Cargando…
COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities
As a novel coronavirus (COVID-19) continues to spread widely and claim lives worldwide, its transmission characteristics remain uncertain. Here, we present and analyze the serial intervals–the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a second...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276043/ https://www.ncbi.nlm.nih.gov/pubmed/32511616 http://dx.doi.org/10.1101/2020.04.23.20075796 |
_version_ | 1783542883334225920 |
---|---|
author | Du, Zhanwei Xu, Xiaoke Wu, Ye Wang, Lin Cowling, Benjamin J. Meyers, Lauren Ancel |
author_facet | Du, Zhanwei Xu, Xiaoke Wu, Ye Wang, Lin Cowling, Benjamin J. Meyers, Lauren Ancel |
author_sort | Du, Zhanwei |
collection | PubMed |
description | As a novel coronavirus (COVID-19) continues to spread widely and claim lives worldwide, its transmission characteristics remain uncertain. Here, we present and analyze the serial intervals–the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a secondary (infectee) case–of 339 confirmed cases of COVID-19 identified from 264 cities in mainland China prior to February 19, 2020. Here, we provide the complete dataset in both English and Chinese to support further COVID-19 research and modeling efforts. |
format | Online Article Text |
id | pubmed-7276043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-72760432020-06-07 COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities Du, Zhanwei Xu, Xiaoke Wu, Ye Wang, Lin Cowling, Benjamin J. Meyers, Lauren Ancel medRxiv Article As a novel coronavirus (COVID-19) continues to spread widely and claim lives worldwide, its transmission characteristics remain uncertain. Here, we present and analyze the serial intervals–the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a secondary (infectee) case–of 339 confirmed cases of COVID-19 identified from 264 cities in mainland China prior to February 19, 2020. Here, we provide the complete dataset in both English and Chinese to support further COVID-19 research and modeling efforts. Cold Spring Harbor Laboratory 2020-04-27 /pmc/articles/PMC7276043/ /pubmed/32511616 http://dx.doi.org/10.1101/2020.04.23.20075796 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/It is made available under a CC-BY-NC-ND 4.0 International license (http://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Article Du, Zhanwei Xu, Xiaoke Wu, Ye Wang, Lin Cowling, Benjamin J. Meyers, Lauren Ancel COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities |
title | COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities |
title_full | COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities |
title_fullStr | COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities |
title_full_unstemmed | COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities |
title_short | COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities |
title_sort | covid-19 serial interval estimates based on confirmed cases in public reports from 86 chinese cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276043/ https://www.ncbi.nlm.nih.gov/pubmed/32511616 http://dx.doi.org/10.1101/2020.04.23.20075796 |
work_keys_str_mv | AT duzhanwei covid19serialintervalestimatesbasedonconfirmedcasesinpublicreportsfrom86chinesecities AT xuxiaoke covid19serialintervalestimatesbasedonconfirmedcasesinpublicreportsfrom86chinesecities AT wuye covid19serialintervalestimatesbasedonconfirmedcasesinpublicreportsfrom86chinesecities AT wanglin covid19serialintervalestimatesbasedonconfirmedcasesinpublicreportsfrom86chinesecities AT cowlingbenjaminj covid19serialintervalestimatesbasedonconfirmedcasesinpublicreportsfrom86chinesecities AT meyerslaurenancel covid19serialintervalestimatesbasedonconfirmedcasesinpublicreportsfrom86chinesecities |