Modeling infectious disease dynamics in the complex landscape of global health

Hans Heesterbeek, Roy Anderson, Viggo Andreasen, Shweta Bansal, Daniella De Angelis, Chris Dye, Ken Eames, W. John Edmunds, Simon D W Frost, Sebastian Funk, T Deirdre Hollongsworth, Thomas House, Valerie Isham, Petra Klepac, Justin Lessler, James O Lloyd-Smith, C. Jessica E. Metcalf, Denis Mollison, Lorenzo Pellis, Juliet R C PulliamMick G Roberts, Cecile Viboud, Isaac Newton Institute IDD Collaboration

Publikation: Bidrag til tidsskriftReviewForskningpeer review

Abstract

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
OriginalsprogEngelsk
Artikelnummer aaa4339
TidsskriftScience
Vol/bind347
Udgave nummer6227
Antal sider10
ISSN0036-8075
DOI
StatusUdgivet - 13 mar. 2015

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