Improving decision support for infectious disease prevention and control : aligning models and other tools with policymaker's needs /

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Bibliographic Details
Author / Creator:Manheim, David, author.
Imprint:Santa Monica, California : Rand Corporation, [2016]
Description:viii, 42 pages : color illustrations ; 28 cm
Series:[Research report] ; RR-1576-OSD
Research report (Rand Corporation) ; RR-1576-OSD.
Subject:Communicable diseases -- Prevention.
Communicable diseases -- Control.
Communicable diseases -- Prevention -- International cooperation.
Communicable diseases -- Government policy -- United States.
Communicable diseases -- Control.
Communicable diseases -- Government policy.
Communicable diseases -- Prevention.
Communicable diseases -- Prevention -- International cooperation.
United States.
Format: Print Book
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Other authors / contributors:Chamberlin, Margaret, author.
Osoba, Osonde, author.
Vardavas, Raffaele, author.
Moore, Melinda, M.D., author.
National Defense Research Institute (U.S.). Forces and Resources Policy Center.
Notes:"National Defense Research Institute."
"Prepared for the Office of the Secretary of Defense."
Includes bibliographical references (pages 39-42).
Summary:"This report describes decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. The intended audience includes technical experts - for example, modelers and subject-matter experts - and the policymakers that those experts can support. On one hand, this overview should help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. On the other hand, many policymakers can benefit from a basic understanding of the capabilities and limitations of the different tools that may inform their decisions. This report describes the characteristics, requirements, uses, applicability, and limitations of three classes of theory-based models (population, microsimulation, agent-based simulation) and two classes of statistical models (regression-based and machine-learning), as well as several complementary nonmodeling decision-support approaches. The report then aligns all of these tools and approaches with a set of real-world policy questions. Finally, based on a review of published literature, an assessment of the different models and nonmodeling approaches, and recent experiences (such as the 2009 influenza pandemic), the authors recommend nine best practices for using modeling and decision-support tools to inform policymaking"--Back cover.

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Call Number: RA643.M36 2016
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