From: The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
Model parameter | Input |
---|---|
On-campus population (N) | 7500 (assumption) |
Time horizon (weeks) | 18 weeks |
Disease dynamics a | |
Mean incubation time, 1/σ | 3 days [23] |
Mean asymptomatic infectious time (days), 1/φ | 10 days [22] |
Mean symptomatic infection time before detection and isolation (days), 1/γ | 3 days (accounting for 2-day pre-symptomatic period and 1-day test turnaround time) [23] |
Isolation time, 1/ρ (days) | 10 days [22] |
Proportion of infections that are symptomatic, α | 0.4 [18] |
Transmission rate, β | Dependent on Rt |
Baseline infectious rate (%) b | 3% [18] |
Baseline recovered rate (%) | |
Mitigation strategies throughout semester (Rt) c | |
Highly effective (best case) | 1.5 [5] |
Moderately effective (base case) | 2.5 [5] |
Ineffective (worst case) | 3.5 [5] |
Time-varying | Month 0: 4; Month 1: 2.5; Month 2+: 1.25 (assumption) |
Interventions | |
Test characteristics | |
Sensitivity (%) | |
Specificity (%) | 100% (assumption) |
Phased re-opening | |
Phase 1: Calendar time (months)/sub-population returning to campus | 0 months/2500 students (assumption) |
Phase 2: Calendar time (months)/sub-population returning to campus/cumulative population | 1 months/2500 students/5000 students (assumption) |
Phase 3: Calendar time (months)/sub-population returning to campus/cumulative population | 2 months/2500 students/7500 students (assumption) |