Predictors of Long COVID Among Symptomatic US Adults Testing Positive for SARS-CoV-2 at a National Retail Pharmacy
A predictive model for long COVID was developed for an outpatient setting. This research could help differentiate at-risk groups and target interventions.
Authors
- Laura Puzniak (ORCID: https://orcid.org/0000-0001-8697-9683)
- Santiago M. C. Lopez (ORCID: https://orcid.org/0000-0001-7714-1707)
- Xiaowu Sun (ORCID: https://orcid.org/0000-0002-7960-4207)
- Manuela Di Fusco (ORCID: https://orcid.org/0000-0003-0079-7331)
- Kristen E. Allen (ORCID: https://orcid.org/0000-0003-1116-6789)
- Mary B. Alvarez
- Alon Yehoshua (ORCID: https://orcid.org/0009-0009-2920-916X)
- Joseph C. Cappelleri (ORCID: https://orcid.org/0000-0001-9586-0748)
- Laura Lupton
Institutions
- Pfizer (United States) (US)
- CVS Health (United States) (US)
Publication Details
- Journal
- Healthcare
- Published
- 2024-11-21
- DOI
- https://doi.org/10.3390/healthcare12232321
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Pfizer
- CVS Health