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...

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Detalles Bibliográficos
Autores principales: Du, Zhanwei, Xu, Xiaoke, Wu, Ye, Wang, Lin, Cowling, Benjamin J., Meyers, Lauren Ancel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
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
Descripción
Sumario: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.

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