County-Level Factors That Influenced the Trajectory of COVID-19 Incidence in the New York City Area.

ABSTRACT: More than a century of research has shown that sociodemographic conditions affect infectious disease transmission. In the late spring and early summer of 2020, reports of the effects of sociodemographic variables on the spread of COVID-19 were used in the media with minimal scientific proof attached. With new cases of COVID-19 surging in the United States at that time, it became essential to better understand how the spread of COVID-19 was varying across all segments of the population. We used hierarchical exponential growth curve modeling techniques to examine whether community socioeconomic characteristics uniquely influence the incidence of reported COVID-19 cases in the urban built environment. We show that as of July 19, 2020, confirmed coronavirus infections in New York City and surr

SUBMITTER: Kranjac AW 

PROVIDER: S-EPMC8236558 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature