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

Cécile Kremer¹, Tapiwa Ganyani¹, Dongxuan Chen^{2

3}, Andrea Torneri⁴, Christel Faes¹, Jacco Wallinga^{2

3}, Niel Hens^{1

4}

Affiliations

¹ I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
² Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
³ Leiden University Medical Center, Leiden, the Netherlands.
⁴ Centre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.

Comment

Cécile Kremer et al. Euro Surveill. 2020 Jul.

. 2020 Jul;25(29):2001269.

doi: 10.2807/1560-7917.ES.2020.25.29.2001269.

Cécile Kremer¹, Tapiwa Ganyani¹, Dongxuan Chen^{2

3}, Andrea Torneri⁴, Christel Faes¹, Jacco Wallinga^{2

3}, Niel Hens^{1

4}

¹ I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
² Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
³ Leiden University Medical Center, Leiden, the Netherlands.
⁴ Centre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.

No abstract available

Keywords: COVID-19; assumptions; generation interval; likelihood; serial interval.

Conflict of interest statement

Conflict of interest: None declared.

Letter to the editor: Generation interval for COVID-19 based on symptom onset data.
Bacallado S, Zhao Q, Ju N. Bacallado S, et al. Euro Surveill. 2020 Jul;25(29):2001381. doi: 10.2807/1560-7917.ES.2020.25.29.2001381. Euro Surveill. 2020. PMID: 32720635 Free PMC article. No abstract available.

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