Modeling strict age-targeted mitigation strategies for COVID-19.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 32706809.
- Also identified by DOI 10.1371/journal.pone.0236237 and PMC identifier 7380601.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We use a simple SIR-like epidemic model integrating known age-contact patterns for the United States to model the effect of age-targeted mitigation strategies for a COVID-19-like epidemic. We find that, among strategies which end with population immunity, strict age-targeted mitigation strategies have the potential to greatly reduce mortalities and ICU utilization for natural parameter choices.
Medical subject headings
- Age Factors
- Coronavirus Infections
- Models, Theoretical
- Pandemics
- Pneumonia, Viral