Simulating Facebook Advertisements to Establish Cost per New HIV Diagnosis Using Routine and Targeted Models in a Local Population.
John J HannaAnk E NijhawanChristoph U LehmanRichard J MedfordPublished in: Healthcare (Basel, Switzerland) (2022)
Among HIV populations at risk, targeted FB Ads are more cost-effective for detecting new HIV infections than non-targeted Ads. This cost-effectiveness increases in locations where focused testing increases new HIV diagnosis rates, compared to routine testing.