COVID-19 Mitigation Policy Metrics: Escalation and Recession Indicators
Explore proposed metrics for COVID-19 mitigation policy focusing on escalation and recession barriers, including positivity rates, new cases, and hospital operations in the THA Region/HRTS. Understand thresholds for escalation and recession based on various indicators to guide effective mitigation strategies.
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Presentation Transcript
Proposed Metrics for COVID-19 Mitigation Policy: Escalation and Recession
Metrics Recession Barrier Escalation Barrier Less than 5% daily averaged over the most recent 28 days Greater than 10% daily averaged over the most recent 28 days Positivity Rate 5 new cases per 100,000 residents daily averaged over the most recent 28 days 10 new cases per 100,000 residents daily averaged over the most recent 28 days New Cases THA Region/HRTS
Positivity Rate Recession Barrier: Less than 5% daily averaged over the most recent 28 days Escalation Barrier: Greater than 10% daily averaged over the most recent 28 days COVID-19 Percent Positive Tests 30.00% 25.00% 20.00% 15.00% 10.00% 5.00% 0.00% 25-Sep-20 11-Sep-20 18-Sep-20 12-Jun-20 19-Jun-20 26-Jun-20 10-Jul-20 Daily Pos % 17-Jul-20 24-Jul-20 31-Jul-20 2-Oct-20 9-Oct-20 3-Jul-20 1-May-20 8-May-20 4-Sep-20 5-Jun-20 16-Oct-20 7-Aug-20 14-Aug-20 21-Aug-20 28-Aug-20 15-May-20 22-May-20 29-May-20 23-Oct-20 30-Oct-20 28 day average
New Cases Recession Barrier: 5 new cases per 100,000 residents daily averaged over the most recent 28 days (this is an estimate of 23.5 cases per day) Escalation Barrier: 10 new cases per 100,000 residents daily averaged over the most recent 28 days (this is an estimate of 47 cases per day) New COVID-19 Cases per 100,000 Population 50 45 40 35 30 25 20 15 10 5 0 Cases per 100K 28-day trend per 100k
THA Region/HRTS Normal Hospital Operations Normal Hospital Operations, High Patient Volumes Normal Hospital Operations, High Patient Volumes that are Rising Normal Hospital Operations, High Patient Volumes that are Falling Normal Hospital Operations May Be Modified Due to Exceptionally High Patient Volumes