1. Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020
- Author
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Woan Shin Tan, Palvannan Kannapiran, Palvinder Kaur, Sheryl Hui Xian Ng, Matthias Paul Han Sim Toh, Niel Hens, Cécile Kremer, Aidan Lyanzhiang Tan, and Kiok Liang Teow
- Subjects
Microbiology (medical) ,2019-20 coronavirus outbreak ,medicine.medical_specialty ,Time Factors ,Coronavirus disease 2019 (COVID-19) ,Interval distribution ,Epidemiology ,Cross-sectional study ,lcsh:Medicine ,lcsh:Infectious and parasitic diseases ,Infectious Disease Incubation Period ,law.invention ,respiratory infections ,03 medical and health sciences ,0302 clinical medicine ,law ,Disease Transmission, Infectious ,Cluster Analysis ,Humans ,Medicine ,lcsh:RC109-216 ,viruses ,030212 general & internal medicine ,Symptom onset ,030304 developmental biology ,Singapore ,0303 health sciences ,Models, Statistical ,High prevalence ,Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020 ,SARS-CoV-2 ,business.industry ,lcsh:R ,Dispatch ,COVID-19 ,zoonoses ,3. Good health ,Cross-Sectional Studies ,Infectious Diseases ,Transmission (mechanics) ,coronavirus disease ,Human medicine ,Symptom Assessment ,business ,severe acute respiratory syndrome coronavirus 2 ,Demography - 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.
- Published
- 2021
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