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Joseph Egger

Assistant Professor of the Practice of Global Health
Associate Director for Education, Research Design & Analysis Core
Duke Global Health Institute

Trent 236
(919) 613-4405

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Joe Egger


As part of the Duke Global Health Institute's Research Design & Analysis Core, Dr. Egger works closely with faculty on a number of experimental and observational studies related to both chronic and infectious diseases. Much of his research has focused on longitudinal data analysis, time series methods, and multi-level modeling of cross-sectional data. Prior to joining Duke, Joe was the lead epidemiologist for SciMetrika, a public health consulting firm based in Research Triangle Park, NC. Joe has worked in academic and government settings on a wide array of public health research topics, including HIV/AIDS, influenza, dengue, tobacco, obesity/nutrition, and cancers. Joe received his master's degree in medical geography from the University of Washington, and a PhD in infectious disease epidemiology from the London School of Hygiene & Tropical Medicine.

Office Hours: By appointment



Title Number Level Semester Requirements Fulfilled
Global Health Research: Quantitative Methods II

Modular course building on Quantitative Methods I. Required module provides common understanding of regression including linear, logistic, and general linear regression, use and interpretation of dichotomous and continuous variables, indicator terms, and interaction terms, and regression diagnostics.

Course Notes:
GRAD Only SPRING 2017 MSC: Core
PhD: Methods
Intermediate Epidemiology

Intermediate Epidemiology covers in-depth topics in epidemiology with a focus on the global health context. The course textbook is %u201CEpidemiology: Beyond the Basic%u201D by Moyses Szklo and Javier Nieto. The textbook will be supplemented with publications selected from the epidemiologic, clinical, nutritional and other literature. Topics covered in this course include epidemiologic study designs, measures of disease occurrence and associations with risk factors, confounding and interaction, time to event data, and methods for casual interference. Course content will focus on epidemiologic concepts. Related statistical concepts will be discussed, but data analysis will not be a focus.

Course Notes:
GRAD Only FALL 2017 MSC: Methods
MSC: Elective
PhD: Elective
PhD: Methods


Recent Publications

Sumner SA, Pallangyo AJ, Reddy EA, Maro V, Pence BW, Lynch C, Turner EL, Egger JR, Thielman NM. Effect of free distribution of safety equipment on usage among motorcycle-taxi drivers in Tanzania-A cluster randomised controlled trial. Injury. 2014 Nov;45(11):1681-6.

Xie G, Laskowitz DT, Turner EL, Egger JR, Shi P, Ren F, Gao W, Wu Y. Baseline health-related quality of life and 10-year all-cause mortality among 1739 Chinese adults. PLoS One. 2014 Jul 9;9(7):e101527. d

Wilson E, Egger JR, Nguyen T. A School Nurse Visit-Based Syndromic Surveillance System and Comparison to Emergency Department Visits, New York City. American Journal of Public Health. 2014 Jan;104(1):e50-6.

Agolory SG, Barbot O, Averhoff F, Weiss D, Konstan E, Egger JR, Wilson E, Miller J, Ogbuanu I, Walton S, Kahn E. Evaluation of Implementation of Non-pharmaceutical Interventions to Prevent 2009 Pandemic Influenza A (pH1N1) in New York City Public Schools. PLoS ONE, 2013 January, 8(1).

Weisfuse IB, Tsibane T, Konty KJ, Egger JR, Waddell EN, Rahmat S, Harris E, Olson DR, Basler CF. Seroprevalence of pandemic influenza viruses, New York, New York, USA, 2004. Emerg Infect Dis. 2012 Nov;18(11):1905-7.