Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33915
Title: Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020
Authors: Ng, Sheryl Hui-Xian
Kaur, Palvinder
KREMER, Cécile 
Tan, Woan Shin
Tan, Aidan Lyanzhiang
HENS, Niel 
Toh, Matthias Paul
Teow, Kiok Liang
Kannapiran, Palvannan
Issue Date: 2021
Publisher: 
Source: EMERGING INFECTIOUS DISEASES, 27 (2) , p. 582 -585
Abstract: We estimated the generation interval distribution for coronavirus disease on the basis of serial intervals of observed infector–infectee pairs from established clusters in Singapore. The short mean generation interval and consequent high prevalence of presymptomatic transmission requires public health control measures to be responsive to these characteristics of the epidemic.
Keywords: COVID-19;SARS-CoV-2;Singapore;coronavirus disease;respiratory infections;severe acute respiratory syndrome coronavirus 2;viruses;zoonoses;Cluster Analysis;Cross-Sectional Studies;Disease Transmission, Infectious;Humans;Infectious Disease Incubation Period;Symptom Assessment;Models, Statistical;Time Factors
Document URI: http://hdl.handle.net/1942/33915
ISSN: 1080-6040
e-ISSN: 1080-6059
DOI: 10.3201/eid2702.203018
ISI #: WOS:000631538500031
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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