Please use this identifier to cite or link to this item:
https://doi.org/10.3201/eid2702.203018
| 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, Cecile Tan, Woan Shin Tan, Aidan Lyanzhiang Hens, Niel Toh, Matthias Paul Teow, Kiok Liang Kannapiran, Palvannan |
Issue Date: | 1-Feb-2021 | Publisher: | Centers for Disease Control and Prevention (CDC) | Citation: | Ng, Sheryl Hui-Xian, Kaur, Palvinder, Kremer, Cecile, Tan, Woan Shin, Tan, Aidan Lyanzhiang, Hens, Niel, Toh, Matthias Paul, Teow, Kiok Liang, Kannapiran, Palvannan (2021-02-01). Estimating transmission parameters for COVID-19 clusters by using symptom onset data, Singapore, January-April 2020. Emerging Infectious Diseases 27 (2) : 582-585. ScholarBank@NUS Repository. https://doi.org/10.3201/eid2702.203018 | Rights: | Attribution 4.0 International | 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. © 2021 Centers for Disease Control and Prevention (CDC). All rights reserved. | Source Title: | Emerging Infectious Diseases | URI: | https://scholarbank.nus.edu.sg/handle/10635/232525 | ISSN: | 1080-6040 | DOI: | 10.3201/eid2702.203018 | Rights: | Attribution 4.0 International |
| Appears in Collections: | Elements Staff Publications |
Show full item record
Files in This Item:
| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| 10_3201_eid2702_203018.pdf | 511 kB | Adobe PDF | OPEN | None | View/Download |
This item is licensed under a Creative Commons License
