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The Use of Simulation Models in Public Health with Applications to Substance Abuse and Obesity Problems

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Defining Prevention Science

Part of the book series: Advances in Prevention Science ((Adv. Prevention Science))

Abstract

Evaluation studies often focus on a particular policy applied to a specific population. Due to data limitations, purely statistical methods of analysis are often ill equipped to simultaneously consider all of the important relationships inherent in complex problems, such as the effects of tobacco control policies on smoking rates at different ages and how those effects impact health outcomes over time. An alternative, complementary approach to purely statistical modeling is simulation modeling (SM), also known as computational models.

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  1. Department of Oncology, Georgetown University, 3300 Whitehaven Street, NW Suite 4100, Washington, DC, 20007, USA

    David Levy

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  1. Ontario, Ohio, USA

    Zili Sloboda

  2. JBS International, Inc., Rockville, USA

    Hanno Petras

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Levy, D. (2014). The Use of Simulation Models in Public Health with Applications to Substance Abuse and Obesity Problems. In: Sloboda, Z., Petras, H. (eds) Defining Prevention Science. Advances in Prevention Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7424-2_18

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