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Neal D. Goldstein, PhD, MBI

Neal Goldstein

Associate Research Professor of Epidemiology
Epidemiology and Biostatistics
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PhD, Epidemiology, Dornsife School of Public Health, Drexel University
MBI, Oregon Health & Science University (OHSU) School of Medicine


Neal D. Goldstein, PhD, MBI, is an Associate Research Professor of Epidemiology at the Drexel University Dornsife School of Public Health. With a background in biomedical informatics, he focuses on computational approaches in complex data settings, especially electronic health records and disease surveillance, to understand infectious disease transmission. This has been demonstrated through his work with blood borne pathogens (HIV and hepatitis C), COVID-19, vaccine preventable diseases, and healthcare associated infections.

As a recipient of an NIH K01 career development award, Dr. Goldstein is currently studying epidemiological aspects of HIV surveillance programs. This work aims to improve public health resource allocation by more accurately quantifying the HIV epidemic at a micro level.

Dr. Goldstein is well published, including authoring a book on conducting epidemiological analyses from electronic health records, several co-authored chapters in academic textbooks, and over sixty peer-reviewed publications in leading biomedical journals. His work has been profiled in national and local media outlets, including Kaiser Health News, Politico, Slate, Popular Science, the Philadelphia Inquirer, and WHYY, among others. He writes a science blog, which is available at

Research Interests

  • Data Anaylsis Methods
  • eHealth or mHealth
  • Infectious Disease
  • Maternal and Child Health
  • Reproductive or Sexual health
  • Spatial Analysis or GIS
  • Statistical Modeling
  • Vaccines and vaccinations
  • Electronic medical records/informatics
  • Translational epidemiology


Goldstein ND, Kahal D, Testa K, Gracely EJ, Burstyn I. Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic Codes. Harvard Data Science Review. 2022 Apr 28. DOI: 10.1162/99608f92.cbe67e91 [code: 10.5281/zenodo.5899411]

Goldstein ND, Burstyn I. Further Improving Analysis of Date-Based COVID-19 Surveillance Data. Am J Public Health. 2022 May;112(5):e1-e2. DOI: 10.2105/AJPH.2022.306759 [code: 10.5281/zenodo.5798398]

Goldstein ND, Suder JS. Towards Eliminating Nonmedical Vaccination Exemptions Among School-Age Children. Dela J Public Health. 2022 Mar 29;8(1):84-88. DOI: 10.32481/djph.2022.03.014 (pdf)

Goldstein ND, Webster JL, Robinson LF, Welles SL. Disparities of COVID-19 and HIV Occurrence Based on Neighborhood Infection Incidence in Philadelphia, Pennsylvania. Am J Public Health. 2022 Mar;112(3):408-416. DOI: 10.2105/AJPH.2021.306538 [code: 10.5281/zenodo.5020468]

Webster JL, Paul D, Purtle J, Locke R, Goldstein ND. State-Level Social and Economic Policies and Their Association With Perinatal and Infant Outcomes. Milbank Q. 2022 Mar;100(1):218-260. DOI: 10.1111/1468-0009.12548

Gianfrancesco MA, Goldstein ND. A narrative review on the validity of electronic health record-based research in epidemiology. BMC Med Res Methodol. 2021 Oct 27;21(1):234. DOI: 10.1186/s12874-021-01416-5

Tran NK, Lash TL, Goldstein ND. Practical data considerations for the modern epidemiology student. Global epidemiology. Glob Epidemiol. 2021 Nov;3:100066. DOI: 10.1016/j.gloepi.2021.100066

Tran NK, Goldstein ND, Welles SL. Countering the rise of syphilis: A role for doxycycline post-exposure prophylaxis? Int J STD AIDS. 2021 Sep 26:9564624211042444. DOI: 10.1177/09564624211042444 [code: 10.5281/zenodo.5116284]

Goldstein ND, Quick H, Burstyn I. Effect of adjustment for case misclassification and infection date uncertainty on estimates of COVID-19 effective reproduction number. Epidemiology. 2021 Jul 19. DOI: 10.1097/EDE.0000000000001402 [code: 10.5281/zenodo.5009050]

View the full listing on PubMed