UMB Data Catalog

A project of the Health Sciences and Human Services Library
UMB Dataset

Evaluation of COVID-19 vaccination strategies with a delayed second dose

UID: 172
Author(s): Seyed M. Moghadas, Thomas N. Vilches, Kevin Zhang, Shokoofeh Nourbakhsh, Pratha Sah...
Description
Due to constraints in vaccine supply, this agent-based model of COVID-19 transmission was developed to compare the impact of two vaccination strategies: 1) vaccinate more individuals with the first dose of available vaccines and delay the second dose or 2) to continue with the recommended 2-dose series as tested in clinical trials. Model population was stratified into 6 age groups of 0 to 4, 5 to 19, 20 to 49, 50 to 64, 65 to 79, and 80+ years based on United States census data.
Local Experts
Meagan C. Fitzpatrick
Subject of Study
Subject Domain
COVID-19 Vaccines/administration & dosage
COVID-19/prevention & control
SARS-CoV-2/immunology
Population Age
Adult (19 years to 64 years)
Child (2 years to 12 years)
Senior (65 years to 79 years)
Adolescent (13 years to 18 years)
Elderly (80 years and over)
Infant, Newborn (first 28 days after birth)
Keywords
Hospitalization/statistics & numerical data
Immunization Schedule
Models, Statistical

Access

Restrictions
Unrestricted access
Instructions
Freely accessible via Github.
Access via Github

Computational model and data/parameters

Access via Github

Raw data

Associated Publications
Moghadas SM, Vilches TN, Zhang K, Nourbakhsh S, Sah P, Fitzpatrick MC, et al. (2021) Evaluation of COVID-19 vaccination strategies with a delayed second dose. PLoS Biol 19(4): e3001211. https://doi.org/10.1371/journal.pbio.3001211
Data Type
Clinical Measures
Demographic
Software Used
Agent-based model simulating vaccination strategies against COVID-19

The computational model simulates autonomous agents (representing individuals in a human population) and their interactions within a constrained virtual environment.

Study Type
Statistical modeling
Dataset Format(s)
Microsoft Excel, DAT, Julia
Grant Support
OV4 – 170643, COVID-19 Rapid Research/Canadian Institutes of Health Research
18/24811-1/TNV: São Paulo Research Foundation
1RO1AI151176-01; 1K01AI141576-01/APG, MCF: the National Institutes of Health
RAPID 2027755; CCF-1918784/APG: the National Science Foundation