Ontology highlight
ABSTRACT: Background
In the United States, HIV disproportionately affects Black cisgender sexual minority men (BSMM). Although epidemiological and behavioral surveillance are integral to identifying BSMM at risk of HIV infection and transmission, overreliance on self-reported data, inability to observe social contexts, and neglect of populations with limited engagement in health care systems limits their effectiveness. Digital epidemiological approaches drawing on social media data offer an opportunity to overcome these limitations by passively observing in organic settings activities, beliefs, behaviors, and moods that indicate health risks but are otherwise challenging to capture.Objective
The primary aim of this study was to determine whether features of Facebook communication and
SUBMITTER: Young LE
PROVIDER: S-EPMC9634521 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature