionsinchinaoutsidehubeiprovince |