This page presents detailed model outputs associated with the following article:
Estimating the impact of school closures on the COVID-19 dynamics in 74 countries: a modelling analysis.
Romain Ragonnet, Angus E Hughes, David S Shipman, Michael T Meehan, Alec S Henderson, Guillaume Briffoteaux, Nouredine Melab, Daniel Tuyttens, Emma S McBryde, James M Trauer.
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Selected country: Moldova, Republic of
Selected analysis: SA1: Increased household transmission during closures
- The first panel presents a scenario comparison based on the maximum a-posteriori parameter set.
- The second and third panels present the uncertainty around the estimated epidemic trajectories, as median (black lines), interquartile range (dark shade) and 95% credible interval (light shade).
Relative outcomes
- Positive values indicate a positive effect of school closures on the relevant indicator.
- Negative values indicate that school closures exacerbated the relevant COVID-19 indicator..
|
N infections averted |
% infections averted |
% hospital peak reduction |
N deaths averted |
% deaths averted |
| percentile |
|
|
|
|
|
| 2.5% |
-770150 |
-11.7 |
-50.0 |
-3392 |
-31.6 |
| 25.0% |
-161640 |
-2.5 |
-0.5 |
-1265 |
-10.9 |
| 50.0% |
2800 |
0.0 |
6.8 |
-338 |
-2.8 |
| 75.0% |
191326 |
3.0 |
32.9 |
885 |
5.8 |
| 97.5% |
1041006 |
16.0 |
75.1 |
5820 |
32.7 |