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COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities.


ABSTRACT: 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.

SUBMITTER: Du Z 

PROVIDER: S-EPMC7276043 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities.

Du Zhanwei Z   Xu Xiaoke X   Wu Ye Y   Wang Lin L   Cowling Benjamin J BJ   Meyers Lauren Ancel LA  

medRxiv : the preprint server for health sciences 20200427


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 sup  ...[more]

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