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COVID-19 hospitalizations and deaths averted under an accelerated vaccination program in northeastern and southern regions of the USA
UMB Dataset

Alternate Titles(s): COVID-19 Agent Based Model

UID: 186

Author(s): Thomas N. Vilches, Pratha Sah, Seyed M. Moghadas, Affan Shoukat, Meagan C. Fitzpatrick, Peter J. Hotez, Eric C. Schneider, Alison P. Galvani* * Corresponding Author
Description
An age-stratified agent-based model of COVID-19 was used to simulate outbreaks in states within two U. S. regions. The northeastern region consisted of Connecticut, Massachusetts, Maine, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island and Vermont. The southern region consisted of Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia and West Virginia. The model was calibrated using reported incidence of COVID-19 in each state from October 1, 2020 to August 31, 2021. It then projected the number of infections, hospitalizations, and deaths that would be averted between September 2021 and the end of March 2022, if states increased their daily vaccination rate.
Timeframe
2020 - 2022
Local Experts
Subject of Study
Subject Domain
Keywords
Access via GitHub

All data, parameters, and computational codes.

Access Restrictions
Unrestricted access
Access Instructions
All data, parameters, and the computational codes used for the study are available on GitHub. Supplementary material associated with this article can be found in the online version of the article at doi:10.1016/j.lana.2021.100147.
Associated Publications
Data Type
Software Used
Slurm
Study Type
Disease modeling
Dataset Format(s)
CSV, Plain Text, Julia
Grant Support
Commonwealth Fund/Commonwealth Fund
OV4 − 170643, COVID-19 Rapid Research/Canadian Institutes of Health Research
Mathematics for Public Health (MfPH)/Natural Sciences and Engineering Research Council of Canada
5 K01 AI141576/National Institutes of Health (U.S.)