title: Seven challenges in modeling vaccine preventable diseases.
abstract: Vaccination has been one of the most successful public health measures since the introduction of basic sanitation. Substantial mortality and morbidity reductions have been achieved via vaccination against many infections, and the list of diseases that are potentially controllable by vaccines is growing steadily. We introduce key challenges for modeling in shaping our understanding and guiding policy decisions related to vaccine preventable diseases.
authors.affiliation: Department of Ecology and Evolutionary Biology and the Woodrow Wilson School, Princeton University, Princeton, NJ, USA. Electronic address: cmetcalf@princeton.edu.
authors.forename: C J E
authors.initials: CJ
authors.lastname: Metcalf
authors.affiliation: Department of Science, Systems and Models, Universitetsvej 1, 27.1, DK-4000 Roskilde, Denmark.
authors.forename: V
authors.initials: V
authors.lastname: Andreasen
authors.affiliation: Centre for Infectious Disease Dynamics, the Pennsylvania State University, State College, PA, USA.
authors.forename: O N
authors.initials: ON
authors.lastname: Bjørnstad
authors.affiliation: Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
authors.forename: K
authors.initials: K
authors.lastname: Eames
authors.affiliation: Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
authors.forename: W J
authors.initials: WJ
authors.lastname: Edmunds
authors.affiliation: Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
authors.forename: S
authors.initials: S
authors.lastname: Funk
authors.affiliation: Warwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK.
authors.forename: T D
authors.initials: TD
authors.lastname: Hollingsworth
authors.affiliation: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
authors.forename: J
authors.initials: J
authors.lastname: Lessler
authors.affiliation: Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
authors.forename: C
authors.initials: C
authors.lastname: Viboud
authors.affiliation: Department of Ecology and Evolutionary Biology and the Woodrow Wilson School, Princeton University, Princeton, NJ, USA; Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
authors.forename: B T
authors.initials: BT
authors.lastname: Grenfell
mesh_terms: D003140:Communicable Disease Control / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D003141:Communicable Diseases / Q000276:immunology; D006291:Health Policy; D006801:Humans; D007113:Immunity, Innate; D015233:Models, Statistical; D014612:Vaccines / Q000191:economics / Q000627:therapeutic use*
chemical_list: D014612:Vaccines
keywords: Coverage; Elimination; Immunity; Modeling; Vaccination
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