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.

"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 technic...

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100 1 |a Manheim, David,  |e author. 
245 1 0 |a Improving decision support for infectious disease prevention and control :  |b aligning models and other tools with policymakers' needs /  |c David Manheim, Margaret Chamberlin, Osonde A. Osoba, Raffaele Vardavas, Melinda Moore. 
246 |a Improving Decision Support for Infectious Disease Prevention and Control 
260 |b RAND Corporation 
520 |a "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"--  |c Back cover. 
505 0 |a Decision support: a collaborative endeavor -- Decision support using models -- Nonmodeling decision-support approaches -- Alignment between policy questions and decision-support approaches -- Recommendations and discussion. 
650 0 |a Communicable diseases  |x Prevention. 
650 0 |a Communicable diseases  |x Control. 
650 0 |a Communicable diseases  |x Prevention  |x International cooperation. 
650 0 |a Communicable diseases  |x Government policy  |z United States. 
650 7 |a Communicable diseases  |x Control.  |2 fast  |0 (OCoLC)fst00869887 
650 7 |a Communicable diseases  |x Government policy.  |2 fast  |0 (OCoLC)fst00869894 
650 7 |a Communicable diseases  |x Prevention.  |2 fast  |0 (OCoLC)fst00869910 
650 7 |a Communicable diseases  |x Prevention  |x International cooperation.  |2 fast  |0 (OCoLC)fst00869912 
651 7 |a United States.  |2 fast  |0 (OCoLC)fst01204155 
776 |z 0-8330-9550-1 
700 1 |a Chamberlin, Margaret,  |e author. 
700 1 |a Osoba, Osonde,  |e author. 
700 1 |a Vardavas, Raffaele,  |e author. 
700 1 |a Moore, Melinda,  |e author. 
710 2 |a National Defense Research Institute (U.S.).  |b Forces and Resources Policy Center. 
906 |a BOOK 
ADM |b 2023-10-30 03:52:49 Europe/Vienna  |d 00  |f System  |c marc21  |a 2016-08-06 16:56:54 Europe/Vienna  |g false 
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