How Big Data Science Can Improve Linkage and Retention in Care

• Autores: Aadia I. Rana, Michael J. Mugavero
• Localización: Infectious disease clinics of North America, ISSN 0891-5520, Vol. 33, Nº. 3, 2019 (Ejemplar dedicado a: HIV), págs. 807-815
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Ending the HIV Epidemic: A Plan for America” (EtHE), launched by the Department of Health and Human Services (DHHS), is predicated on actionable data systems to monitor progress toward ambitious goals and to guide human immunodeficiency virus (HIV) testing, prevention, and treatment services. Situated on a status-neutral continuum of HIV prevention and care, EtHE relies on coordination across DHHS agencies and utilization of data systems established for programmatic purposes. Improving efficiencies and timeliness of existing data systems and harnessing the potential of novel data systems, including those afforded by social media, require big data science approaches and investment in technological and human resources.