Model-based estimates of age-structured SARS-CoV-2 epidemiology in households
We disentangled several factors contributing to age-specific infection risk, including non-household exposure, within-household exposure to specific age groups, and household size. Within-household contact rate differences played a significant role in driving household transmission epidemiology. These findings provide nuanced insights for understanding community outbreak patterns and mechanisms of differential infection risk.
Authors
- Nathan Seegert (ORCID: https://orcid.org/0000-0002-0862-1181)
- Theresa R. Sheets
- Sharia M. Ahmed (ORCID: https://orcid.org/0000-0002-4060-5712)
- Damon Toth (ORCID: https://orcid.org/0000-0001-7393-4814)
- Lindsay T. Keegan (ORCID: https://orcid.org/0000-0002-8526-3007)
- Matthew H. Samore (ORCID: https://orcid.org/0000-0002-4862-9196)
- Jay Love (ORCID: https://orcid.org/0000-0002-9371-2466)
- Alexander B. Beams (ORCID: https://orcid.org/0000-0002-6656-0217)
Institutions
- Simon Fraser University (CA)
- University of Utah (US)
- VA Salt Lake City Healthcare System (US)
Publication Details
- Journal
- BMC Public Health
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1186/s12889-024-20308-z
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Pfizer
- ARUP Laboratories
- Centers for Disease Control and Prevention