A time-varying vulnerability index for COVID-19 in New Mexico, USA using generalized propensity scores.
Ontology highlight
ABSTRACT: The coronavirus disease (COVID-19) pandemic has highlighted systemic inequities in the United States and resulted in a larger burden of negative social outcomes for marginalized communities. New Mexico, a state in the southwestern US, has a unique population with a large racial minority population and a high rate of poverty that may make communities more vulnerable to negative social outcomes from COVID-19. To identify which communities may be at the highest relative risk, we created a county-level vulnerability index. After the first COVID-19 case was reported in New Mexico on March 11, 2020, we fit a generalized propensity score model that incorporates sociodemographic factors to predict county-level viral exposure and thus, the generic risk to negative social outcomes such as unemployme
SUBMITTER: Gorris ME
PROVIDER: S-EPMC8416291 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA