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


Heesterbeek, H; Anderson, RM; Andreasen, V; Bansal, S; De Angelis, D; Dye, C; Eames, KT; Edmunds, WJ; Frost, SD; Funk, S; Hollingsworth, TD; House, T; Isham, V; Klepac, P; Lessler, J; Lloyd-Smith, JO; Metcalf, CJ; Mollison, D; Pellis, L; Pulliam, JR; Roberts, MG; Viboud, C; Isaac Newton Institute IDD Collaboration, ; (2015) Modeling infectious disease dynamics in the complex landscape of global health. Science (New York, NY), 347 (6227). aaa4339. ISSN 0036-8075 DOI: 10.1126/science.aaa4339

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Abstract

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.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Research Centre: Centre for the Mathematical Modelling of Infectious Diseases
PubMed ID: 25766240
URI: http://researchonline.lshtm.ac.uk/id/eprint/2130282

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