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De-Escalation by Reversing the Escalation with a Stronger Synergistic Package of Contact Tracing, Quarantine, Isolation and Personal Protection: Feasibility of Preventing a COVID-19 Rebound in Ontario, Canada, as a Case Study.

Biao TangFrancesca ScarabelNicola Luigi BragazziZachary McCarthyMichael GlazerYanyu XiaoJane M HeffernanAli AsgaryNicholas Hume OgdenJianhong Wu
Published in: Biology (2020)
Since the beginning of the COVID-19 pandemic, most Canadian provinces have gone through four distinct phases of social distancing and enhanced testing. A transmission dynamics model fitted to the cumulative case time series data permits us to estimate the effectiveness of interventions implemented in terms of the contact rate, probability of transmission per contact, proportion of isolated contacts, and detection rate. This allows us to calculate the control reproduction number during different phases (which gradually decreased to less than one). From this, we derive the necessary conditions in terms of enhanced social distancing, personal protection, contact tracing, quarantine/isolation strength at each escalation phase for the disease control to avoid a rebound. From this, we quantify the conditions needed to prevent epidemic rebound during de-escalation by simply reversing the escalation process.
Keyphrases
  • open label
  • healthcare
  • coronavirus disease
  • mental health
  • randomized controlled trial
  • systematic review
  • physical activity
  • clinical trial
  • electronic health record
  • drug delivery
  • deep learning
  • data analysis