A health security-based framework for prioritizing regions for digital learning in complex health emergencies
Digital health and learning have expanded significantly in recent decades though their use in settings of acute health emergencies has only recently begun. Growing experience among organizations working in the digital health and learning space suggest that virtual communities of practice in these ar...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1455470/full |
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| author | Shawn M. D’Andrea Nada Fadul Bruce Struminger |
| author_facet | Shawn M. D’Andrea Nada Fadul Bruce Struminger |
| author_sort | Shawn M. D’Andrea |
| collection | DOAJ |
| description | Digital health and learning have expanded significantly in recent decades though their use in settings of acute health emergencies has only recently begun. Growing experience among organizations working in the digital health and learning space suggest that virtual communities of practice in these areas may have value in response to health emergencies. Evaluation of recent virtual programs applied in acute health emergencies suggest that a pre-established digital learning network can serve as a valuable resource when an acute health emergency strikes. This paper introduces the concept, and explores the potential value of developing a prioritization framework, informed by health security assessments, to identify countries most vulnerable to future health crises. By using an anticipatory approach and framework to identify high risk regions, digital learning programs can be developed proactively, building networks that can be activated during emergencies. Creating and prioritizing virtual learning networks in regions at high risk of health emergencies can improve response capacities. Developing a framework to identify countries and regions of greatest risk can help policy makers, educators, and donors, focus limited resources on high need areas. |
| format | Article |
| id | doaj-art-ffa833ee0de14488ba64a4e2dbabec86 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-ffa833ee0de14488ba64a4e2dbabec862025-01-09T06:10:19ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011210.3389/fpubh.2024.14554701455470A health security-based framework for prioritizing regions for digital learning in complex health emergenciesShawn M. D’Andrea0Nada Fadul1Bruce Struminger2Brigham and Women’s Hospital, Boston, MA, United StatesDepartment of Internal Medicine, University of Nebraska Medical Center College of Medicine, Omaha, NE, United StatesECHO Institute and Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United StatesDigital health and learning have expanded significantly in recent decades though their use in settings of acute health emergencies has only recently begun. Growing experience among organizations working in the digital health and learning space suggest that virtual communities of practice in these areas may have value in response to health emergencies. Evaluation of recent virtual programs applied in acute health emergencies suggest that a pre-established digital learning network can serve as a valuable resource when an acute health emergency strikes. This paper introduces the concept, and explores the potential value of developing a prioritization framework, informed by health security assessments, to identify countries most vulnerable to future health crises. By using an anticipatory approach and framework to identify high risk regions, digital learning programs can be developed proactively, building networks that can be activated during emergencies. Creating and prioritizing virtual learning networks in regions at high risk of health emergencies can improve response capacities. Developing a framework to identify countries and regions of greatest risk can help policy makers, educators, and donors, focus limited resources on high need areas.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1455470/fulldigital learninghealth emergencieshealth securityhealth security indexregional prioritizationhumanitarian response |
| spellingShingle | Shawn M. D’Andrea Nada Fadul Bruce Struminger A health security-based framework for prioritizing regions for digital learning in complex health emergencies Frontiers in Public Health digital learning health emergencies health security health security index regional prioritization humanitarian response |
| title | A health security-based framework for prioritizing regions for digital learning in complex health emergencies |
| title_full | A health security-based framework for prioritizing regions for digital learning in complex health emergencies |
| title_fullStr | A health security-based framework for prioritizing regions for digital learning in complex health emergencies |
| title_full_unstemmed | A health security-based framework for prioritizing regions for digital learning in complex health emergencies |
| title_short | A health security-based framework for prioritizing regions for digital learning in complex health emergencies |
| title_sort | health security based framework for prioritizing regions for digital learning in complex health emergencies |
| topic | digital learning health emergencies health security health security index regional prioritization humanitarian response |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1455470/full |
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