Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study
By J. Koo, Alex R. Cook, Minah Park, Yinxiaohe Sun, Haoyang Sun, Jue Tao Lim, C. Tam, B. Dickens. Lancet. Infectious Diseases (Print), 2020
679 citations recorded by the source corpus.
Background Since the coronavirus disease 2019 outbreak began in the Chinese city of Wuhan on Dec 31, 2019, 68 imported cases and 175 locally acquired infections have been reported in Singapore. We aimed to investigate options for early intervention in Singapore should local containment (eg, preventing disease spread through contact tracing efforts) be unsuccessful. Methods We adapted an influenza epidemic simulation model to estimate the likelihood of human-to-human transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a simulated Singaporean population. Using this model, we estimated the cumulative number of SARS-CoV-2 infections at 80 days, after detection of 100 cases of community transmission, under three infectivity scenarios (basic reproduction number [R0] of 1·5, 2·0, or 2·5) and assuming 7·5% of infections are asymptomatic. We first ran the model assuming no intervention was in place (baseline scenario), and then assessed the effect of four intervention scenarios compared with a baseline scenario on the size and progression of the outbreak for each R0 value. These scenarios included isolation measures for infected individuals and quarantining of family members (hereafter referred to as quarantine); quarantine plus school closure; quarantine plus workplace distancing; and quarantine, school closure, and workplace distancing (hereafter referred to as the combined intervention). We also did sensitivity analyses by altering the asymptomatic fraction of infections (22·7%, 30·0%, 40·0%, and 50·0%) to compare outbreak sizes under the same control measures. Findings For the baseline scenario, when R0 was 1·5, the median cumulative number of infections at day 80 was 279 000 (IQR 245 000–320 000), corresponding to 7·4% (IQR 6·5–8·5) of the resident population of Singapore. The median number of infections increased with higher infectivity: 727 000 cases (670 000–776 000) when R0 was 2·0, corresponding to 19·3% (17·8–20·6) of the Singaporean population, and 1 207 000 cases (1 164 000–1 249 000) when R0 was 2·5, corresponding to 32% (30·9–33·1) of the Singaporean population. Compared with the baseline scenario, the combined intervention was the most effective, reducing the estimated median number of infections by 99·3% (IQR 92·6–99·9) when R0 was 1·5, by 93·0% (81·5–99·7) when R0 was 2·0, and by 78·2% (59·0 −94·4) when R0 was 2·5. Assuming increasing asymptomatic fractions up to 50·0%, up to 277 000 infections were estimated to occur at day 80 with the combined intervention relative to 1800 for the baseline at R0 of 1·5. Interpretation Implementing the combined intervention of quarantining infected individuals and their family members, workplace distancing, and school closure once community transmission has been detected could substantially reduce the number of SARS-CoV-2 infections. We therefore recommend immediate deployment of this strategy if local secondary transmission is confirmed within Singapore. However, quarantine and workplace distancing should be prioritised over school closure because at this early stage, symptomatic children have higher withdrawal rates from school than do symptomatic adults from work. At higher asymptomatic proportions, intervention effectiveness might be substantially reduced requiring the need for effective case management and treatments, and preventive measures such as vaccines. Funding Singapore Ministry of Health, Singapore Population Health Improvement Centre.
Subfields: Clinical Psychology, Modeling and Simulation, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/037e1199314f2f1bd5f69a440d8ed4ffd922dc2b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Cameron Hepburn
- N. Stern
- Joseph E. Stiglitz
- Dimitri Zenghelis
- B. O’Callaghan
- Chris Hope
- Richard S. J. Tol
- Daron Acemoglu
Citations in the corpus
- Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change? (2020, background): “These restrictions have reduced the spread of the virus (Hou et al., 2020; Koo et al., 2020), but with severe economic consequences.”
- Quarantine alone or in combination with other public health measures to control COVID‐19: a rapid review (2020, neutral): “…2006; Fang 2020; Ferguson 2020; Fraser 2004; Geng 2020; Gumel 2004; Gupta 2005; Hamidouche 2020; Hoertel 2020; Hou 2020; Hsieh 2005; Hsieh 2007; Hu 2020; Koo 2020; Kucharski 2020; Lee 2020; Liu 2020b; LloydSmith 2003; Lytras 2020; Madubueze 2020; Mubayi 2010; Nishiura 2004; Pandey 2020; Pang 2003;…”