Global assessment of existing HIV and key population stigma indicators: A data mapping exercise to inform country-level stigma measurement.
Carrie E LyonsVictoria BendaudChristina BoureyTaavi ErkkolaIshwarya RavichandranOmar SyarifAnne L StanglJudy ChangLaura FergusonLaura NybladeJoseph J AmonAlexandrina IovitaEglė JanušonytėPim LoozeLaurel SpragueKeith M Sabinnull nullStefan David BaralSarah McIvor MurrayPublished in: PLoS medicine (2022)
Based on the current state of data available, several indicators have the potential to characterize the level and nature of stigma affecting people living with HIV and key populations across countries and across time. This exercise revealed challenges for an empirical process reliant on existing data to determine how to weight and best combine indicators into indices. However, results for this study can be combined with participatory processes to inform summary measure development and set data collection priorities going forward.
Keyphrases
- electronic health record
- hiv aids
- big data
- mental health
- physical activity
- mental illness
- social support
- high intensity
- antiretroviral therapy
- high resolution
- body mass index
- hiv infected
- machine learning
- human immunodeficiency virus
- resistance training
- hiv positive
- depressive symptoms
- body composition
- artificial intelligence
- men who have sex with men
- single cell
- weight gain
- climate change
- deep learning
- high density
- body weight