Public Health Intelligence and the Internet

National Library of Congress and the Smithsonian. Dr. Brownstein has advised the World Health Organization, Institute of Medicine, the US Department of Health and Human Services, and the White House on real-time public health surveillance. He plays a leading role in a number of international committees including as a Board Member of the International Society for Disease Surveillance. He was recently awarded the Presidential Early Career Award for Scientists and Engineers, the highest honor bestowed by the United States government on outstanding scientists and engineers. He has authored over a hundred peer-reviewed articles on epidemiology and public health, and his work has been reported on widely, including pieces in the New England Journal of Medicine, Science, Nature, New York Times, The Wall Street Journal, CNN, National Public

Dr. David L. Buckeridge, MD, PhD

David L. Buckeridge is an Associate Professor of Epidemiology and Biostatistics at McGill University in Montreal, Canada, where he holds a Canada Institutes of Health Research Chair (CRC) in applied public health. He is also a Medical Consultant to the Institut national de santé publique du Québec and the Direction de santé publique de Montreal. He received his MD degree in Community Medicine from Queen's University, Canada, his M.Sc. in Epidemiology from the University of Toronto, Canada, and his PhD in Biomedical Informatics from Stanford University, USA. He is a fellow of the Royal College of Physicians and Surgeons of Canada with specialty training in Public Health and Preventive Medicine. Dr. Buckeridge provides advice on surveillance to groups such as the World Health Organization (WHO), the Institute of Medicine, and the U.S. and Chinese Centers for Disease Control and Prevention. He conducts research on the informatics of public health surveillance. In particular, he is interested in the development and evaluation of methods for surveillance systems that use clinical and administrative data. His previous and ongoing works include the development of statistical methods for outbreak detection and the use of simulation modeling.