Simulation results from an agent-based epidemic spreading model inlcuding psychosocial side-effects of school closures
Description
This dataset was created within a research project on the preparedness for future pandemic crises (see funding information). It is intended to support the reproducibility of scientific results and to enable further research based on the published data.
The dataset was generated using an agent-based simulation model combined with additional outcomes research data on the psychosocial well-being of school children during school closures. It contains simulation results for different school closure scenarios during the COVID-19 pandemic in Austria, each representing a specific intervention configuration and linked to either the 2020 or 2021 time period during the pandemic.
The repository consists of three main files. scenarios.csv provides an overview of all simulation scenarios. description.pdf documents the structure and content of the simulation output files. data.zip contains the simulation output as CSV files, organized in subfolders corresponding to the scenarios listed in scenarios.csv.
The dataset is described in detail in “Balancing epidemic containment and psychosocial effects: integrated outcomes research and simulation reveals the harm-benefit landscape of school closures” (to be submitted for publication). Technical information on the underlying simulation model is provided in Model Documentation.
Files
data.zip
Additional details
Related works
- Is documented by
- Documentation: https://github.com/dwhGmbH/condgan-for-abm/blob/main/Covid19_Model-20230322.pdf (URL)
Funding
- Vienna Science and Technology Fund
- Being Equipped to Tackle Epidemics Right LS22-071