Ontology highlight
ABSTRACT: Objective
More similar locations may have similar infectious disease dynamics. There is clear overlap in putative causes for epidemic similarity, such as geographic distance, age structure, and population size. We compare the effects of these potential drivers on epidemic similarity compared to a baseline assumption that differences in the basic reproductive number (R 0) will translate to differences in epidemic trajectories.Methods
Using COVID-19 case counts from United States counties, we explore the importance of geographic distance, population size differences, and age structure dissimilarity on resulting epidemic similarity.Results
We find clear effects of geographic space, age structure, population size, and R 0 on epidemic
SUBMITTER: Dallas TA
PROVIDER: S-EPMC9579807 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature