Ritter Annex 905
1301 Cecil B. Moore Ave.
Philadelphia, PA 19122
- Postdoctoral, Global Public Health, University of California San Diego
- PhD, Infectious Disease Epidemiology, Johns Hopkins University
- MPH, Infectious Disease Epidemiology, Columbia University
- BA, Biology, Franklin and Marshall College
Dr. Abby E. Rudolph is an Infectious Disease and Social Epidemiologist whose research incorporates social network and spatial approaches to better understand the independent and combined influence of individual, network (sociometric and egocentric), and environmental (built and social) factors on disease transmission, recruitment patterns, risk behaviors, overdose prevention, and health service use among marginalized populations. Her publications cover a range of topics including stigma related to drug use and HIV/AIDS, privacy and confidentiality considerations for data collection tools and approaches, recruitment strategies for “hidden populations”, network and neighborhood correlates of HIV and related risk behaviors, innovative methods for measuring the independent and combined influence of spatial and network factors on recruitment dynamics and risk/health behaviors, and interventions to connect marginalized populations with health services. She has also implemented and evaluated Respondent-Driven Sampling (RDS) in a variety of different study populations and settings including persons who use drugs, persons who inject drugs, and men who have sex with men, both domestically and internationally. Her research on RDS uncovered recruitment biases related to geographic proximity, disease status, and relationship characteristics and recommends approaches to account for biases in the analysis. She has also developed a web-based data collection software for collecting spatial data on risk locations, a patient navigation website for individuals who use drugs, and an overdose prevention mobile app prototype. More about Abby's research can be found at abbyrudolph.com.
- Substance Use
- Social Network Analysis
- Spatial Analysis
- Research Ethics