For much of the past two decades, Miami, FL has experienced the most severe HIV epidemic in the Unites States. Despite some notable advances in HIV prevention, this community remains far from achieving its “Getting to Zero” objectives. During this presentation, we will review the potential use of agent-based modeling in estimating the effectiveness of specific population-based HIV prevention strategies in Miami. We will start with a brief introduction to important facets of the local epidemic, and continue with the basic methodological principles of our agent-based modeling approach and the adaptations we have made to best provide insight into local epidemic dynamics.
Dr. Daniel Escudero is a research associate in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. His work has focused on the prevention of HIV among marginalized populations, such as those who inject drugs, sexual minorities, migrants, and more recently among those in highly-endemic settings. This work has included a focus on the uses of pre-exposure prophylaxis (PrEP) for HIV prevention, and increasingly on the role of treatment as prevention (TasP), as well as access to treatment for those with HIV infection. Some of this work has consisted of mathematical modeling, while other work has used more traditional epidemiological methods and data collection. Currently, his work has focused on HIV prevention, screening and access to care in Miami, FL and Botswana. Along with many others in the HIV research community, some of Dr. Escudero’s most recent interests have also turned to the impact of the COVID-19 epidemic on HIV disease outcomes and disease dynamics.
Add to Calendar2020-07-28 11:00:002020-07-28 12:00:00CAPS/PRC Town Hall presents: Daniel Escudero, PhD, MPH -- Use of Agent-Based Modeling to Evaluate HIV Prevention Strategies in Miami, FL
Zoom Meeting: https://ucsf.zoom.us/j/97077418742?pwd=ZmoyTU9hQUR6eWhvbUhRbE5hbGpqZz09
For much of the past two decades, Miami, FL has experienced the most severe HIV epidemic in the Unites States. Despite some notable advances in HIV prevention, this community remains far from achieving its “Getting to Zero” objectives. During this presentation, we will review the potential use of agent-based modeling in estimating the effectiveness of specific population-based HIV prevention strategies in Miami. We will start with a brief introduction to important facets of the local epidemic, and continue with the basic methodological principles of our agent-based modeling approach and the adaptations we have made to best provide insight into local epidemic dynamics.
Dr. Daniel Escudero is a research associate in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. His work has focused on the prevention of HIV among marginalized populations, such as those who inject drugs, sexual minorities, migrants, and more recently among those in highly-endemic settings. This work has included a focus on the uses of pre-exposure prophylaxis (PrEP) for HIV prevention, and increasingly on the role of treatment as prevention (TasP), as well as access to treatment for those with HIV infection. Some of this work has consisted of mathematical modeling, while other work has used more traditional epidemiological methods and data collection. Currently, his work has focused on HIV prevention, screening and access to care in Miami, FL and Botswana. Along with many others in the HIV research community, some of Dr. Escudero’s most recent interests have also turned to the impact of the COVID-19 epidemic on HIV disease outcomes and disease dynamics.
[email protected]Division of Prevention ScienceAmerica/Los_Angelespublic
