journal article·2022-08-21Open access

Exploring Projections for HIV Infection with Pre-Exposure Prophylaxis Usage in a High-Risk Population

Jeramy Lewis, Robert E. Camley

Applied Sciences· Volume 12· Issue 16

Abstract

Prevention of type-1 human immunodeficiency virus (HIV) infections has primarily been through condom usage, abstinence, and behavioral and risk awareness programs. Pre-exposure prophylaxis (PrEP) medications became approved for infection prevention in 2012. Mathematical models exploring the projections and impacts of PrEP on the spread of HIV are sparse. This study develops an epidemiological model for type-1 HIV infection accounting for both PrEP and condom usage. We utilized CDC surveillance data on HIV/AIDS statistics to develop a susceptible, infected, AIDS numerical model containing PrEP, condoms, and the combination of both. We explore projections with the percentages of PrEP usage held constant and the impact of average annual sexual partners. We find when 70% of the high-risk population uses PrEP properly with an average of 2 sexual partners per year, the eventual infected percentage drops to about 15%. In contrast, when PrEP is not used correctly and with 4 partners per year the total eventual infected percentage rises to 59%. PrEP can be a highly effective mitigator for the spread of HIV. However, an increased average number of sexual partners per year with improper PrEP usage can minimize the long-term effectiveness of PrEP.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: HIV/AIDS Research and Interventions · HIV, Drug Use, Sexual Risk · HIV Research and Treatment

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

BioFrontiers Center, University of Colorado, Colorado Springs, CO 80918, USA

References (27)

Show source-provided references
1. CDC (2019, November 11). Division of HIV/AIDS Prevention Strategic Plan 2017–2020, Available online: https://www.cdc.gov/hiv/pdf/dhap/cdc-hiv-dhap-external-strategic-plan.pdf.
2. United Nations Joint Programme on HIV/AIDS (UNAIDS) (2014). 90-90-90 an Ambitious Treatment Target to Help End the AIDS Epidemic, United Nations. Available online: http://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf.
3. Update on human immunodeficiency virus (HIV)-2 infection10.1093/cid/ciq248 ↗
4. FDA (2019, November 17). FDA In Brief: FDA Continues to Encourage Ongoing Education about the Benefits and Risks Associated with PrEP, Including Additional Steps to Help Reduce the Risk of Getting HIV, Available online: https://www.fda.gov/news-events/fda-brief/fda-brief-fda-continues-encourage-ongoing-education-about-benefits-and-risks-associated-prep.
5. Tenofovir disoproxil fumarate: Clinical pharmacology and pharmacokinetics10.2165/00003088-200443090-00003 ↗
6. Genetic Strategies for HIV Treatment and Prevention10.1016/j.omtn.2018.09.018 ↗
7. Mathematical models of HIV latency
8. Modeling and optimal control of HIV/AIDS prevention through PrEP
9. Kim, S.B., Yoon, M., Ku, N.S., Kim, M.H., Song, J.E., Ahn, J.Y., Jeong, S.J., Kim, C., Kwon, H.D., and Lee, J. (2014). Mathematical modeling of HIV prevention measures including pre-exposure prophylaxis on HIV incidence in South Korea. PLoS ONE, 9.10.1371/journal.pone.0090080 ↗
10. Hammack, P.L., Meyer, I.H., Krueger, E.A., Lightfoot, M., and Frost, D.M. (2018). HIV testing and pre-exposure prophylaxis (PrEP) use, familiarity, and attitudes among gay and bisexual men in the United States: A national probability sample of three birth cohorts. PLoS ONE, 13.10.1371/journal.pone.0202806 ↗
11. CDC (2021, April 27). Atlas Plus HIV, Hepatitits, STD, TB, Social Determinates of Health Data, Available online: https://gis.cdc.gov/grasp/nchhstpatlas/tables.html.
12. Prejean, J., Song, R., Hernandez, A., Ziebell, R., Green, T., Walker, F., Lin, L.S., An, Q., Mermin, J., and Lansky, A. (2011). Estimated HIV incidence in the United States, 2006–2009. PLoS ONE, 6.10.1371/journal.pone.0017502 ↗
13. Modeling and analyzing HIV transmission: The effect of contact patterns10.1016/0025-5564(88)90031-4 ↗
14. Modelling and analysis of the spread of AIDS epidemic with immigration of HIV infectives10.1016/j.mcm.2008.09.013 ↗
15. The differential infectivity and staged progression models for the transmission of HIV10.1016/S0025-5564(98)10057-3 ↗
16. CMS.gov (2022, August 05). FAQS About Affordable Care Act Implementation Part 47. CCIIO OG MWRD 671 2021, Available online: https://www.cms.gov/CCIIO/Resources/Fact-Sheets-and-FAQs/Downloads/FAQs-Part-47.pdf.
17. Trends in condom use among MSM in the United States: The role of antiretroviral therapy and seroadaptive strategies10.1097/QAD.0000000000001139 ↗
18. LGBT Demographic Data Interactive (2020, January 05). The Williams Institute, UCLA School of Law. Available online: https://williamsinstitute.law.ucla.edu/visualization/lgbt-stats/?topic=LGBT#density.
19. Trends in Condomless Sex Among MSM Who Participated in CDC-Funded HIV Risk-Reduction Interventions in the United States, 2012–2017
20. Promoting positive condom use experiences among young black MSM: A randomized controlled trial of a brief, clinic-based intervention10.1093/her/cyy010 ↗
21. Barriers to condom use among key populations in Namibia10.1177/0956462419875884 ↗
22. International Centre for Diarrhoeal Disease Research, Bangladesh (2022, August 07). Behavioural and Serological Surveillance on Males Having Sex with Males, Male Sex Workers and Hijra, 2015. AIDS/STD Programme (ASP) Technical Report, Available online: https://asp.portal.gov.bd/sites/default/files/files/asp.portal.gov.bd/page/4129b6d9_3565_48d5_8f89_ef37abb51732/2020-08-10-21-45-ac75def954198f99d473dde36882dbcd.pdf.
23. Prevalence of Condom Use and Its Related Factors Among Men Who Have Sex with Men in Thailand10.33165/rmj.2019.42.4.207154 ↗
24. Racial/Ethnic Disparities in HIV Preexposure Prophylaxis among Men Who Have Sex with Men—23 Urban Areas, 201710.15585/mmwr.mm6837a2 ↗
25. Treatment of sexually transmitted infections for HIVprevention: End of the road or new beginning?10.1097/01.aids.0000390704.35642.47 ↗
26. High Risk for HIV following Syphilis Diagnosis among Men in Florida, 2000–201110.1177/003335491412900210 ↗
27. HIV Incidence Among Men with and Those Without Sexually Transmitted Rectal Infections: Estimates from Matching Against an HIV Case Registry10.1093/cid/cit437 ↗