Citation
Heesterbeek, Hans; Anderson, Roy M.; Andreasen, Viggo; Bansal, Shweta; De Angelis, Daniela; Dye, Chris; Eames, Ken T. D.; Edmunds, W. John; Frost, Simon D. W.; & Funk, Sebastian, et al. (2015). Modeling Infectious Disease Dynamics in the Complex Landscape of Global Health. Science, 347(6227), aaa4339. PMCID: PMC4445966Abstract
Despite some notable successes in the control of infectious diseases, transmissible pathogens still pose an enormous threat to human and animal health. The ecological and evolutionary dynamics of infections play out on a wide range of interconnected temporal, organizational, and spatial scales, which span hours to months, cells to ecosystems, and local to global spread. Moreover, some pathogens are directly transmitted between individuals of a single species, whereas others circulate among multiple hosts, need arthropod vectors, or can survive in environmental reservoirs. Many factors, including increasing antimicrobial resistance, increased human connectivity and changeable human behavior, elevate prevention and control from matters of national policy to international challenge. In the face of this complexity, mathematical models offer valuable tools for synthesizing information to understand epidemiological patterns, and for developing quantitative evidence for decision-making in global health.URL
http://dx.doi.org/10.1126/science.aaa4339Reference Type
Journal ArticleYear Published
2015Journal Title
ScienceAuthor(s)
Heesterbeek, HansAnderson, Roy M.
Andreasen, Viggo
Bansal, Shweta
De Angelis, Daniela
Dye, Chris
Eames, Ken T. D.
Edmunds, W. John
Frost, Simon D. W.
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 R. C.
Roberts, Mick G.
Viboud, Cecile
Isaac Newton Institute IDD Collaboration,