About

 

We apply advanced modeling techniques to novel data sources in order to predict and detect outbreaks and other public health trends, especially during times of great uncertainty such as epidemics or large public events.

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Selected Publications

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Barak-Corren Y, Reis BY. Internet activity as a proxy for vaccination compliance. Vaccine. 2015 May 15;33(21):2395-8.

 

Wang JF, Reis BY, Hu MG, Christakos G, Yang WZ, Sun Q, Li ZJ, Li XZ, Lai SJ, Chen HY, Wang DC. Area disease estimation based on sentinel hospital records. PLoS One. 2011;6(8):e23428.
 

Reis BY, Brownstein JS. Measuring the impact of health policies using Internet search patterns: the case of abortion. BMC Public Health. 2010 Aug 25;10:514.

 

Fine AM, Reis BY, Nigrovic LE, Goldmann DA, LaPorte TN, Olson KN, Mandl KD. Use of Population Health Data to Refine Diagnostic Decision Making for Pertussis. JAMIA, 2010 Jan-Feb;17: 85-90.

 

Reis BY, Kirby C, Hadden LE, Olson K, McMurry AJ, Daniel JB, Mandl KD. AEGIS: a robust and scalable real-time public health surveillance system. J Am Med Inform Assoc. 2007 Sep-Oct;14(5):581-8.

 

Reis, B.Y., Kohane, I.S., Mandl, K.D. An Epidemiological Network Model for Disease Outbreak Detection, PLoS Medicine, 2007 4(6): e210

 

McMurry, A.J., Gilbert, C.A., Reis, B.Y., Chueh, H.C., Kohane, I. S., Mandl, K.D., A Self Scaling, Distributed Architecture for Public Health, Research, and Clinical Care. JAMIA, 2007;14(4):527-533