Citation
Pang, Cindy & Delamater, Paul L. (2023). Spatiotemporal Characteristics of the SARS-CoV-2 Delta Wave in North Carolina. Spatial and Spatio-Temporal Epidemiology, 45, 100566. PMCID: PMC9838034Abstract
We constructed county-level models to examine properties of the SARS-CoV-2 B.1.617.2 (Delta) variant wave of infections in North Carolina and assessed immunity levels (via prior infection, via vaccination, and overall) prior to the Delta wave. To understand how prior immunity shaped Delta wave outcomes, we assessed relationships among these characteristics. Peak weekly infection rate and total percent of the population infected during the Delta wave were negatively correlated with the proportion of people with vaccine-derived immunity prior to the Delta Wave, signaling that places with higher vaccine uptake had better outcomes. We observed a positive correlation between immunity via infection prior to Delta and percent of the population infected during the Delta wave, meaning that counties with poor pre-Delta outcomes also had poor Delta wave outcomes. Our findings illustrate geographic variation in outcomes during the Delta wave in North Carolina, highlighting regional differences in population characteristics and infection dynamics.URL
http://dx.doi.org/10.1016/j.sste.2023.100566Reference Type
Journal ArticleYear Published
2023Journal Title
Spatial and Spatio-Temporal EpidemiologyAuthor(s)
Pang, CindyDelamater, Paul L.
Article Type
RegularPMCID
PMC9838034Data Set/Study
North Carolina Department of Healthand Human Services (NCDHHS) Public Database