Assistant Research Professor
Epidemiology and Biostatistics
PhD, Epidemiology, Dornsife School of Public Health, Drexel University; MBI, Oregon Health & Science University (OHSU) School of Medicine
Neal D. Goldstein, PhD, MBI is Assistant 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 to understand infectious disease transmission among vulnerable populations. This has been demonstrated through his work in COVID-19, HIV, healthcare associated infections, and vaccination and vaccine-preventable diseases.
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 fifty 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 www.goldsteinepi.com/blog.
- 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, Wheeler DC, Gustafson P, Burstyn I. A Bayesian approach to improving spatial estimates of prevalence of COVID-19 after accounting for misclassification bias in surveillance data in Philadelphia, PA. Spat Spatiotemporal Epidemiol. 2021 Feb;36:100401. DOI: 10.1016/j.sste.2021.100401 [code: 10.5281/zenodo.4116290]
Goldstein ND, Palumbo AJ, Bellamy SL, Purtle J, Locke R. State and Local Government Expenditures and Infant Mortality in the United States. Pediatrics. 2020 Oct 19:e20201134. DOI: 10.1542/peds.2020-1134 [code: 10.5281/zenodo.3972165]
Goldstein ND, LeVasseur MT, McClure LA. On the Convergence of Epidemiology, Biostatistics, and Data Science. Harvard Data Science Review. 2020 Apr 30. DOI: 10.1162/99608f92.9f0215e6
Goldstein ND, Purtle J, Suder JS. Association of Vaccine-Preventable Disease Incidence With Proposed State Vaccine Exemption Legislation. JAMA Pediatr. 2019 Nov 18. DOI: 10.1001/jamapediatrics.2019.4365 [code: zenodo.3241849]
Goldstein ND, Suder JS, Purtle J. Trends and characteristics of proposed and enacted state legislation on childhood vaccination exemption, 2011 – 2017. Am J Public Health. 2018 Nov 29:e1-e6. DOI: 10.2105/AJPH.2018.304765 [code: zenodo.1409660]
Goldstein ND. Commentary: Towards open source epidemiology. Epidemiology. 2018 Mar;29(2):161-164. DOI: 10.1097/EDE.0000000000000782
Goldstein ND, Eppes SC, Mackley A, Tuttle D, Paul DA. A network model of hand hygiene: How good is good enough to stop the spread of MRSA? Infect Control Hosp Epidemiol. 2017 Jun 28:1-8. DOI: 10.1017/ice.2017.116 [code: zenodo.821632]
Goldstein ND, Burstyn I, Welles SL. Bayesian approaches to racial disparities in HIV risk estimation among men who have sex with men. Epidemiology. 2017 Mar;28(2):215-220. DOI: 10.1097/EDE.0000000000000582[code: zenodo.844100]
Goldstein ND, Welles SL, Burstyn I. To be or not to be: Bayesian correction for misclassification of self-reported sexual behaviors among men who have sex with men. Epidemiology. 2015 Sep;26(5):637-44. DOI: 10.1097/EDE.0000000000000328 [code: zenodo.844102]
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