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- Hans Heesterbeek
- Faculty of Veterinary Medicine, University of Utrecht, Utrecht, Netherlands.
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- Roy M. Anderson
- School of Public Health, Imperial College, London, UK.
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- Viggo Andreasen
- Roskilde University, Roskilde, Denmark.
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- Shweta Bansal
- Georgetown University, Washington, DC, USA.
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- Daniela De Angelis
- MRC Biostatistics Unit, Cambridge, UK.
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- Chris Dye
- WHO, Geneva, Switzerland.
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- Ken T. D. Eames
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene Tropical Medicine, London, UK.
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- W. John Edmunds
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene Tropical Medicine, London, UK.
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- Simon D. W. Frost
- University of Cambridge, Cambridge, UK.
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- Sebastian Funk
- Georgetown University, Washington, DC, USA.
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- T. Deirdre Hollingsworth
- School of Life Sciences, University of Warwick, UK.
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- Thomas House
- Warwick Mathematics Institute, University of Warwick, Coventry, UK.
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- Valerie Isham
- Department of Statistical Science, University College London, London, UK.
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- Petra Klepac
- University of Cambridge, Cambridge, UK.
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- Justin Lessler
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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- James O. Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA.
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- C. Jessica E. Metcalf
- Department of Zoology, University of Oxford, Oxford, UK, and Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
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- Denis Mollison
- Heriot-Watt University, Edinburgh, UK.
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- Lorenzo Pellis
- Warwick Mathematics Institute, University of Warwick, Coventry, UK.
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- Juliet R. C. Pulliam
- Department of Biology–Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
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- Mick G. Roberts
- Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand.
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- Cecile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, NIH, Bethesda, MD, USA.
書誌事項
- 公開日
- 2015-03-13
- 権利情報
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- http://www.sciencemag.org/about/science-licenses-journal-article-reuse
- DOI
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- 10.1126/science.aaa4339
- 公開者
- American Association for the Advancement of Science (AAAS)
この論文をさがす
説明
<jats:title>Mathematical modeling of infectious diseases</jats:title> <jats:p> 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 <jats:italic>et al.</jats:italic> 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. </jats:p> <jats:p> <jats:italic>Science</jats:italic> , this issue <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" related-article-type="in-this-issue" xlink:href="10.1126/science.aaa4339">10.1126/science.aaa4339</jats:related-article> </jats:p>
収録刊行物
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- Science
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Science 347 (6227), aaa4339-, 2015-03-13
American Association for the Advancement of Science (AAAS)