Simulation results from an agent-based epidemic spreading model inlcuding psychosocial side-effects of school closures

DOI

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.

Identifier
DOI https://doi.org/10.48436/vhjeq-4my74
Related Identifier IsDocumentedBy https://github.com/dwhGmbH/condgan-for-abm/blob/main/Covid19_Model-20230322.pdf
Related Identifier IsVersionOf https://doi.org/10.48436/cdcm7-daa81
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:vhjeq-4my74
Provenance
Creator Schneckenreither, Günter ORCID logo; Bicher, Martin ORCID logo; Urach, Christoph; Zauner, Günther; Popper, Nikolas ORCID logo
Publisher TU Wien
Publication Year 2026
Funding Reference Vienna Science and Technology Fund 01f9mc681 ROR LS22-071 Being Equipped to Tackle Epidemics Right
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Language English
Resource Type Dataset
Discipline Other