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

Author: David ManheimMargaret ChamberlinOsonde OsobaRaffaele VardavasMelinda MooreAll authors
Publisher: Santa Monica, California : Rand Corporation, [2016]
Series: Research report (Rand Corporation), RR-1576-OSD.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Electronic version:
Manheim, David.
Improving decision support for infectious disease prevention and control : aligning models and other tools with policymaker's needs .
Santa Monica, Calif. : RAND Corporation, 2016
(OCoLC)954270876
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David Manheim; Margaret Chamberlin; Osonde Osoba; Raffaele Vardavas; Melinda Moore; National Defense Research Institute (U.S.). Forces and Resources Policy Center.
ISBN: 9780833095503 0833095501 9780833096302 0833096303
OCLC Number: 1008952798
Notes: "National Defense Research Institute."
"Prepared for the office of the secretary of defense."
Description: 1 online resource (viii, 42 pages) : color illustrations.
Contents: Decision support: a collaborative endeavor --
Decision support using models --
Nonmodeling decision-support approaches --
Alignment between policy questions and decision-support approaches --
Recommendations and discussion.
Series Title: Research report (Rand Corporation), RR-1576-OSD.
Responsibility: David Manheim, Margaret Chamberlin, Osonde A. Osoba, Raffaele Vardavas, Melinda Moore.

Abstract:

"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"--

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