Population Size Estimation Methods: Searching for the Holy Grail.
Joyce J NealDimitri PrybylskiTravis Howard SanchezWolfgang HladikPublished in: JMIR public health and surveillance (2020)
Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title "Key Population Size Estimations." We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.
Keyphrases
- hiv testing
- men who have sex with men
- public health
- hiv positive
- antiretroviral therapy
- electronic health record
- healthcare
- primary care
- big data
- human immunodeficiency virus
- type diabetes
- mental health
- hiv infected
- hepatitis c virus
- metabolic syndrome
- high resolution
- drinking water
- mass spectrometry
- social media
- deep learning
- insulin resistance
- glycemic control