University of Washington

Health Systems and Population Health

SCHOOL OF PUBLIC HEALTH

Faculty Member


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Neil F Abernethy photo

Neil F Abernethy

Associate Professor, Health Systems and Population Health
Associate Professor, Biomedical Informatics and Medical Education

206-616-2813 | neila@uw.edu

Box 357240
University of Washington, Seattle, WA 98195

Research Interests

Public Health Informatics standards, epidemic models, and molecular epidemiology in the context of global health; scientific and social networks as they pertain to collaborative research; novel 3-D imaging displays; environmental interventions for infectious disease; high-throughput biology; evolutionary game theory.

Education

PhD Biomedical Informatics, Stanford University, 2005
BS Applied Math, Biochemistry, North Carolina State University, 1993

Academic Programs and Affiliations

Recent Publications (PubMed)

Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model.
PubMed
Mittler JE, Murphy JT, Stansfield SE, Peebles K, Gottlieb GS, Abernethy NF, Reid MC, Goodreau SM, Herbeck JT. Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model. PLo
Models to predict the public health impact of vaccine resistance: A systematic review.
PubMed
Reid MC, Peebles K, Stansfield SE, Goodreau SM, Abernethy N, Gottlieb GS, Mittler JE, Herbeck JT. Models to predict the public health impact of vaccine resistance: A systematic review. Vaccine. 2019 Aug 14;37(35):4886-4895. doi: 10.1016/j.vaccine.2019.07.
Relational concurrency, stages of infection, and the evolution of HIV set point viral load.
PubMed
Goodreau SM, Stansfield SE, Murphy JT, Peebles KC, Gottlieb GS, Abernethy NF, Herbeck JT, Mittler JE. Relational concurrency, stages of infection, and the evolution of HIV set point viral load. Virus Evol. 2018 Nov 21;4(2):vey032. doi: 10.1093/ve/vey032.
HIV population-level adaptation can rapidly diminish the impact of a partially effective vaccine.
PubMed
Herbeck JT, Peebles K, Edlefsen PT, Rolland M, Murphy JT, Gottlieb GS, Abernethy N, Mullins JI, Mittler JE, Goodreau SM. HIV population-level adaptation can rapidly diminish the impact of a partially effective vaccine. Vaccine. 2018 Jan 25;36(4):514-520.
Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians.
PubMed
Overby CL, Devine EB, Abernethy N, McCune JS, Tarczy-Hornoch P. Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians. J Biomed Inform. 2015 Jun;55:249-59. doi: 10.1016/j.jbi.2015.04.011. Epub 2015 Ma
Visualization and analytics tools for infectious disease epidemiology: a systematic review.
PubMed
Carroll LN, Au AP, Detwiler LT, Fu TC, Painter IS, Abernethy NF. Visualization and analytics tools for infectious disease epidemiology: A systematic review. J Biomed Inform. 2014 Oct;51C:287-298. doi: 10.1016/j.jbi.2014.04.006. Epub 2014 Apr 16. Review.
Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.
PubMed
Devine EB, Lee CJ, Overby CL, Abernethy N, McCune J, Smith JW, Tarczy-Hornoch P. Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approa
Expanding assessments of translational research programs: supplementing metrics with value judgments.
PubMed
Scott CS, Nagasawa PR, Abernethy NF, Ramsey BW, Martin PJ, Hacker BM, Schwartz HD, Brock DM, Robins LS, Wolf FM, Carter-Dubois M, Disis ML. Expanding assessments of translational research programs: supplementing metrics with value judgments. Eval Health P
Using random walks to identify cancer-associated modules in expression data.
PubMed
Petrochilos D, Shojaie A, Gennari J, Abernethy N. Using random walks to identify cancer-associated modules in expression data. BioData Min. 2013 Oct 15;6(1):17. doi: 10.1186/1756-0381-6-17.
Key findings and lessons from an evaluation of the Rockefeller Foundation’s Disease Surveillance Networks Initiative.
PubMed
Macpherson N, Kimball AM, Burke C, Abernethy N, Tempongko S, Zinsstag J. Key findings and lessons from an evaluation of the Rockefeller Foundation’s Disease Surveillance Networks Initiative. Emerg Health Threats J. 2013;6. doi: 10.3402/ehtj.v6i0.19959. Ep

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