Jeffrey Shaman, PHD, focuses on climate, atmospheric science and hydrology, as well as biology, and studies the environmental determinants of infectious disease transmission and infectious disease forecast. For the former, Dr. Shaman investigates how hydrologic variability affects mosquito ecology and mosquito-borne disease transmission, how atmospheric conditions impact the survival, transmission and seasonality of pathogens, and, how meteorology affects human health, in general. For the latter, he is engaged in developing mathematical and statistical systems for generating forecasts of infectious disease outbreaks at a range of time scales. In addition, Dr. Shaman is studying a number of climate phenomena, including Rossby wave dynamics, atmospheric jet waveguides, the coupled South Asian monsoon-ENSO system, extratropical precipitation, and tropical cyclogenesis.
Member, Columbia Center for Environmental Health in Northern Manhattan
Director, Climate and Health Program
Sackler Institute for Comparative Genomics, American Museum of Natural History
Areas of Expertise
Select Urban Health Activities
Virome of Manhattan: This is an intensive, active surveillance program for influenza and other respiratory pathogens implemented with the aim of significantly advancing understanding of transmission dynamics, documenting the genetic basis of immune response to respiratory virus infection, bettering now-casting capabilities, and improving respiratory disease model simulation and forecast.
Kramer, S. and J. Shaman. Development and validation of influenza forecasting 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 forecast of influenza. PLOS Computational Biology, 15(2):e1006783, doi:10.1371/journal.pcbi.1006783.
Reich, N.G., L. Brooks, F. Spencer, S. Kandula, C. McGowan, E. Moore, D. Osthus, E. Ray, A. Tushar, T. Yamana, M. Biggerstaff, M.A. Johansson, R. Rosenfeld and J. Shaman, 2019: Forecasting seasonal influenza in the U.S.: a collaborative multi-year, multi-model assessment of forecast 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 in forecasting influenza-like illness. 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 virus among an ambulatory population across 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. Nature Microbiology, 3:265-267. doi:10.1038/s41564-018-0117-7.