All Models Are Wrong, But Can They Be Useful? Lessons from COVID-19 Agent-Based Models (ABMs): A Systematic Review (2020-2023)

This repository contains the dataset from a systematic review of 536 COVID-19 ABM studies published between January 2020 and December 2023. Articles were retrieved from Web of Science, PubMed, and Wiley on January 30, 2024.

Studies were included if they applied ABMs to simulate COVID-19 transmission. Non-COVID-19 models and review papers were excluded. Each study was evaluated against nine criteria of model usefulness, covering transparency and re-use, interdisciplinary collaboration and stakeholder engagement, and evaluation practices.

Repository Contents

• all_data.csv → Systematically extracted data from all 536 studies
• available_model_codes.xlsx → Links to available model codes from the reviewed studies

Acknowledgement

This research was funded by National Science Foundation (Award #2109647 and #230970).

Contact

For any questions or further information, please contact Emma Von Hoene at evonhoen@gmu.edu.