Systems Thinking and Models in Public Health
Systems thinking and modeling have been essential approaches to identifying the drivers of health outcomes and analyzing their complex interrelationships, paving the way to interventions that improve outcomes while minimizing unintended consequences. These methods support interdisciplinary teams in...
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| Materialtyp: | Online |
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| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Ämnen: | |
| Länkar: | ONIX_20240514_9783725807444_436 |
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| _version_ | 1869526575764996096 |
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| collection | Directory of Open Access Books |
| description | Systems thinking and modeling have been essential approaches to identifying the drivers of health outcomes and analyzing their complex interrelationships, paving the way to interventions that improve outcomes while minimizing unintended consequences. These methods support interdisciplinary teams in representing and navigating complex systems, thus asking essential ‘what-if’ questions and serving numerous other goals, from guiding data collection efforts to comparing the perspectives of stakeholders or validating theories. This volume features methodological innovations and applications for several determinants and key global health priority areas. Priority determinants include, but are not limited to, social determinants (e.g., health inequalities), behavioral factors and facets of the healthcare system. Systems thinking and modeling can shed light on how such determinants ultimately shape health outcomes and/or the cost-effectiveness of an intervention. This volume covers several determinants, collectively providing a comprehensive overview of the challenges and applications of systems thinking to public health. This volume will benefit researchers in the fields of public health, systems thinking or modeling. The content is accessible to early-career researchers, such as graduate students, who may choose specific chapters within their areas of interest as part of identifying open challenges to inspire their own research. |
| format | Online |
| id | doab-20.500.12854ir-137840 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1378402024-05-14T14:40:43Z Systems Thinking and Models in Public Health Giabbanelli, Philippe J. Page, Andrew emerging infectious diseases systems thinking systems approach systems dynamics COVID-19 SARS-CoV1 MERS-CoV healthcare policy pandemic outbreak nurse staffing inpatient care quality hospital competition Mixed Frequency VAR global budget payment scheme National Health Insurance utility five-factor framework policy gaps COVID-19 OFTT cholera response system dynamics computational modeling cholera epidemics policy testing humanitarian response agent-based modeling social impact theory cellular automata youth nonmedical prescription opioid use in-person school closures COVID-19-related public health order suicide prevention suicide self-harm systems modelling simulation public health emergency emergency resource allocation intelligent technology major epidemic demand urgency emergency logistics material distribution optimization participatory modeling discrete-event simulation emergency department patient flow agent-based modelling opioid agonist therapy methadone buprenorphine/naloxone retention in opioid agonist therapy opioid-related harms simulation Arena hospital resource allocation goal programming n/a thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXT Computer applications in industry and technology Systems thinking and modeling have been essential approaches to identifying the drivers of health outcomes and analyzing their complex interrelationships, paving the way to interventions that improve outcomes while minimizing unintended consequences. These methods support interdisciplinary teams in representing and navigating complex systems, thus asking essential ‘what-if’ questions and serving numerous other goals, from guiding data collection efforts to comparing the perspectives of stakeholders or validating theories. This volume features methodological innovations and applications for several determinants and key global health priority areas. Priority determinants include, but are not limited to, social determinants (e.g., health inequalities), behavioral factors and facets of the healthcare system. Systems thinking and modeling can shed light on how such determinants ultimately shape health outcomes and/or the cost-effectiveness of an intervention. This volume covers several determinants, collectively providing a comprehensive overview of the challenges and applications of systems thinking to public health. This volume will benefit researchers in the fields of public health, systems thinking or modeling. The content is accessible to early-career researchers, such as graduate students, who may choose specific chapters within their areas of interest as part of identifying open challenges to inspire their own research. 2024-05-14T14:40:36Z 2024-05-14T14:40:36Z 2024 book ONIX_20240514_9783725807444_436 9783725807444 9783725807437 https://directory.doabooks.org/handle/20.500.12854/137840 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9078 https://mdpi.com/books/pdfview/book/9078 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0743-7 10.3390/books978-3-7258-0743-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725807444 9783725807437 226 open access |
| spellingShingle | emerging infectious diseases systems thinking systems approach systems dynamics COVID-19 SARS-CoV1 MERS-CoV healthcare policy pandemic outbreak nurse staffing inpatient care quality hospital competition Mixed Frequency VAR global budget payment scheme National Health Insurance utility five-factor framework policy gaps COVID-19 OFTT cholera response system dynamics computational modeling cholera epidemics policy testing humanitarian response agent-based modeling social impact theory cellular automata youth nonmedical prescription opioid use in-person school closures COVID-19-related public health order suicide prevention suicide self-harm systems modelling simulation public health emergency emergency resource allocation intelligent technology major epidemic demand urgency emergency logistics material distribution optimization participatory modeling discrete-event simulation emergency department patient flow agent-based modelling opioid agonist therapy methadone buprenorphine/naloxone retention in opioid agonist therapy opioid-related harms simulation Arena hospital resource allocation goal programming n/a thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXT Computer applications in industry and technology Systems Thinking and Models in Public Health |
| title | Systems Thinking and Models in Public Health |
| title_full | Systems Thinking and Models in Public Health |
| title_fullStr | Systems Thinking and Models in Public Health |
| title_full_unstemmed | Systems Thinking and Models in Public Health |
| title_short | Systems Thinking and Models in Public Health |
| title_sort | systems thinking and models in public health |
| topic | emerging infectious diseases systems thinking systems approach systems dynamics COVID-19 SARS-CoV1 MERS-CoV healthcare policy pandemic outbreak nurse staffing inpatient care quality hospital competition Mixed Frequency VAR global budget payment scheme National Health Insurance utility five-factor framework policy gaps COVID-19 OFTT cholera response system dynamics computational modeling cholera epidemics policy testing humanitarian response agent-based modeling social impact theory cellular automata youth nonmedical prescription opioid use in-person school closures COVID-19-related public health order suicide prevention suicide self-harm systems modelling simulation public health emergency emergency resource allocation intelligent technology major epidemic demand urgency emergency logistics material distribution optimization participatory modeling discrete-event simulation emergency department patient flow agent-based modelling opioid agonist therapy methadone buprenorphine/naloxone retention in opioid agonist therapy opioid-related harms simulation Arena hospital resource allocation goal programming n/a thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXT Computer applications in industry and technology |
| topic_facet | emerging infectious diseases systems thinking systems approach systems dynamics COVID-19 SARS-CoV1 MERS-CoV healthcare policy pandemic outbreak nurse staffing inpatient care quality hospital competition Mixed Frequency VAR global budget payment scheme National Health Insurance utility five-factor framework policy gaps COVID-19 OFTT cholera response system dynamics computational modeling cholera epidemics policy testing humanitarian response agent-based modeling social impact theory cellular automata youth nonmedical prescription opioid use in-person school closures COVID-19-related public health order suicide prevention suicide self-harm systems modelling simulation public health emergency emergency resource allocation intelligent technology major epidemic demand urgency emergency logistics material distribution optimization participatory modeling discrete-event simulation emergency department patient flow agent-based modelling opioid agonist therapy methadone buprenorphine/naloxone retention in opioid agonist therapy opioid-related harms simulation Arena hospital resource allocation goal programming n/a thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXT Computer applications in industry and technology |
| url | ONIX_20240514_9783725807444_436 |