Overview
Dr. Dana K Pasquale earned a PhD in infectious disease epidemiology from UNC-Chapel Hill, earned an MPH in health behavior from East Carolina University, and completed three years as a postdoc in the Duke University Department of Sociology. She combines social network and pathogen genetic data to study infectious disease transmission networks. The majority of Dana’s work is domestic, examining HIV and syphilis transmission in North Carolina. She also uses clonal bacterial data, pathogen genetic data, and location information to study hospital-acquired multi-drug resistant infections. Dana is the PI of Duke RDS^2: Respondent-Driven Sampling for Respiratory Disease Surveillance, a CDC-funded snowball sampling study to locate active, undiagnosed SARS-CoV-2 cases in Durham County. She is also externally funded by NIH and NSF as a co-Investigator.
Current Duke Appointments & Affiliations
Assistant Professor in Population Health Sciences
·
2022 - Present
Population Health Sciences,
Basic Science Departments
Affiliate, Duke Global Health Institute
·
2025 - Present
Duke Global Health Institute,
University Institutes and Centers
Recent Scholarly Works
A network analysis of carbapenem-resistant Klebsiella pneumoniae among healthcare facilities.
Journal article Sci Rep · July 29, 2025 With limited treatments for carbapenem-resistant Klebsiella pneumoniae (CRKp), curtailing transmission is critical. We applied a network analysis using epidemiological admission data and bacterial genetics to characterize CRKp spread among patients in 16 a ... Full text Link to item CiteIdentifying outbreak risk factors through case-controls comparisons.
Journal article Commun Med (Lond) · May 30, 2025 Outbreaks are typically investigated using approaches that aim to identify place- and context-dependent causative factors. As the focus is on understanding the basis of a specific outbreak, the resulting narratives are rarely suitable for forecasting risk ... Full text Link to item CiteConsiderations for Social Networks and Health Data Sharing: An Overview.
Journal article Ann Epidemiol · February 2025 The use of network analysis as a tool has increased exponentially as more clinical researchers see the benefits of network data for modeling of infectious disease transmission or translational activities in a variety of areas, including patient-caregiving ... Full text Link to item CiteRecent Grants
Balancing long-acting and daily HIV treatments to make progress toward EHE goals
ResearchPrincipal Investigator · Awarded by GlaxoSmithKline LLC · 2026 - 2029Increasing the yield of HIV contact tracing for prevention using network models
ResearchPrincipal Investigator · Awarded by National Institute of Allergy and Infectious Diseases · 2024 - 2027Collaborative Research: HNSD-I: IDEANet - Integrating Data Exchange and Analysis of Networks
ResearchCo Investigator · Awarded by National Science Foundation · 2021 - 2025View All Grants
Education
University of North Carolina, Chapel Hill, School of Medicine ·
2018
Ph.D.
East Carolina University, Brody School of Medicine ·
2009
M.P.H.