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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR1576 |
来源ID | RR-1576-OSD |
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 | |
发表日期 | 2016-07-12 |
出版年 | 2016 |
语种 | 英语 |
结论 | Several Modeling and Nonmodeling Decision-Support Tools Are Available to Inform Infectious Disease Prevention and Control; Policymakers and Modelers Should Understand the Capabilities and Limitations of Each and Select the Best Approach(es) Based on the Circumstances and the Questions to Be Addressed
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摘要 | 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. |
目录 |
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主题 | Complex Systems Analysis ; Exploratory Modeling ; Infectious Diseases ; Operational Readiness ; Public Health Preparedness ; Robust Decision Making |
URL | https://www.rand.org/pubs/research_reports/RR1576.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/523081 |
推荐引用方式 GB/T 7714 | David Manheim,Margaret Chamberlin,Osonde A. Osoba,et al. Improving Decision Support for Infectious Disease Prevention and Control: Aligning Models and Other Tools with Policymakers' Needs. 2016. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RR1576.pdf(655KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1495299404315.jpg.p(5KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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