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Real-time monitoring the transmission potential of COVID-19 in Singapore, March 2020.
Tariq, Amna; Lee, Yiseul; Roosa, Kimberlyn; Blumberg, Seth; Yan, Ping; Ma, Stefan; Chowell, Gerardo.
  • Tariq A; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA. atariq1@student.gsu.edu.
  • Lee Y; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.
  • Roosa K; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.
  • Blumberg S; F. I. Proctor Foundation, University of California, San Francisco, CA, USA.
  • Yan P; Infectious Disease Prevention and Control Branch, Public Health Agency of Canada, Ottawa, Canada.
  • Ma S; Epidemiology and Disease Control Division, Public Health Group, Ministry of Health Singapore, Singapore, Singapore.
  • Chowell G; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.
BMC Med ; 18(1): 166, 2020 06 03.
Article in English | MEDLINE | ID: covidwho-505623
ABSTRACT

BACKGROUND:

As of March 31, 2020, the ongoing COVID-19 epidemic that started in China in December 2019 is now generating local transmission around the world. The geographic heterogeneity and associated intervention strategies highlight the need to monitor in real time the transmission potential of COVID-19. Singapore provides a unique case example for monitoring transmission, as there have been multiple disease clusters, yet transmission remains relatively continued.

METHODS:

Here we estimate the effective reproduction number, Rt, of COVID-19 in Singapore from the publicly available daily case series of imported and autochthonous cases by date of symptoms onset, after adjusting the local cases for reporting delays as of March 17, 2020. We also derive the reproduction number from the distribution of cluster sizes using a branching process analysis that accounts for truncation of case counts.

RESULTS:

The local incidence curve displays sub-exponential growth dynamics, with the reproduction number following a declining trend and reaching an estimate at 0.7 (95% CI 0.3, 1.0) during the first transmission wave by February 14, 2020, while the overall R based on the cluster size distribution as of March 17, 2020, was estimated at 0.6 (95% CI 0.4, 1.02). The overall mean reporting delay was estimated at 6.4 days (95% CI 5.8, 6.9), but it was shorter among imported cases compared to local cases (mean 4.3 vs. 7.6 days, Wilcoxon test, p < 0.001).

CONCLUSION:

The trajectory of the reproduction number in Singapore underscores the significant effects of successful containment efforts in Singapore, but it also suggests the need to sustain social distancing and active case finding efforts to stomp out all active chains of transmission.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Med Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12916-020-01615-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Med Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12916-020-01615-9