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ABSTRACT: Purpose
Estimates of HIV prevalence, and how it changes over time, are needed to inform action (e.g., resource allocation) to improve HIV-related public health. However, creating adequate estimates of (diagnosed and undiagnosed) HIV prevalence is challenging due to biases in samples receiving HIV testing and due to difficulties enumerating key risk populations. To our knowledge, estimates of HIV prevalence among high risk heterosexuals in the United States produced for geographic areas smaller than the entire nation have to date been only for single years and/or for single cities (or other single geographic locations).Methods
The present study addresses these gaps by using multilevel modeling on multiple data series, in combination with previous estimates of HIV prevalence
SUBMITTER: Williams LD
PROVIDER: S-EPMC8747890 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature