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Risk scorecard to minimize impact of COVID-19 when reopening.
Lim, Shin B; Pung, Rachael; Tan, Kellie; Lang, Jocelyn H S; Yong, Dominique Z X; Teh, Shi-Hua; Quah, Elizabeth; Sun, Yinxiaohe; Ma, Stefan; Lee, Vernon J M.
  • Lim SB; Ministry of Health, Singapore.
  • Pung R; Ministry of Health, Singapore.
  • Tan K; London School of Hygiene and Tropical Medicine, UK.
  • Lang JHS; Ministry of Health, Singapore.
  • Yong DZX; Ministry of Health, Singapore.
  • Teh SH; Ministry of Health, Singapore.
  • Quah E; Ministry of Health, Singapore.
  • Sun Y; Ministry of Health, Singapore.
  • Ma S; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Lee VJM; Ministry of Health, Singapore.
J Travel Med ; 28(7)2021 10 11.
Article in English | MEDLINE | ID: covidwho-1470160
ABSTRACT

BACKGROUND:

We present a novel approach for exiting coronavirus disease 2019 (COVID-19) lockdowns using a 'risk scorecard' to prioritize activities to resume whilst allowing safe reopening.

METHODS:

We modelled cases generated in the community/week, incorporating parameters for social distancing, contact tracing and imported cases. We set thresholds for cases and analysed the effect of varying parameters. An online tool to facilitate country-specific use including the modification of parameters (https//sshsphdemos.shinyapps.io/covid_riskbudget/) enables visualization of effects of parameter changes and trade-offs. Local outbreak investigation data from Singapore illustrate this.

RESULTS:

Setting a threshold of 0.9 mean number of secondary cases arising from a case to keep R < 1, we showed that opening all activities excluding high-risk ones (e.g. nightclubs) allows cases to remain within threshold; while opening high-risk activities would exceed the threshold and result in escalating cases. An 80% reduction in imported cases per week (141 to 29) reduced steady-state cases by 30% (295 to 205). One-off surges in cases (due to superspreading) had no effect on the steady state if the R remains <1. Increasing the effectiveness of contact tracing (probability of a community case being isolated when infectious) by 33% (0.6 to 0.8) reduced cases by 22% (295 to 231). Cases grew exponentially if the product of the mean number of secondary cases arising from a case and (1-probability of case being isolated) was >1.

CONCLUSIONS:

Countries can utilize a 'risk scorecard' to balance relaxations for travel and domestic activity depending on factors that reduce disease impact, including hospital/ICU capacity, contact tracing, quarantine and vaccination. The tool enabled visualization of the combinations of imported cases and activity levels on the case numbers and the trade-offs required. For vaccination, a reduction factor should be applied both for likelihood of an infected case being present and a close contact getting infected.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal subject: Communicable Diseases / Public Health Year: 2021 Document Type: Article Affiliation country: Jtm

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal subject: Communicable Diseases / Public Health Year: 2021 Document Type: Article Affiliation country: Jtm