The Limits of Knowledge in the COVID-19 Pandemic. Some Prudential Recommendations in Uncertainty Conditions
DOI:
https://doi.org/10.18662/po/12.1/265Keywords:
Knowledge, uncertainty, decision, COVID-19, SARS-CoV-2Abstract
The knowledge in the context of COVID-19 pandemic must be viewed from the perspective of its purpose: the intention to limit the effects and spread of SARS-CoV-2, respectively to cancel them. In order to increase the level of knowledge we identify some of the possible classifications, based on them allowing a first outline of uncertainty. The purpose of the analysis is to contribute to the clearest possible identification of the known and the unknown, thus creating a more stable cognitive field for effective public health decisions. Given that measures to combat the COVID-19 pandemic along with its effects is one of humanity's priorities, it is useful to clear up some of the issues that are likely to have improper meanings. The identification of each situation that includes significant doses of unknown and the public recognition of the uncertainty represents the condition for the possibility of robust public policies. Indicating the place that each current aspect occupies in one of the four cognitive quadrants is an important cognitive work. The position we adopt is characteristic for cognitive skepticism, trying to indicate some of the knowledge`s limits of and the risks of pseudo-knowledge. The article is a theoretical approach, based on some epistemological principles of critical thinking, the starting point being the belief that knowing what you do not know (to shape the uncertainty as appropriate as possible) is an essential part of the knowledge.
References
Bacon, F. (1597). Meditationes Sacrae, Ipsa scientia potestas est, 1597.
Daase, C., Lessler, O. (2007). Knowns and Unknowns in the 'War on Terror': Uncertainty and the Political Construction of Danger, Security Dialogue, Vol. 38, No. 4 (DECEMBER 2007), pp. 411-434, https://www.jstor.org/stable/26299636?seq=1
Ferretti L., Wymant C., Kendall M., Zhao L., Nurtay A., Abeler-Dörner L., Parker M, Bonsall D., Fraser C. (2020). Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science. 2020 May 8;368(6491):eabb6936.
Foundation for Innovative New Diagnostics (2020), SARS-COV-2 Molecular Assay Evaluation: Results. Retrieved from https://www.finddx.org/covid-19/sarscov2-eval-molecular/molecular-eval-results/
Rodríguez García, J. M. (2001), Scientia Potestas est Knowledge is Power: Francis Bacon to Michel Foucault, Neohelicon, V 28, nr. 1, 2001, http://blog.wbkolleg.unibe.ch/wp-content/uploads/Garcia.pdf
Long, C., Xu, H., Shen, Q., Zhang, X., Fan, B., Wang, C., Zeng, B., Li, Z., Li, X., & Li, H. (2020). Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?. European journal of radiology, 126, 108961. https://doi.org/10.1016/j.ejrad.2020.108961
Mackay, I. (2020). The Swiss Cheese Model of Pandemic Defense, Retrieved from https://www.nytimes.com/2020/12/05/health/coronavirus-swiss-cheese-infection-mackay.html
Ministry of Health, (2020). COVID-19 test results and their accuracy. Retrieved from https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-health-advice-public/assessment-and-testing-covid-19/covid-19-test-results-and-their-accuracy
Noh J.Y., Song J.Y., Yoon J.G., Seong H., Cheong H.J., Kim W.J. (2020) Safe hospital preparedness in the era of COVID-19: The Swiss cheese model. Int J Infect Dis. 2020 Sep;98:294-296. doi: 10.1016/j.ijid.2020.06.094. Epub 2020 Jun 30. PMID: 32619759; PMCID: PMC7326408.
Perneger T. V. (2005). The Swiss cheese model of safety incidents: are there holes in the metaphor?. BMC health services research, 5, 71. https://doi.org/10.1186/1472-6963-5-71
Prinzi, A. (2020). False Negatives and Reinfections: the Challenges of SARS-CoV-2 RT-PCR Testing, American Society for Microbiology, april 27, 2020 (accesat 09.05.2020) https://asm.org/Articles/2020/April/False-Negatives-and-Reinfections-the-Challenges-of
Pueyo, T. (2020). Coronavirus: The Swiss Cheese Strategy, Retrieved from https://tomaspueyo.medium.com/coronavirus-the-swiss-cheese-strategy-d6332b5939de
Rotilă, V., Palade, T., Lungu, L. (2020). Platforma de monitorizare a impactului COVID-19 asupra salariaților din sistem sanitar românesc. Centrul de Cercetare și Dezvoltare Socială. Retrieved from https://covid.solidaritatea-sanitara.ro/
Rumsfeld, Donald (2002) U.S. Departament of Defense, DoD News Briefing - Secretary Rumsfeld and Gen. Myers, February 12, 2002 11:30, https://archive.defense.gov/Transcripts/Transcript.aspx?TranscriptID=2636
Saah A.J., Hoover D.R. (1997). "Sensitivity" and "specificity" reconsidered: the meaning of these terms in analytical and diagnostic settings. Ann Intern Med. 1997 Jan 1;126(1):91-4.
Saltelli A., Bammer G., Bruno I., Charters E., Di Fiore M., Didier E., Nelson Espeland W., Kay J., Lo Piano S., Mayo D., Pielke R. Jr, Portaluri T., Porter T.M., Puy A., Rafols I., Ravetz J.R., Reinert E., Sarewitz D., Stark P.B., Stirling A., van der Sluijs J., Vineis P. (2020). Five ways to ensure that models serve society: a manifesto. Nature. 2020 Jun;582(7813):482-484. doi: 10.1038/d41586-020-01812-9. PMID: 32581374.
Tahamtan, A., & Ardebili, A. (2020). Real-time RT-PCR in COVID-19 detection: issues affecting the results. Expert review of molecular diagnostics, 20(5), 453–454.
Taleb, N. N., (2007). The black swan: the impact of the highly improbable. New York: Random House.
Taleb, N. N. (2018). Skin in the game: Hidden asymmetries in daily life (First edition.). New York: Random House.
Taleb, N. N. (2012). Antifragile: things that gain from disorder. New York: Random House.
Yang Y., Yang M., Yuan J., Wang F., Wang Z., Li J., Zhang M., Xing L., Wei J., Peng L., Wong G., Zheng H., Wu W., Shen C., Liao M., Feng K., Li J., Yang Q., Zhao J., Liu L., Liu Y. (2020). Comparative Sensitivity of Different Respiratory Specimen Types for Molecular Diagnosis and Monitoring of SARS-CoV-2 Shedding. Innovation (N Y). Nov 25;1(3):100061. doi: 10.1016/j.xinn.2020.100061
West C.P., Montori V.M., Sampathkumar. P. (2020). COVID-19 testing: the threat of false-negative results. Mayo Clin Proc. 2020 Jun;95(6):1127-1129.
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