Title
Epidemic time series similarity is related to geographic distance and age structure
Document Type
Article
Publication Date
12-1-2022
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 ( ) 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 on epidemic similarity, but notably the effect of age structure was stronger than the baseline assumption that differences in would be most related to epidemic similarity. CONCLUSIONS: Together, this highlights the role of spatial and demographic processes on SARS-CoV2 epidemics in the United States.
Publication Source (Journal or Book title)
Infectious Disease Modelling
First Page
690
Last Page
697
Recommended Citation
Dallas, T. A., Foster, G., Richards, R. L., & Elderd, B. D. (2022). Epidemic time series similarity is related to geographic distance and age structure. Infectious Disease Modelling, 7 (4), 690-697. https://doi.org/10.1016/j.idm.2022.09.002