Precision Public Health for Non-communicable Diseases: An Emerging Strategic Roadmap and Multinational Use Cases
Non-communicable diseases (NCDs) remain the largest global public health threat. The emerging field of precision public health (PPH) offers a transformative opportunity to capitalize on digital health data to create an agile, responsive and data-driven public health system to actively prevent NCDs....
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Published in | Frontiers in public health Vol. 10; p. 854525 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
08.04.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Non-communicable diseases (NCDs) remain the largest global public health threat. The emerging field of precision public health (PPH) offers a transformative opportunity to capitalize on digital health data to create an agile, responsive and data-driven public health system to actively prevent NCDs. Using learnings from digital health, our aim is to propose a vision toward PPH for NCDs across three horizons of digital health transformation: Horizon 1-digital public health workflows; Horizon 2-population health data and analytics; Horizon 3-precision public health. This perspective provides a high-level strategic roadmap for public health practitioners and policymakers, health system stakeholders and researchers to achieving PPH for NCDs. Two multinational use cases are presented to contextualize our roadmap in pragmatic action:
and
(USA), a mature PPH platform for multiple NCDs, and
(Australia), a proof-of-concept population health informatics tool to monitor and prevent obesity. Our intent is to provide a strategic foundation to guide new health policy, investment and research in the rapidly emerging but nascent area of PPH to reduce the public health burden of NCDs. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Mohan Tanniru, University of Arizona, United States Reviewed by: Laszlo Balkanyi, University of Pannonia, Hungary This article was submitted to Digital Public Health, a section of the journal Frontiers in Public Health |
ISSN: | 2296-2565 2296-2565 |
DOI: | 10.3389/fpubh.2022.854525 |