Modeling infectious disease dynamics in the complex landscape of global health.

Heesterbeek, Hans; Anderson, Roy M; Andreasen, Viggo; Bansal, Shweta; De Angelis, Daniela; Dye, Chris; Eames, Ken TD; Edmunds, W John; Frost, Simon; Funk, Sebastian; Hollingsworth, T Deirdre; House, Thomas; Isham, Valerie; Klepac, Petra; Lessler, Justin; Lloyd-Smith, James O; Metcalf, C Jessica E; Mollison, Denis; Pellis, Lorenzo; Pulliam, Juliet RC; Roberts, Mick G; Viboud, Cecile; Isaac Newton Institute IDD Collaboration,

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Authors

Heesterbeek, Hans

Anderson, Roy M

Andreasen, Viggo

Bansal, Shweta

De Angelis, Daniela

Dye, Chris

Eames, Ken TD

Publication Date

2015-03

Journal Title

Science (New York, N.Y.)

ISSN

0036-8075

Volume

347

Issue

6227

Pages

aaa4339

Language

eng

Type

Article

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Citation

Heesterbeek, H., Anderson, R. M., Andreasen, V., Bansal, S., De Angelis, D., Dye, C., Eames, K. T., et al. (2015). Modeling infectious disease dynamics in the complex landscape of global health.. Science (New York, N.Y.), 347 (6227), aaa4339. https://doi.org/10.1126/science.aaa4339

Keywords

Isaac Newton Institute IDD Collaboration, Animals, Humans, Communicable Diseases, Communicable Diseases, Emerging, Zoonoses, Hemorrhagic Fever, Ebola, Public Health, Disease Outbreaks, Communicable Disease Control, Models, Biological, Health Policy, Basic Reproduction Number, Coinfection, Global Health

Identifiers

External DOI: https://doi.org/10.1126/science.aaa4339

This record's URL: https://www.repository.cam.ac.uk/handle/1810/278881

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