Open AccessProjecting the number of new HIV infections to formulate the "Getting to Zero" strategy in Illinois, USA
Author(s) -
Aditya Khanna,
Mert Edali,
Jonathan Ozik,
Nicholson Collier,
Anna L. Hotton,
Abigail Skwara,
Babak Mahdavi Ardestani,
Russell Brewer,
Kayo Fujimoto,
Nina T. Harawa,
John A. Schneider
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021196
Subject(s) - consistency (knowledge bases) , psychosocial , pre exposure prophylaxis , human immunodeficiency virus (hiv) , population , computer science , men who have sex with men , gerontology , medicine , operations research , psychology , mathematics , artificial intelligence , family medicine , environmental health , psychiatry , syphilis
Getting to Zero (GTZ) initiatives focus on expanding use of antiretroviral treatment (ART) and pre-exposure prophylaxis (PrEP) to eliminate new HIV infections. Computational models help inform policies for implementation of ART and PrEP continuums. Such models, however, vary in their design, and may yield inconsistent predictions. Using multiple approaches can help assess the consistency in results obtained from varied modeling frameworks, and can inform optimal implementation strategies.