A scope of mobile health solutions in COVID-19 pandemics
Open accessAbstract
BACKGROUND AND AIM: COVID-19 has become an international emergency. The use of digital solutions can be effective in managing, preventing, and overcoming the further spread of infectious disease outbreaks. Accordingly, the use of mobile-health (m-health) technologies has the potential to promote public health. This review aimed to study the application of m-health solutions for the management of the COVID-19 outbreak. METHODS: The search strategy was done in Medline (PubMed), Embase, IEEE, and Google Scholar by using related keywords to m-health and COVID-19 on July 6, 2020. English papers that used m-health technologies for the COVID-19 outbreak were included. RESULTS: Of the 2046 papers identified, 16 were included in this study. M-health had been used for various aims such as early detection, fast screening, patient monitoring, information sharing, education, and treatment in response to the COVID-19 outbreak. M-health solutions were classified into four use case categories: prevention, diagnosis, treatment, and protection. The mobile phone-based app and short text massaging were the most frequently used modalities, followed by wearables, portable screening devices, mobile-telehealth, and continuous telemetry monitor during the pandemics. CONCLUSION: It appears that m-health technologies played a positive role during the COVID-19 outbreak. Given the extensive capabilities of m-health solutions, investigation and use of all potential applications of m-health should be considered for combating the current Epidemics and mitigating its negative impacts.
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The advantages of audio, location, and activity tracking have led to extensive research in these modalities, suggesting their potential for future large-scale population screening and monitoring.
“These advantages have led to extensive research in these three modalities [24–26], suggesting their potential for future large-scale population screening and monitoring.”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [24]
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Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
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- Authors
- Asadzadeh, A., & Kalankesh, L. R.
- Affiliations
- Tabriz University of Medical Sciences (IR)
- Corresponding author
- Kalankesh, Leila R.
- Venue
- Informatics in Medicine Unlocked
- Publisher
- Elsevier BV
- Published
- 2021
- Volume
- 23
- Pages
- 100558
- ISSN
- 2352-9148 (ISSN-L)
- PMC
- PMC8019236
- OpenAlex
- W3151835432
- Cited by
- 83
- References
- 43
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 18 · 2023: 27 · 2022: 19 · 2021: 4
- FWCI
- 3.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Informatics in Medicine Unlocked (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Keywords
- mobile health, COVID-19 pandemic, digital health technologies, early detection, screening, patient monitoring, telemedicine, wearable devices, mobile phone app, text messaging, epidemic control
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