Evaluating the Effect of Public Health and Social Measures Under Rapid Changes in Population-level Immunity Against SARS-CoV-2: A Mathematical Modeling Study
Our findings support the importance of incorporating underlying immunity in evaluating public health and social measures, particularly in the presence of substantial changes over a short period, such as widespread infections or vaccination. This model would stand as a tool for informing public health planning, capable of mitigating the overall disease burden in future epidemics.
Authors
- Sung-mok Jung (ORCID: https://orcid.org/0000-0002-0787-4515)
- Justin Lessler (ORCID: https://orcid.org/0000-0002-9741-8109)
- Jaehun Jung (ORCID: https://orcid.org/0000-0002-4856-3668)
Institutions
- University of North Carolina at Chapel Hill (US)
- Jungheinrich (Germany) (DE)
- Johns Hopkins University (US)
- Korea University (KR)
Publication Details
- Journal
- Epidemiology
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1097/ede.0000000000001846
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Disease Control and Prevention Agency
- Korea Health Industry Development Institute
- Centers for Disease Control and Prevention