Dr Ireneous Soyiri I.N.Soyiri@hull.ac.uk
Senior Lecturer in Epidemiology
Dr Ireneous Soyiri I.N.Soyiri@hull.ac.uk
Senior Lecturer in Epidemiology
Daniel D. Reidpath
Dr Ireneous Soyiri I.N.Soyiri@hull.ac.uk
Project Leader
Health forecasting forewarns the health community about future health situations and disease episodes so that health systems can better allocate resources and manage demand. The tools used for developing and measuring the accuracy and validity of health forecasts commonly are not defined although they are usually adapted forms of statistical procedures. This review identifies previous typologies used in classifying the forecasting methods commonly used in forecasting health conditions or situations. It then discusses the strengths and weaknesses of these methods and presents the choices available for measuring the accuracy of health-forecasting models, including a note on the discrepancies in the modes of validation. © 2012 Soyiri and Reidpath, publisher and licensee Dove Medical Press Ltd.
Soyiri, I. N., & Reidpath, D. D. (2012). Evolving forecasting classifications and applications in health forecasting. International Journal of General Medicine, 5, 381-389. https://doi.org/10.2147/IJGM.S31079
Journal Article Type | Review |
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Acceptance Date | Mar 10, 2012 |
Publication Date | May 23, 2012 |
Deposit Date | May 15, 2019 |
Journal | International Journal of General Medicine |
Print ISSN | 1178-7074 |
Publisher | Dove Press |
Peer Reviewed | Peer Reviewed |
Volume | 5 |
Pages | 381-389 |
DOI | https://doi.org/10.2147/IJGM.S31079 |
Keywords | General Medicine |
Public URL | https://hull-repository.worktribe.com/output/1756033 |
Publisher URL | https://www.dovepress.com/evolving-forecasting-classifications-and-applications-in-health-foreca-peer-reviewed-article-IJGM |
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