File(s) stored somewhere else

Please note: Linked content is NOT stored on University of Illinois at Chicago and we can't guarantee its availability, quality, security or accept any liability.

A modified age-structured SIR model for COVID-19 type viruses

journal contribution
posted on 13.04.2022, 17:48 by Vishaal Ram, Laura P Schaposnik
AbstractWe present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contribute to the efficacy of age-specific contact and treatment measures. We consider the effect of relaxing restrictions across less vulnerable age-brackets, comparing results across selected groups of varying population parameters. Moreover, we analyze the mitigating effects of vaccinations and examine the effectiveness of age-targeted distributions. Lastly, we explore how our model can applied to other states to reflect social-distancing policy based on different parameters and metrics.

Funding

CAREER: Geometry and Physics of Higgs Bundles | Funder: National Science Foundation

CAREER: Branes in the Moduli Space of Higgs Bundles | Funder: National Science Foundation | Grant ID: DMS-1749013

History

Citation

Ram, V.Schaposnik, L. P. (2021). A modified age-structured SIR model for COVID-19 type viruses. Scientific Reports, 11(1), 15194-. https://doi.org/10.1038/s41598-021-94609-3

Publisher

Springer Science and Business Media LLC

Language

en

issn

2045-2322

Usage metrics

Categories

Licence

Exports