Authors' response: Estimating the generation interval for COVID-19 based on symptom onset data.

Kremer, Cécile; Ganyani, Tapiwa; Chen, Dongxuan; Torneri, Andrea; Faes, Christel; Wallinga, Jacco; Hens, Niel

Kremer, Cécile; Ganyani, Tapiwa; Chen, Dongxuan; Torneri, Andrea; Faes, Christel; Wallinga, Jacco; Hens, Niel.

Afiliación

Kremer C; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Ganyani T; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Chen D; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Torneri A; Leiden University Medical Center, Leiden, the Netherlands.
Faes C; Centre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Wallinga J; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Hens N; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.

Euro Surveill ; 25(29)2020 07.

Article en En | MEDLINE | ID: mdl-32720639

Asunto(s)

Betacoronavirus; Infecciones por Coronavirus/epidemiología; Pandemias; Neumonía Viral/epidemiología; COVID-19; Humanos; SARS-CoV-2

Palabras clave

COVID-19; assumptions; generation interval; likelihood; serial interval

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Pandemias / Betacoronavirus Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Euro Surveill Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2020 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Suecia

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