title: Seven challenges for model-driven data collection in experimental and observational studies.
abstract: Infectious disease models are both concise statements of hypotheses and powerful techniques for creating tools from hypotheses and theories. As such, they have tremendous potential for guiding data collection in experimental and observational studies, leading to more efficient testing of hypotheses and more robust study designs. In numerous instances, infectious disease models have played a key role in informing data collection, including the Garki project studying malaria, the response to the 2009 pandemic of H1N1 influenza in the United Kingdom and studies of T-cell immunodynamics in mammals. However, such synergies remain the exception rather than the rule; and a close marriage of dynamic modeling and empirical data collection is far from the norm in infectious disease research. Overcoming the challenges to using models to inform data collection has the potential to accelerate innovation and to improve practice in how we deal with infectious disease threats.
authors.affiliation: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21224, USA. Electronic address: justin@jhu.edu.
authors.forename: J
authors.initials: J
authors.lastname: Lessler
authors.affiliation: London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
authors.forename: W J
authors.initials: WJ
authors.lastname: Edmunds
authors.affiliation: Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA 98195 USA; Center for Statistics and Quantitative Infectious Diseases, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
authors.forename: M E
authors.initials: ME
authors.lastname: Halloran
authors.affiliation: Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK; Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK.
authors.forename: T D
authors.initials: TD
authors.lastname: Hollingsworth
authors.affiliation: Department of Mathematics and Biomathematics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
authors.forename: A L
authors.initials: AL
authors.lastname: Lloyd
mesh_terms: D003141:Communicable Diseases / Q000453:epidemiology* / Q000635:transmission; D003625:Data Collection / Q000379:methods*; D015340:Epidemiologic Research Design; D006801:Humans; D015233:Models, Statistical; D064887:Observational Studies as Topic / Q000379:methods*
keywords: Data collection; Experimental studies; Modeling; Observational studies
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