Complexity in Mathematical Models of Public Health Policies: A Guide for Consumers of Models
Open Access
- 29 October 2013
- journal article
- Published by Public Library of Science (PLoS) in PLoS Medicine
- Vol. 10 (10), e1001540
- https://doi.org/10.1371/journal.pmed.1001540
Abstract
Sanjay Basu and colleagues explain how models are increasingly used to inform public health policy yet readers may struggle to evaluate the quality of models. All models require simplifying assumptions, and there are tradeoffs between creating models that are more “realistic” versus those that are grounded in more solid data. Indeed, complex models are not necessarily more accurate or reliable simply because they can more easily fit real-world data than simpler models can. Please see later in the article for the Editors' SummaryKeywords
This publication has 28 references indexed in Scilit:
- HIV Treatment as Prevention: Systematic Comparison of Mathematical Models of the Potential Impact of Antiretroviral Therapy on HIV Incidence in South AfricaPLoS Medicine, 2012
- Projected effects of tobacco smoking on worldwide tuberculosis control: mathematical modelling analysisBMJ, 2011
- A Transmission Model of the 2010 Cholera Epidemic in HaitiAnnals of Internal Medicine, 2011
- Cholera Epidemic in Haiti, 2010: Using a Transmission Model to Explain Spatial Spread of Disease and Identify Optimal Control InterventionsAnnals of Internal Medicine, 2011
- Transmission dynamics and control of cholera in Haiti: an epidemic modelThe Lancet, 2011
- Prediction of the spatial evolution and effects of control measures for the unfolding Haiti cholera outbreakGeophysical Research Letters, 2011
- Modeling Infectious Diseases in Humans and AnimalsPublished by Walter de Gruyter GmbH ,2008
- RE: "MULTIPARAMETER CALIBRATION OF A NATURAL HISTORY MODEL OF CERVICAL CANCER"American Journal of Epidemiology, 2007
- Uses and Abuses of Mathematics in BiologyScience, 2004
- Sensitivity and Uncertainty Analysis of Complex Models of Disease Transmission: An HIV Model, as an ExampleInternational Statistical Review / Revue Internationale de Statistique, 1994