The mPOC Framework: An Autonomous Outbreak Prediction and Monitoring Platform Based on Wearable IoMT Approach Article Swipe
This paper presents the mHealth Predictive Outbreak for COVID-19 (mPOC) framework, an autonomous platform based on wearable Internet of Medical Things (IoMT) devices for outbreak prediction and monitoring. It utilizes real-time physiological and environmental data to assess user risk. The framework incorporates the analysis of psychological and user-centric data, adopting a combination of top-down and bottom-up approaches. The mPOC mechanism utilizes the bidirectional Mobile Health (mHealth) Disaster Recovery System (mDRS) and employs an intelligent algorithm to calculate the Predictive Exposure Index (PEI) and Deterioration Risk Index (DRI). These indices trigger warnings to users based on adaptive threshold criteria and provide updates to the Outbreak Tracking Center (OTC). This paper provides a comprehensive description and analysis of the framework’s mechanisms and algorithms, complemented by the performance accuracy evaluation. By leveraging wearable IoMT devices, the mPOC framework showcases its potential in disease prevention and control during pandemics, offering timely alerts and vital information to healthcare professionals and individuals to mitigate outbreaks’ impact.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/fi15080257
- https://www.mdpi.com/1999-5903/15/8/257/pdf?version=1690715914
- OA Status
- gold
- Cited By
- 5
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385421920
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385421920Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/fi15080257Digital Object Identifier
- Title
-
The mPOC Framework: An Autonomous Outbreak Prediction and Monitoring Platform Based on Wearable IoMT ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-30Full publication date if available
- Authors
-
Sasan AdibiList of authors in order
- Landing page
-
https://doi.org/10.3390/fi15080257Publisher landing page
- PDF URL
-
https://www.mdpi.com/1999-5903/15/8/257/pdf?version=1690715914Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/1999-5903/15/8/257/pdf?version=1690715914Direct OA link when available
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Computer science, Wearable computer, mHealth, Wearable technology, The Internet, Index (typography), Scheme (mathematics), Data mining, Real-time computing, Computer security, Health care, Embedded system, World Wide Web, Economics, Mathematics, Economic growth, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5051851616 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I149704539 |
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| sustainable_development_goals[0].display_name | Climate action |
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| citation_normalized_percentile.is_in_top_10_percent | True |