Review of human behavior integration in COVID-19 modeling studies
Our review highlights a substantial gap in the incorporation of behavioral components into COVID-19 modeling studies. Limited models rely on databases, potentially compromising accuracy in reflecting the dynamic nature of human behavior. Our findings emphasize the necessity for future models to engage more deeply with behavioral sciences to enhance epidemiological modeling.
Authors
- Doris F. Chang (ORCID: https://orcid.org/0000-0002-3012-6881)
- Hesam Mahmoudi (ORCID: https://orcid.org/0000-0002-9524-6534)
- Mohammad S. Jalali (ORCID: https://orcid.org/0000-0001-6769-2732)
- Hannah Lee (ORCID: https://orcid.org/0009-0006-8803-0694)
Institutions
- Center for Assessment (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Journal of Public Health
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1093/pubmed/fdaf082
- Citations
- 2
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 2.74
Funders
- National Science Foundation