Association between city-level sociodemographic and health factors and the prevalence of antimicrobial-resistant gonorrhea in the US, 2000-2019: a spatial-temporal modeling study.

ABSTRACT:

Background

Evidence from the surveillance systems of antimicrobial-resistant (AMR) gonorrhea suggests substantial variation in the prevalence of AMR gonorrhea across populations. However, little is known about the extent to which the population-level demographic, socioeconomic, and health factors (e.g., population density, poverty level, or the prevalence of other sexually-transmitted diseases) are associated with the burden of AMR gonorrhea. We developed a hierarchical Bayesian spatial-temporal logistic regression model to investigate the association between multiple spatially- and temporally-varying predictors and the proportion of isolates with resistance to each one of ciprofloxacin, penicillin, and tetracycline between 2000 and 2019 in the United States (US).

Methods

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SUBMITTER: Li J 

PROVIDER: S-EPMC11834109 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature