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Jeffrey Shaman


Jeffrey Shaman is Professor in the Department of Environmental Health Sciences and Director of the Climate and Health Program at Columbia University's Mailman School of Public Health. He studies the survival, transmission and ecology of infectious agents, including the effects of meteorological and hydrological conditions on these processes. Previous work has mainly focused on mosquito-borne and respiratory pathogens. He uses mathematical and statistical models to describe, understand, and predict the dynamics of transmission of these disease systems and to study the broader effects of climate and weather on human health.


Infectious diseases for the environment and health


PhD, 2003, Columbia University MA, 2000, Columbia University BA, 1990, University of Pennsylvania

Postman Affiliations

Member, Columbia Center for Environmental Health in Northern Manhattan Director, Climate and Health Program

Columbia Affiliations

Associate Chair, Earth Institute Associate Member, Data Science Institute

Other affiliations

Center for Communicable Disease Dynamics Sackler Institute for Comparative Genomics, American Museum of Natural History

areas of expertise

Climate and health, new infections, epidemics, infectious diseases

Choose urban health activities

Virome of Manhattan : This is an intensive, active surveillance program for influenza and other respiratory pathogens that is carried out with the aim of significantly improving understanding of the dynamics of transmission, documenting the genetic basis of the immune response to respiratory virus infection, increasing the ability to shed infections improve and improve the model for respiratory disease simulation and prognosis.

Select publications

Kramer, S. and J. Shaman, 2019: Developing and Validating Influenza Predictions for 64 Temperate and Tropical Countries. PLOS Computational Biology, 15 (2): e1006742, doi: 10.1371 / journal.pcbi.1006742. Pei, S., M. Cane and J. Shaman, 2019: Predictability in Process-Based Ensemble Prediction of Influenza. PLOS Computational Biology, 15 (2): e1006783, doi: 10.1371 / journal.pcbi.1006783. Reich, NG, L. Brooks, F. Spencer, S. Kandula, C. McGowan, E. Moore, D. Osthus, E. Ray, A. Tushar, T. Yamana, M. Biggerstaff, MA Johansson, R. Rosenfeld and J. Shaman, 2019: Forecasting Seasonal Influenza in the US: a collaborative multi-year, cross-model assessment of forecasting performance. Proceedings of the National Academy of Sciences, 116 (8): 3146-3154, doi: 10.1073 / pnas.1812594116. Pei, S., F. Morone, F. Liljeros, H.A. Makse and J. Shaman, 2018: Inference of the nosocomial transmission dynamics of methicillin-resistant Staphylococcus aureus. eLife, 7: e40977, doi: 10.7554 / eLife.40977. Kandula, S., T. Yamana, S. Pei, W. Yang, H. Morita and J. Shaman, 2018. Evaluation of mechanistic and statistical methods for predicting influenza-like illnesses. Journal of the Royal Society Interface, 15: 20180174, doi: 10.1098 / rsif.2018.0174. Birger R., H. Morita, D. Comito, I. Filip, M. Galanti, B. Lane, C. Ligon, D. Rosenbloom, A. Shittu, M. Ud-Dean, R. Desalle, P. Planet and J. Shaman, 2018. Asymptomatic shedding of respiratory viruses in an ambulatory population across the seasons. mSphere, 3: e00249-18, doi: 10.1128 / mSphere.00249-18. Gervais, M., J. Shaman and Y. Kushnir, 2018. Mechanisms Governing the Development of the North Atlantic Warming Hole in the CESM-LE Future Climate Simulations. Journal of Climate, 31 (15): 5927-5946, doi: 10.1175 / JCLI-D-17-0635.1. Shaman, J., 2018: Pandemic preparedness and forecast. Natural Microbiology, 3: 265-267. doi: 10.1038 / s41564-018-0117-7.

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