Using Microsimulation Modeling to Inform EHE Implementation Strategies in Los Angeles County

Abstract

Supplemental Digital Content is Available in the Text.

Impact of COVID-19 Response on the HIV Epidemic in Men Who Have Sex With Men in San Francisco County: The Importance of Rapid Return to Normalcy

“…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.…”

“…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 .…”