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Including transgender populations in mathematical models for HIV treatment and prevention: current barriers and policy implications.
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- معلومة اضافية
- Corporate Authors:
- المصدر:
Publisher: John Wiley & Sons, Inc Country of Publication: Switzerland NLM ID: 101478566 Publication Model: Print Cited Medium: Internet ISSN: 1758-2652 (Electronic) Linking ISSN: 17582652 NLM ISO Abbreviation: J Int AIDS Soc Subsets: MEDLINE
- بيانات النشر:
Publication: 2017- : Hoboken, NJ : John Wiley & Sons, Inc
Original Publication: [London] : BioMed Central
- الموضوع:
- نبذة مختصرة :
Introduction: Mathematical models of HIV have been uniquely important in directing and evaluating HIV policy. Transgender and nonbinary people are disproportionately impacted by HIV; however, few mathematical models of HIV transmission have been published that are inclusive of transgender and nonbinary populations. This commentary discusses current structural challenges to developing robust and accurate trans-inclusive models and identifies opportunities for future research and policy, with a focus on examples from the United States.
Discussion: As of April 2024, only seven published mathematical models of HIV transmission include transgender people. Existing models have several notable limitations and biases that limit their utility for informing public health intervention. Notably, no models include transgender men or nonbinary individuals, despite these populations being disproportionately impacted by HIV relative to cisgender populations. In addition, existing mathematical models of HIV transmission do not accurately represent the sexual network of transgender people. Data availability and quality remain a significant barrier to the development of accurate trans-inclusive mathematical models of HIV. Using a community-engaged approach, we developed a modelling framework that addresses the limitations of existing model and to highlight how data availability and quality limit the utility of mathematical models for transgender populations.
Conclusions: Modelling is an important tool for HIV prevention planning and a key step towards informing public health interventions, programming and policies for transgender populations. Our modelling framework underscores the importance of accurate trans-inclusive data collection methodologies, since the relevance of these analyses for informing public health decision-making is strongly dependent on the validity of the model parameterization and calibration targets. Adopting gender-inclusive and gender-specific approaches starting from the development and data collection stages of research can provide insights into how interventions, programming and policies can distinguish unique health needs across all gender groups. Moreover, in light of the data structure limitations, designing longitudinal surveillance data systems and probability samples will be critical to fill key research gaps, highlight progress and provide additional rigour to the current evidence. Investments and initiatives like Ending the HIV Epidemic in the United States can be further expanded and are highly needed to prioritize and value transgender populations across funding structures, goals and outcome measures.
(© 2024 The Author(s). Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of International AIDS Society.)
- References:
Am J Public Health. 2017 Feb;107(2):e1-e8. (PMID: 28075632)
Lancet. 2015 Jan 17;385(9964):274-86. (PMID: 25059941)
AIDS Behav. 2019 Sep;23(9):2588-2599. (PMID: 31263998)
PLoS One. 2015 Jun 03;10(6):e0128971. (PMID: 26039511)
Lancet HIV. 2023 May;10(5):e308-e319. (PMID: 36868260)
AIDS Behav. 2018 Nov;22(11):3627-3636. (PMID: 29589137)
AIDS Behav. 2016 Jul;20(7):1470-7. (PMID: 26336946)
J Int AIDS Soc. 2020 Jun;23 Suppl 1:e25495. (PMID: 32562365)
J Acquir Immune Defic Syndr. 2021 Dec 15;88(S1):S27-S38. (PMID: 34757990)
JMIR Res Protoc. 2019 Jun 27;8(6):e14091. (PMID: 31250829)
Andrology. 2021 Nov;9(6):1707-1718. (PMID: 34080788)
LGBT Health. 2016 Dec;3(6):434-442. (PMID: 27726496)
Transgend Health. 2023 Oct 04;8(5):429-436. (PMID: 37810942)
J Int AIDS Soc. 2016 Oct 18;19(7(Suppl 6)):21105. (PMID: 27760683)
J Acquir Immune Defic Syndr. 2024 Jan 1;95(1S):e13-e23. (PMID: 38180846)
Milbank Q. 2017 Dec;95(4):726-748. (PMID: 29226450)
Glob Public Health. 2016 Aug-Sep;11(7-8):1060-75. (PMID: 26963756)
PLoS One. 2021 Dec 1;16(12):e0260063. (PMID: 34851961)
AIDS Behav. 2019 Oct;23(10):2779-2783. (PMID: 31280396)
J Acquir Immune Defic Syndr. 2016 Aug 15;72 Suppl 3:S235-42. (PMID: 27429189)
Curr HIV/AIDS Rep. 2023 Jun;20(3):160-169. (PMID: 37012537)
J Int AIDS Soc. 2019 Sep;22(9):e25391. (PMID: 31536171)
Lancet. 2011 Aug 6;378(9790):515-25. (PMID: 21481448)
JAMA. 2019 Mar 5;321(9):844-845. (PMID: 30730529)
Curr Opin HIV AIDS. 2011 Mar;6(2):108-13. (PMID: 21505384)
Sex Transm Dis. 2022 Feb 1;49(2):e45-e49. (PMID: 34407018)
Infect Dis Model. 2019 Apr 06;4:73-82. (PMID: 31025025)
AIDS. 2022 Feb 1;36(2):305-315. (PMID: 34690282)
Lancet. 2016 Jul 23;388(10042):412-436. (PMID: 27323919)
LGBT Health. 2021 Feb-Mar;8(2):116-124. (PMID: 33567245)
Ann Intern Med. 2021 Nov;174(11):1542-1553. (PMID: 34543589)
Lancet. 2009 Jan 3;373(9657):48-57. (PMID: 19038438)
Behav Med. 2019 Apr-Jun;45(2):143-152. (PMID: 31343968)
Lancet. 2022 Feb 12;399(10325):628. (PMID: 35151395)
Am J Public Health. 2018 Nov;108(S4):S274-S276. (PMID: 30383426)
Transgend Health. 2017 Feb 01;2(1):17-28. (PMID: 28861545)
Lancet Reg Health Am. 2023 Jun 24;24:100544. (PMID: 37383047)
J Glob Health. 2018 Jun;8(1):010412. (PMID: 29770215)
PLoS One. 2019 Sep 19;14(9):e0222183. (PMID: 31536518)
Am J Public Health. 2017 Apr;107(4):582-589. (PMID: 28207334)
Sex Health. 2018 Nov;15(6):562-569. (PMID: 30384881)
Sex Transm Dis. 2023 May 1;50(5):280-287. (PMID: 36881439)
Open Forum Infect Dis. 2021 Jul 30;8(9):ofab404. (PMID: 34514019)
AIDS Behav. 2017 May;21(5):1325-1335. (PMID: 27900502)
J Int AIDS Soc. 2019 Apr;22(4):e25270. (PMID: 31037858)
PLoS Med. 2012;9(10):e1001323. (PMID: 23055836)
J Acquir Immune Defic Syndr. 2020 Aug 15;84(5):437-442. (PMID: 32692101)
AIDS Care. 2020 May;32(5):585-593. (PMID: 31482726)
Lancet Public Health. 2019 Mar;4(3):e127-e136. (PMID: 30683587)
Health Educ Behav. 2024 Feb;51(1):5-9. (PMID: 37746726)
AIDS Educ Prev. 2017 Aug;29(4):302-314. (PMID: 28825860)
AIDS Behav. 2021 Jul;25(Suppl 1):3-12. (PMID: 34037930)
AIDS Behav. 2017 Dec;21(12):3299-3311. (PMID: 28421354)
Am J Public Health. 2019 Jan;109(1):e1-e8. (PMID: 30496000)
AIDS. 2020 Nov 15;34(14):2103-2113. (PMID: 32910062)
Am J Public Health. 2017 Feb;107(2):207-212. (PMID: 27997228)
AIDS Behav. 2020 Aug;24(8):2442-2450. (PMID: 32020510)
- Grant Information:
University of Washington's School of Public Health; UM1AI068617 National Institutes of Allergy and Infectious Disease; American Sexually Transmitted Diseases Association; F31AI152542 National Institute of Allergy and Infectious Diseases; UM1 AI068617 United States AI NIAID NIH HHS
- Contributed Indexing:
Keywords: HIV; HIV policy; epidemic modelling; mathematical modelling; nonbinary; transgender
- الموضوع:
Date Created: 20240613 Date Completed: 20240613 Latest Revision: 20240904
- الموضوع:
20240904
- الرقم المعرف:
PMC11168965
- الرقم المعرف:
10.1002/jia2.26304
- الرقم المعرف:
38867431
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