2022
DOI: 10.1089/apc.2022.0011
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Are Unequal Policies in Pre-Exposure Prophylaxis Uptake Needed to Improve Equality? An Examination Among Men Who Have Sex with Men in Los Angeles County

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Cited by 4 publications
(3 citation statements)
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“…Out of the 42 interventions for HIV testing and PrEP uptake and adherence included in the system-atic reviews by Wang et al [34,35], approximately 30% focused on Black or Hispanic/Latinx MSM. A modelling study of PrEP allocation strategies in LA county found allocating PrEP resources preferentially to Black individuals would have a substantial positive impact on increasing equity, with disparities in HIV incidence substantially reduced [54]. While HIV incidence may already be at parity between Black and White populations in some US settings [55], differences are significant in the South, where Black individuals account for more of the overall population than other parts of the country (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Out of the 42 interventions for HIV testing and PrEP uptake and adherence included in the system-atic reviews by Wang et al [34,35], approximately 30% focused on Black or Hispanic/Latinx MSM. A modelling study of PrEP allocation strategies in LA county found allocating PrEP resources preferentially to Black individuals would have a substantial positive impact on increasing equity, with disparities in HIV incidence substantially reduced [54]. While HIV incidence may already be at parity between Black and White populations in some US settings [55], differences are significant in the South, where Black individuals account for more of the overall population than other parts of the country (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…We adapted a previously published, discrete time microsimulation model of HIV among MSM, which tracks HIV disease progression and treatment dynamics according to characteristics of individual MSM on a yearly basis. 19 , 20 Specifically, the model determines the probability a susceptible individual becomes infected with HIV using the individual's demographic characteristics (age and race) and associated partnership preference pattern, number of partners, PrEP adherence, and ART adherence. See Appendix section, http://links.lww.com/QAI/C11 Model Description and Parameters for details.…”
Section: Methodsmentioning
confidence: 99%
“…Individuals exited the model when they died from HIV infection, COVID-19 infection, or other causes, and the model structure is described in detail in previous publications. 19 , 20 The code is implemented in MATLAB, 21 and the simulation code is available online at https://github.com/citina/microsimulation-sfc .…”
Section: Methodsmentioning
confidence: 99%