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.
Back to analysis selection index page
Selected country: Bosnia and Herzegovina
Selected analysis: Base case analysis
- 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% |
-669185 |
-13.0 |
-40.9 |
-3379 |
-21.1 |
| 25.0% |
-154143 |
-3.3 |
-0.5 |
-1331 |
-8.2 |
| 50.0% |
-20210 |
-0.5 |
4.0 |
-441 |
-2.7 |
| 75.0% |
72282 |
1.5 |
28.0 |
369 |
2.0 |
| 97.5% |
475265 |
8.4 |
73.9 |
2349 |
13.3 |