Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020

Ng, Sheryl Hui-Xian; Kaur, Palvinder; Kremer, Cécile; Tan, Woan Shin; Tan, Aidan Lyanzhiang; Hens, Niel; Toh, Matthias Paul; Teow, Kiok Liang; Kannapiran, Palvannan

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Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020

Supporting Files Public Domain

Feb 2021
By Ng, Sheryl Hui-Xian ; Kaur, Palvinder ; Kremer, Cécile ; ...

File Language:

English

Details

Alternative Title:

Emerg Infect Dis
Personal Author:

Ng, Sheryl Hui-Xian ; Kaur, Palvinder ; Kremer, Cécile ; Tan, Woan Shin ; Tan, Aidan Lyanzhiang ; Hens, Niel ; Toh, Matthias Paul ; Teow, Kiok Liang ; Kannapiran, Palvannan
Description:

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.
Subjects:

Cluster Analysis Coronavirus Infections COVID-19 Cross-Sectional Studies Disease Transmission, Infectious Humans Infectious Disease Incubation Period Models, Statistical Symptom Assessment Time Factors
Source:

Emerg Infect Dis. 27(2):582-585
Pubmed ID:

33496243
Pubmed Central ID:

PMC7853533
Document Type:

Journal Article
Place as Subject:

Singapore
Location:

Asia
Volume:

27
Issue:

2
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

urn:sha256:61ef73a5aa49dd42b6cd505aa86daef16cf0cb2c486646d6c6f015e2814479fb
Download URL:

https://stacks.cdc.gov/view/cdc/102460/cdc_102460_DS1.pdf
File Type:

[PDF - 511.00 KB ]

File Language:

English

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