Challenges and Opportunities in COVID 19: A comprehensive concise review and proposal
Main Article Content
Abstract
This paper first offers complexity theory as an overarching theoretical framework to conceptualize both the current COVID 19 pandemic and then a series of related topics that lead to a focused recommendation for prevention and management of inevitable future pandemics. The deployment of streaming wireless sentinel surveillance is advocated, suggesting the use of AI- assisted algorithmic processing of psychophysiological data to identify emerging pathogens of potential concern and implement evidence based preventive and intervention strategies. Data are collected using existing personal devices which are both effective and scalable in both developed and developing locations.
Keywords:
COVID-19, Pandemic Prevention, Complexity Theory, Sentinel Surveillance, Artificial Intelligence, Psychophysiological Data, Evidence-Based Strategies, Wireless Surveillance, Global Health, Future Pandemics
Article Details
How to Cite
DRURY, Robert L.
Challenges and Opportunities in COVID 19: A comprehensive concise review and proposal.
Medical Research Archives, [S.l.], v. 12, n. 6, june 2024.
ISSN 2375-1924.
Available at: <https://esmed.org/MRA/mra/article/view/5451>. Date accessed: 21 nov. 2024.
doi: https://doi.org/10.18103/mra.v12i6.5451.
Section
Articles
The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.
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3. Coronavirus Resource Center, Johns Hopkins University. Accessed April 22, 2024: https://coronavirus.jhu.edu/map.htm. 2023.
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5. Gell-Mann, M.. The Quark and the Jaguar. Sante Fe:Sante Fe Institute. 2023
6. Kauffman,S.. Reinventing the Universe,New York: Basic Books. 2008
7. Wilson, E. O. Consilience: The Unity of Knowledge. New York, NY: Vintage Press.1998.
8. Capra,F. And Luisi, D.. The Systems View of Life. Delhi: Cambridge University Press. 2014
9.Lorenz, E. Designing Chaotic Models. Journal of the Atmospheric Sciences. Vol. 62, No. 5: 1574–1587. 2005
10. Editors. Innovations in Care Delivery, New England Journal of Medicine-Catalyst , 2019.
11. Topol, E. Deep Medicine. New York: Basic Books. 2019.
12. Kahneman, D.. Thinking Fast and Slow. New York: Farrar Giroux and Strauss. 2012
13. Heath,D and Heath,C.. Built to Stick. New York: Random House. 2007
14. Bowlby, J. Attachment. New York: Basic Books. 2008
15.Hare, B. Survival of the Friendliest. Annual Review of Psychology, 68, 155-186. 2017
16. DiPaolo, J. What’s Wrong With Epistemic Trespassing? Philosophic Studies, 179, 223-243. doi: 10/1007/s11098-021-01657-6. 2022.
17. Drury RL, Porges S, Thayer J and Ginsberg JP. Editorial: Heart Rate Variability, Health and Well-Being: A Systems Perspective. Front. Public Health 7:323. doi: 10.3389/fpubh.2019.00323. 2019
18. Laborde S, Mosley E, Bellenger C and Thayer J Editorial: Horizon 2030: Innovative Applications of Heart Rate Variability. Front. Neurosci. 16:937086. doi: 10.3389/fnins.2022.937086. 2022; Malik, M. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task force of the European society of cardiology and the north american society of pacing and electrophysiology. doi: 10.1111/j.1542-474x.1996.tb00275.x; Shaffer F and Ginsberg JP An Overview of Heart Rate Variability Metrics and Norms. Front. Public Health 5:258. doi: 10.3389/fpubh.2017.00258.2017.
19. Hirten, R., Danieletto, M., Tomalin, D, et al. Use of Physiological Data From a Wearable Device to Identify SARS-COV-2 Infection and Symptoms and Predict COVID-19 Diagnosis. Journal of Medical Internet Research, 23(2), doi: 10.2196/26107. 2021; Mol, M., Strous, M, Van Osch,F et al. HRV predicts outcomes in COVID-19. PLOS One, 16(10). doi: 10.1371/journal.pone.0258841. 2021.
20. Drury,R. . Geolocated Wireless Heart Rate Variability Sentinel Surveillance in Immunological Assessment, Intervention and Research concerning COVID-19 and other pandemic threats., Medical Research Archives, [online] 10(9). https://doi.org/10.18103/mra. v10i9.3021 2022
21. Drury,R. Heart Rate Variability in Assessing Community COVID-19.Front. Neurosci., 07 June 2021. Volume 15 - 2021 | https://doi.org/10.3389/fnins.2021.5641592021
22. Drury, R.. HRV in an integrated hardware/ software system using artificial intelligence to provide assessment, intervention and performance optimization, in Autonomic Nervous System Monitoring, ed T. Aslanidis, 1–11. doi: 10.5772/intechopen.89042.2019.
23. Drury RL Wearable biosensor systems and resilience: a perfect storm in health care? Front. Psychol. 5:853. doi: 10.3389/fpsyg.2014.00853. 2014.
24. Climate Crisis Group. Lessons From The COVID War. Public Affairs. ISBN-13 978-1541703803. 2023
25. Deaton, A. and Case, S.. Deaths of Despair and the Future of Capitalism. Princeton, NJ: Princeton University Press. 2020.
26. Lin, CS., Liu, WT., Tsai, DJ. et al. AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial. Nat Med (2024). https://doi.org/10.1038/s41591-024-02961-4. 2024.