2023 journal article
Modeling impact of vaccination on COVID-19 dynamics in St. Louis
JOURNAL OF BIOLOGICAL DYNAMICS, 17(1).
author keywords: Modeling COVID-19 spread; St. Louis area; SafeGraph movement data; vaccination; differential equations
TL;DR:
This work investigates how human mobility, vaccination, and time-varying transmission rates influenced SARS-CoV-2 transmission in five counties in the St. Louis area and predicted the changes in disease spread under scenarios with increased vaccination coverage.
(via Semantic Scholar)
www.tandfonline.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: Web Of Science
Added: December 18, 2023
The region of St. Louis, Missouri, has displayed a high level of heterogeneity in COVID-19 cases, hospitalization, and vaccination coverage. We investigate how human mobility, vaccination, and time-varying transmission rates influenced SARS-CoV-2 transmission in five counties in the St. Louis area. A COVID-19 model with a system of ordinary differential equations was developed to illustrate the dynamics with a fully vaccinated class. Using the weekly number of vaccinations, cases, and hospitalization data from five counties in the greater St. Louis area in 2021, parameter estimation for the model was completed. The transmission coefficients for each county changed four times in that year to fit the model and the changing behaviour. We predicted the changes in disease spread under scenarios with increased vaccination coverage. SafeGraph local movement data were used to connect the forces of infection across various counties.