Mainstreaming Modeling and Simulation to Accelerate Public Health Innovation.
Dynamic modeling and simulation are systems science tools that examine behaviors and outcomes resulting from interactions among multiple system components over time. Although there are excellent examples of their application, they have not been adopted as mainstream tools in population health planni...
| Publicado en: | American Journal of Public Health Vol. 104; no. 7; pp. 1181 - 1187 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
American Public Health Association
Jul2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=103968701&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 103968701 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jul2014 vid: 104 iid: 7 pid: 44 pub: American Public Health Association artinfo: ui: 103968701 10.2105/AJPH.2014.301873 ppf: 1181 ppct: 6 formats: tig: atl: Mainstreaming Modeling and Simulation to Accelerate Public Health Innovation. aug: au: Maglio, Paul P. Sepulveda, Martin-J. Mabry, Patricia L. su: Ability Computer simulation Diffusion of innovations Obesity Policy sciences Reward (Psychology) Systems theory Training Behavior modification Prevention of obesity Statistics methodology Data analysis Endowment of research Interdisciplinary research Research personnel sug: subj: Ability Computer simulation Diffusion of innovations Obesity Policy sciences Reward (Psychology) Systems theory Training Behavior modification Other Grantmaking and Giving Services Prevention of obesity Statistics methodology Data analysis Endowment of research Interdisciplinary research Research personnel ab: Dynamic modeling and simulation are systems science tools that examine behaviors and outcomes resulting from interactions among multiple system components over time. Although there are excellent examples of their application, they have not been adopted as mainstream tools in population health planning and policymaking. Impediments to their use include the legacy and ease of use of statistical approaches that produce estimates with confidence intervals, the difficulty of multidisciplinary collaboration for modeling and simulation, systems scientists’ inability to communicate effectively the added value of the tools, and low funding for population health systems science. Proposed remedies include aggregation of diverse data sets, systems science training for public health and other health professionals, changing research incentives toward collaboration, and increased funding for population health systems science projects. pubtype: Academic Journal doctype: Journal Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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