For information and resources regarding returning to campus and COVID-19 please visit the university COVID-19 website

Justin Manjourides, PhD

Associate Professor

Department of Health Sciences, Faculty

Office: 316D Robinson Hall

Email: [email protected]

Phone: 617.373.5544

View Résumé/CV

Dr. Justin Manjourides’ current research interests involve developing new statistical methodologies to better analyze spatial and temporal health data in the presence of missing or misspecified information, with specific applications to disease surveillance and occupational health interventions. He is currently working across several NIH, EPA, and CDC funded grants involving research ranging from the estimating the health effects of environmental exposures, risk mapping of drug-resistance tuberculosis, and occupational health and wellbeing interventions for construction workers.

Ph.D. Biostatistics, Harvard University
AM Biostatistics, Harvard University
BA Mathematics, University of Florida
BA Statistics, University of Florida

Northeastern Centers & Institutes

Research Interests
Statistical modeling, Machine learning, Study design, Measurement error

PHTH 2210 – Foundations of Biostatistics
PHTH 5210 – Biostatistics in Public Health

Selected Recent Publications
Manjourides J & Dennerlein JT. (2019). Associations between leading and lagging indicators in a contractor safety pre-qualification database. American Journal of Industrial Medicine. 62(4), 317-324.

Brooks MB*, Keshavjee S, Gelmanova I, Mitnick C, & Manjourides J. (2018). Use of predicted vital status to improve the analysis of multidrug-resistant tuberculosis cohorts. BMC Research Methodology, 18 (1),166-175.

Eum KD, Suh HH, Pun V, & Manjourides J. (2018). Adjusting for long-term trends in incidence rates of all-cause mortality associated with annual PM5 exposure: An analysis of 20 million Medicare beneficiaries. Environmental Epidemiology, 2(2), e009.

Pun V, Manjourides J, & Suh HH. (2017). Association of ambient air pollution with depression, anxiety and perceived stress in older adults: results from the NSHAP study. Environmental Health Perspectives, 125(3), 342-348.

Intille S, Haynes C*, Maniar D, Ponnada A*, & Manjourides J. (2016). μEMA: Microinteraction-based ecological momentary assessment (EMA) using a smartwatch. CHI: Conference for Computer Human Interaction. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 1124-1128.

Selected Public Service
Associate Editor, BMC Public Health

Personal Website