Aditya Khanna
· Associate Professor of Behavioral and Social SciencesBrown University · Epidemiology
Active 1997–2026
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About
Aditya Khanna is an Associate Professor of Behavioral and Social Sciences at Brown University, specializing in computational social science with a focus on modeling biobehavioral health systems to inform policy initiatives aimed at achieving health equity. His research primarily employs network analysis, agent-based modeling, and predictive analytics to address public health challenges, including HIV prevention among sexual and gender minorities, substance use behaviors, incarceration, breast cancer screening, and COVID-19. Khanna's work aims to fill gaps in empirical data by integrating diverse sources to create model-based representations of real-world systems, thereby generating insights into components of public health systems that are less understood. He has led modeling efforts within multidisciplinary teams of behavioral scientists, clinicians, epidemiologists, statisticians, biologists, and community stakeholders, contributing to initiatives such as the Getting to Zero HIV Elimination project in Illinois and HIV elimination efforts in Los Angeles and Houston. His background includes a Ph.D. in Quantitative Ecology and an M.S. in Statistics from the University of Washington, with postdoctoral training in Global Health at the University of Washington and Infectious Diseases at the University of Chicago. Khanna's approach connects ecological modeling principles with public health, considering behavioral dynamics, age stratification, network structures, and migration…
Research topics
- Information Retrieval
- Machine Learning
- Computer Science
- Data Mining
- Artificial Intelligence
- Medicine
- Biology
- Physical therapy
- Nursing
- Internal medicine
Selected publications
Annals of Epidemiology · 2022-06-18 · 12 citations
articleOpen accessOpen Forum Infectious Diseases · 2024-09-27 · 8 citations
articleOpen accessBackground: Human immunodeficiency virus (HIV) remains a global challenge and novel measures for transmission disruption are needed. Contact tracing is limited by reluctance or inability of newly diagnosed individuals to name at-risk contacts. Molecular cluster analysis is mostly used for outbreak investigations, and its role in routine public health activities remains uncertain. Methods: We conducted a 2-year prospective statewide study in Rhode Island to evaluate integration of HIV cluster ana…
Expanding Medicaid to Reduce Human Immunodeficiency Virus Transmission in Houston, Texas
Medical Care · 2022-12-08 · 8 citations
articleOpen accessCONTEXT: Medicaid expansion has been nationally shown to improve engagement in the human immunodeficiency virus (HIV) treatment and prevention continua, which are vital steps to stopping the HIV epidemic. New HIV infections in the United States are disproportionately concentrated among young Black men who have sex with men (YBMSM). Houston, TX, is the most populous city in the Southern United States with a racially/ethnically diverse population that is located in 1 of 11 US states that have not…
Epidemiology · 2022-09-22 · 7 citations
articleOpen accessBACKGROUND: Summarizing the impact of community-based mitigation strategies and mobility on COVID-19 infections throughout the pandemic is critical for informing responses and future infectious disease outbreaks. Here, we employed time-series analyses to empirically investigate the relationships between mitigation strategies and mobility on COVID-19 incident cases across US states during the first three waves of infections. METHODS: We linked data on daily COVID-19 incidence by US state from Mar…
The Lancet Regional Health - Americas · 2023-11-09 · 6 citations
articleOpen accessSenior authorBackground: Understanding the impact of incarceration on HIV transmission among Black men who have sex with men is important given their disproportionate representation among people experiencing incarceration and the potential impact of incarceration on social and sexual networks, employment, housing, and medical care. We developed an agent-based network model (ABNM) of 10,000 agents representing young Black men who have sex with men in the city of Chicago to examine the impact of varying degree…
Recent grants
NIH · $487k · 2023–2026
NIH · $34.9M · 2019–2029
NIH · $162k · 2021–2021
Frequent coauthors
- 96 shared
John A. Schneider
University of Chicago
- 30 shared
Nina T. Harawa
Charles R. Drew University of Medicine and Science
- 27 shared
Kayo Fujimoto
The University of Texas Health Science Center at Houston
- 22 shared
Anna Hotton
University of Chicago
- 21 shared
Jonathan Ozik
University of Chicago
- 18 shared
Russell Brewer
University of Chicago
- 18 shared
Yamilé Molina
University of Illinois Chicago
- 17 shared
Nyahne Q. Bergeron
University of Illinois Chicago
Labs
Not provided
Education
- 2012
Ph.D.
University of Washington
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