Effectiveness of Containment Measures Against COVID-19 in Singapore: Implications for Other National Containment Efforts. Issue 1 (January 2021)
- Record Type:
- Journal Article
- Title:
- Effectiveness of Containment Measures Against COVID-19 in Singapore: Implications for Other National Containment Efforts. Issue 1 (January 2021)
- Main Title:
- Effectiveness of Containment Measures Against COVID-19 in Singapore
- Authors:
- Pung, Rachael
Cook, Alex R.
Chiew, Calvin J.
Clapham, Hannah E.
Sun, Yinxiaohe
Li, Zongbin
Dickens, Borame L.
Ma, Stefan
Mak, Kenneth
Tan, Chorh Chuan
Heng, Derrick
Chen, Mark I-Cheng
Lee, Vernon J. - Abstract:
- Abstract : Background: We hypothesize that comprehensive surveillance of COVID-19 in Singapore has facilitated early case detection and prompt contact tracing and, with community-based measures, contained spread. We assessed the effectiveness of containment measures by estimating transmissibility (effective reproduction number, ) over the course of the outbreak. Methods: We used a Bayesian data augmentation framework to allocate infectors to infectees with no known infectors and determine serial interval distribution parameters via Markov chain Monte Carlo sampling. We fitted a smoothing spline to the number of secondary cases generated by each infector by respective onset dates to estimate and evaluated increase in mean number of secondary cases per individual for each day's delay in starting isolation or quarantine. Results: As of April 1, 2020, 1000 COVID-19 cases were reported in Singapore. We estimated a mean serial interval of 4.6 days [95% credible interval (CI) = 4.2, 5.1] with a SD of 3.5 days (95% CI = 3.1, 4.0). The posterior mean was below one for most of the time, peaking at 1.1 (95% CI = 1.0, 1.3) on week 9 of 2020 due to a spreading event in one of the clusters. Eight hundred twenty-seven (82.7%) of cases infected less than one person on average. Over an interval of 7 days, the incremental mean number of cases generated per individual for each day's delay in starting isolation or quarantine was 0.03 cases (95% CI = 0.02, 0.05). Conclusions: We estimate thatAbstract : Background: We hypothesize that comprehensive surveillance of COVID-19 in Singapore has facilitated early case detection and prompt contact tracing and, with community-based measures, contained spread. We assessed the effectiveness of containment measures by estimating transmissibility (effective reproduction number, ) over the course of the outbreak. Methods: We used a Bayesian data augmentation framework to allocate infectors to infectees with no known infectors and determine serial interval distribution parameters via Markov chain Monte Carlo sampling. We fitted a smoothing spline to the number of secondary cases generated by each infector by respective onset dates to estimate and evaluated increase in mean number of secondary cases per individual for each day's delay in starting isolation or quarantine. Results: As of April 1, 2020, 1000 COVID-19 cases were reported in Singapore. We estimated a mean serial interval of 4.6 days [95% credible interval (CI) = 4.2, 5.1] with a SD of 3.5 days (95% CI = 3.1, 4.0). The posterior mean was below one for most of the time, peaking at 1.1 (95% CI = 1.0, 1.3) on week 9 of 2020 due to a spreading event in one of the clusters. Eight hundred twenty-seven (82.7%) of cases infected less than one person on average. Over an interval of 7 days, the incremental mean number of cases generated per individual for each day's delay in starting isolation or quarantine was 0.03 cases (95% CI = 0.02, 0.05). Conclusions: We estimate that robust surveillance, active case detection, prompt contact tracing, and quarantine of close contacts kept below one. Abstract : Supplemental Digital Content is available in the text. … (more)
- Is Part Of:
- Epidemiology. Volume 32:Issue 1(2021)
- Journal:
- Epidemiology
- Issue:
- Volume 32:Issue 1(2021)
- Issue Display:
- Volume 32, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 32
- Issue:
- 1
- Issue Sort Value:
- 2021-0032-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Bayesian -- COVID-19 -- Reproduction number -- Modeling -- Outbreak containment
Epidemiology -- Periodicals
Epidemiology -- Environmental aspects -- Periodicals
Epidemiology -- Periodicals
614.405 - Journal URLs:
- http://journals.lww.com ↗
http://journals.lww.com/epidem/Pages/default.aspx ↗ - DOI:
- 10.1097/EDE.0000000000001257 ↗
- Languages:
- English
- ISSNs:
- 1044-3983
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3793.574000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21909.xml