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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 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 in English | MEDLINE | ID: covidwho-688903
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational study Limits: Humans Language: English Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: 1560-7917.ES.2020.25.29.2001269

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational study Limits: Humans Language: English Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: 1560-7917.ES.2020.25.29.2001269