The MIDAS Webinar Series features research by MIDAS members, and is open to the public.
Date: Friday, December 8, 2023
Time: 12:00pm – 1:00pm Eastern Standard Time (USA)
Topic: CDC Prevention Effectiveness Fellowship Information Session
Presentation 1:
Changes in HIV transmission rates in the United States, by selected characteristics and care outcomes, 2019
We updated the Progression and Transmission of HIV (PATH) 3.0, an agent-based simulation model, to estimate 2019 transmission rates and number of person with HIV in the United States along the continuum of care, by transmission group, age, and race/ethnicity. In this presentation, we introduce the PATH 3.0 model, discuss changes that were made to the model for this analysis, and present the 2019 transmission rate analysis results. Results from this study support a continued emphasis on progressing persons with HIV along the care continuum and addressing racial/ethnic disparities to reduce HIV transmissions and end the HIV epidemic in the United States.
Bio
Arden Baxter, PhD, MS, is a 2022 PE Fellow on the Modeling Track in the Division of HIV Prevention within the National Center for HIV, Hepatitis, STD, and TB Prevention. Her work at CDC focuses on using modeling and analytical techniques to work towards achieving the goals of the Ending the HIV Epidemic in the U.S. Initiative through HIV prevention and treatment. Prior to joining the CDC, Arden earned her PhD and MS in Operations Research from Georgia Institute of Technology where she focused on health and humanitarian logistics research. She has her BA in Mathematics and Computer Science from Rollins College.
Changes in HIV transmission rates in the United States, by selected characteristics and care outcomes, 2019
We updated the Progression and Transmission of HIV (PATH) 3.0, an agent-based simulation model, to estimate 2019 transmission rates and number of person with HIV in the United States along the continuum of care, by transmission group, age, and race/ethnicity. In this presentation, we introduce the PATH 3.0 model, discuss changes that were made to the model for this analysis, and present the 2019 transmission rate analysis results. Results from this study support a continued emphasis on progressing persons with HIV along the care continuum and addressing racial/ethnic disparities to reduce HIV transmissions and end the HIV epidemic in the United States.
Bio
Arden Baxter, PhD, MS, is a 2022 PE Fellow on the Modeling Track in the Division of HIV Prevention within the National Center for HIV, Hepatitis, STD, and TB Prevention. Her work at CDC focuses on using modeling and analytical techniques to work towards achieving the goals of the Ending the HIV Epidemic in the U.S. Initiative through HIV prevention and treatment. Prior to joining the CDC, Arden earned her PhD and MS in Operations Research from Georgia Institute of Technology where she focused on health and humanitarian logistics research. She has her BA in Mathematics and Computer Science from Rollins College.
Presentation 2:
Communicating Modeling Results and Patient Transfer Network to Support Local Implementation of Prevention Guidance
The Centers for Disease Control and Prevention (CDC)’s new Public Health Strategies to Prevent the Spread of Novel and Targeted Multidrug-Resistant Organisms (MDROs) were informed by mathematical models that assessed the impact of implementing preventive strategies directed at a subset of healthcare facilities characterized as influential or highly connected based on their predicted role in the regional spread of MDROs. We developed an interactive tool to communicate mathematical modeling results and visualize the regional patient transfer network for public health departments and healthcare facilities to assist in planning and implementing prevention strategies.
Bio
Rany Octaria, PhD, MPH, earned her PhD in Epidemiology and MPH in Public Health from Vanderbilt University. Before her career in public health, she practiced as a family physician in Indonesia. Dr. Octaria worked as an Epidemiologist at the Tennessee Department of Health (TDH), where she managed surveillance data under the healthcare-associated infections and antimicrobial resistance (HAI-AR) program and led the COVID-19 data stewards team. Dr. Octaria is assigned to the National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, where she developed an interactive website to visualize patient transfer networks among healthcare facilities in the US and working on a project to model the regional transmissions of multidrug-resistant organisms (MDROs), improve transmission parameter estimation using surveillance data, and support mathematical modeling efforts for MDRO in Southeast Asia.
Communicating Modeling Results and Patient Transfer Network to Support Local Implementation of Prevention Guidance
The Centers for Disease Control and Prevention (CDC)’s new Public Health Strategies to Prevent the Spread of Novel and Targeted Multidrug-Resistant Organisms (MDROs) were informed by mathematical models that assessed the impact of implementing preventive strategies directed at a subset of healthcare facilities characterized as influential or highly connected based on their predicted role in the regional spread of MDROs. We developed an interactive tool to communicate mathematical modeling results and visualize the regional patient transfer network for public health departments and healthcare facilities to assist in planning and implementing prevention strategies.
Bio
Rany Octaria, PhD, MPH, earned her PhD in Epidemiology and MPH in Public Health from Vanderbilt University. Before her career in public health, she practiced as a family physician in Indonesia. Dr. Octaria worked as an Epidemiologist at the Tennessee Department of Health (TDH), where she managed surveillance data under the healthcare-associated infections and antimicrobial resistance (HAI-AR) program and led the COVID-19 data stewards team. Dr. Octaria is assigned to the National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, where she developed an interactive website to visualize patient transfer networks among healthcare facilities in the US and working on a project to model the regional transmissions of multidrug-resistant organisms (MDROs), improve transmission parameter estimation using surveillance data, and support mathematical modeling efforts for MDRO in Southeast Asia.
Presentation 3:
CDC Prevention Effectiveness Fellowship information session
The CDC Prevention Effectiveness Fellowship is a two-year postdoctoral fellowship that builds CDC’s capacity to assess the effectiveness and value of public health interventions and evidence-based decision-making in two tracks: Economic Analysis and Analytics & Modeling. The goal of this fellowship is to ensure there are well-trained health economists and modelers with expertise in policy analysis and skills to consider economic issues, advanced analytics and infectious disease modeling.
Bio
Adam G. Skelton, PhD, MPH, leads the Steven M. Teutsch Prevention Effectiveness (PE) Fellowship program at CDC. Dr. Skelton administers the two-year post-doctoral fellowship for health economists and quantitative policy analysts, and the two year “Modeling Track”. He facilitates collaboration among CDC’s economists and decision scientists, and coordinates training for fellows in economics, policy analysis, and modeling methods. Dr. Skelton holds a PhD in Health Services Research and an MPH in Epidemiology from the St. Louis University School of Public Health.
CDC Prevention Effectiveness Fellowship information session
The CDC Prevention Effectiveness Fellowship is a two-year postdoctoral fellowship that builds CDC’s capacity to assess the effectiveness and value of public health interventions and evidence-based decision-making in two tracks: Economic Analysis and Analytics & Modeling. The goal of this fellowship is to ensure there are well-trained health economists and modelers with expertise in policy analysis and skills to consider economic issues, advanced analytics and infectious disease modeling.
Bio
Adam G. Skelton, PhD, MPH, leads the Steven M. Teutsch Prevention Effectiveness (PE) Fellowship program at CDC. Dr. Skelton administers the two-year post-doctoral fellowship for health economists and quantitative policy analysts, and the two year “Modeling Track”. He facilitates collaboration among CDC’s economists and decision scientists, and coordinates training for fellows in economics, policy analysis, and modeling methods. Dr. Skelton holds a PhD in Health Services Research and an MPH in Epidemiology from the St. Louis University School of Public Health.