Issue No.04 - July-Aug. (2013 vol.28)
Madhav V. Marathe , Virginia Tech
Naren Ramakrishnan , Virginia Tech
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2013.114
Public health epidemiology aims to understand the spatiotemporal spread of diseases and to develop methods to control such spread. Computational epidemiology has become increasingly multidisciplinary and has led to novel computational methods for understanding and controlling spatiotemporal disease spread. Recent advances focus specifically on modeling, data mining, and inferential and planning questions.
Medical services, Epidemiology, Computational modeling,intelligent systems, public health epidemiology, computational epidemiology, machine learning, data mining
Madhav V. Marathe, Naren Ramakrishnan, "Recent Advances in Computational Epidemiology", IEEE Intelligent Systems, vol.28, no. 4, pp. 96-101, July-Aug. 2013, doi:10.1109/MIS.2013.114