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▼a 952155361 |
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▼a 9780309378499
▼q (electronic bk.) |
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▼a 0309378494
▼q (electronic bk.) |
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▼z 9780309378482
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▼z (OCoLC)952155361 |
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| 100 | 1 |
▼a Alper, Joe,
▼e rapporteur. |
| 245 | 10 |
▼a How modeling can inform strategies to improve population health :
▼b workshop summary/
▼c Joe Alper and Amy Geller, rapporteurs ; Roundtable on Population Health Improvement, Board on Population Health and Public Health Practice, Institute of Medicine, the National Academies of Sciences, Engineering, Medicine. |
| 260 | |
▼a Washington, DC:
▼b the National Academies Press,
▼c [2016]. |
| 300 | |
▼a 1 online resource (xx, 100 pages):
▼b color illustrations. |
| 336 | |
▼a text
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▼a computer
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▼a online resource
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▼a Includes bibliographical references (pages 85-86). |
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▼a Introduction -- Setting the context -- Case studies of models used to inform health policy -- What would public health decision makers like from models? -- Barriers and opportunities for using models to inform population health interventions and policies -- Opportunities for the future -- Final thoughts: ideas for the future -- Appendix A: References -- Appendix B: Workshop agenda -- Appendix C: Biographical sketches of workshop speakers. |
| 520 | |
▼a In April 2015, the Institute of Medicine convened a workshop to explore the potential uses of simulation and other types of modeling for the purpose of selecting and refining potential strategies, ranging from interventions to investments, to improve the health of communities and the nation's health. Participants worked to identify how modeling could inform population health decision making based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and opportunities to leverage existing data and to collect new data for modeling. This report summarizes the presentations and discussions from this workshop. |
| 588 | |
▼a Description based on online resource; title from PDF title page (National Academies Press, viewed June 9, 2016). |
| 590 | |
▼a Master record variable field(s) change: 072, 082 |
| 650 | 0 |
▼a Medical care
▼z United States
▼x Mathematical models. |
| 650 | 0 |
▼a Health promotion
▼z United States
▼x Mathematical models. |
| 650 | 0 |
▼a Health education
▼z United States
▼x Mathematical models. |
| 650 | 12 |
▼a Health Promotion. |
| 650 | 12 |
▼a Models, Theoretical. |
| 650 | 22 |
▼a Health Policy. |
| 650 | 22 |
▼a Public Health. |
| 650 | 22 |
▼a Decision Making. |
| 650 | 7 |
▼a POLITICAL SCIENCE / Public Policy / Social Security
▼2 bisacsh |
| 650 | 7 |
▼a POLITICAL SCIENCE / Public Policy / Social Services & Welfare
▼2 bisacsh |
| 651 | 2 |
▼a United States. |
| 655 | 2 |
▼a Congresses. |
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▼a Electronic books. |
| 700 | 1 |
▼a Geller, Amy,
▼e rapporteur, |
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▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Roundtable on Population Health Improvement. |
| 711 | 2 |
▼a How Modeling Can Inform Strategies to Improve Population Health (Workshop)
▼d (2015 :
▼c Washington, D.C.) |
| 776 | 08 |
▼i Print version:
▼t How modeling can inform strategies to improve population health.
▼d Washington, DC : National Academies Press, [2016]
▼z 9780309378482
▼w (OCoLC)953708368 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://libproxy.dhu.ac.kr/_Lib_Proxy_Url/http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1083254 |
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