Ontology highlight
ABSTRACT: Background
The impact of variable infection risk by race and ethnicity on the dynamics of SARS-CoV-2 spread is largely unknown.Methods
Here, we fit structured compartmental models to seroprevalence data from New York State and analyze how herd immunity thresholds (HITs), final sizes, and epidemic risk change across groups.Results
A simple model where interactions occur proportionally to contact rates reduced the HIT, but more realistic models of preferential mixing within groups increased the threshold toward the value observed in homogeneous populations. Across all models, the burden of infection fell disproportionately on minority populations: in a model fit to Long Island serosurvey and census data, 81% of Hispanics or Latinos were infected when the HIT was reach
SUBMITTER: Ma KC
PROVIDER: S-EPMC8221808 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature