Modeling infectious disease dynamics in the complex landscape of global health
Hans Heesterbeek, Roy M. Anderson, Viggo Andreasen, Shweta Bansal, Daniela De Angelis, Chris Dye, Ken T. D. Eames, W. John Edmunds, Simon D. W. Frost, Sebastian Funk, T. Deirdre Hollingsworth, Thomas House, Valerie Isham, Petra Klepac, Justin Lessler, James O. Lloyd-Smith, C. Jessica E. Metcalf, Denis Mollison, Lorenzo Pellis, Juliet R. C. Pulliam, Mick G. Roberts, Cecile Viboud
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Source: Crossref
Published: Mar 13, 2015
DOI: 10.1126/science.aaa4339
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Mathematical modeling of infectious diseases The spread of infectious diseases can be unpredictable. With the emergence of antibiotic resistance and worrying new viruses, and with ambitious plans for global eradication of polio and the elimination of malaria, the stakes have never been higher. Anticipation and measurement of the multiple factors involved in infectious disease can be greatly assisted by mathematical methods. In particular, modeling techniques can help to compensate for imperfect knowledge, gathered from large populations and under difficult prevailing circumstances. Heesterbeek et al. review the development of mathematical models used in epidemiology and how these can be harnessed to develop successful control strategies and inform public health policy. Science , this issue 10.1126/science.aaa4339
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