title: Never mind the length, feel the quality: the impact of long-term epidemiological data sets on theory, application and policy.
abstract: Infectious diseases have been a prime testing ground for ecological theory. However, the ecological perspective is increasingly recognized as essential in epidemiology. Long-term, spatially resolved reliable data on disease incidence and the ability to test them using mechanistic models have been critical in this cross-fertilization. Here, we review some of the key intellectual developments in epidemiology facilitated by long-term data. We identify research frontiers at the interface of ecology and epidemiology and their associated data needs.
authors.affiliation: Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA. rohani@umich.edu
authors.forename: Pejman
authors.initials: P
authors.lastname: Rohani
authors.forename: Aaron A
authors.initials: AA
authors.lastname: King
mesh_terms: D000818:Animals; D004463:Ecology / Q000639:trends*; D004813:Epidemiology / Q000639:trends*; D006801:Humans; D017711:Nonlinear Dynamics; D011640:Public Policy; D012621:Seasons; D013269:Stochastic Processes
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