Simulating Facebook Advertisements to Establish Cost per New HIV Diagnosis Using Routine and Targeted Models in a Local Population

Simulating Facebook Advertisements to Establish Cost per New HIV Diagnosis Using Routine and Targeted Models in a Local Population

Background: Undiagnosed human immunodeficiency virus (HIV) infection remains a public health challenge. We explore Facebook (FB) advertisement (Ads) cost per new HIV diagnosis using non-targeted Ads, a routine testing model against targeted Ads, and a focused testing model in Texas. Methods: On 14 O...

Full description

Bibliographic Details
Main Authors: John J. Hanna, Ank E. Nijhawan, Christoph U. Lehmann, Richard J. Medford
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Healthcare
Subjects:
Facebook advertisements
personalized advertisements
social media
precision medicine
public health informatics
public health communications
Online Access:https://www.mdpi.com/2227-9032/10/7/1195

Internet

https://www.mdpi.com/2227-9032/10/7/1195

Similar Items