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Author Manheim, David.

Title Improving decision support for infectious disease prevention and control : aligning models and other tools with policymakers' needs / David Manheim, Margaret Chamberlin, Osonde A. Osoba, Raffaele Vardavas, Melinda Moore.

Imprint Santa Monica, California : Rand Corporation, [2016]


Location Call No. OPAC Message Status
 Axe JSTOR Open Ebooks  Electronic Book    ---  Available
Description 1 online resource (viii, 42 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series [Research report] ; RR-1576-OSD
Research report (Rand Corporation) ; RR-1576-OSD.
Note "National Defense Research Institute."
"Prepared for the office of the secretary of defense."
Bibliography Includes bibliographical references (pages 39-42).
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.
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.
Subject Communicable diseases -- Prevention.
Communicable diseases -- Control.
Communicable diseases -- Prevention -- International cooperation.
Communicable diseases -- Government policy -- United States.
COMPUTERS -- Data Modeling & Design.
Communicable diseases -- Control. (OCoLC)fst00869887
Communicable diseases -- Government policy. (OCoLC)fst00869894
Communicable diseases -- Prevention. (OCoLC)fst00869910
Communicable diseases -- Prevention -- International cooperation. (OCoLC)fst00869912
United States. (OCoLC)fst01204155
Communicable Diseases.
Disease Outbreaks -- prevention & control.
Epidemics -- prevention & control.
Genre/Form Electronic book.
Electronic books.
Added Author Chamberlin, Margaret.
Osoba, Osonde.
Vardavas, Raffaele.
Moore, Melinda.
National Defense Research Institute (U.S.). Forces and Resources Policy Center.
Other Form: 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
ISBN 9780833095503 (pbk.)
Standard No. AU@ 000060206122
AU@ 000061154100
GBVCP 1008667196

Available items only