Examining the Relation between Virus Mutation and Vaccination. A Data Analysis.
Mihai Nadin1*, Ayush Sharma2, Gaurav Shekar3
1Institute for Research in Anticipatory Systems, Ashbel Smith University Professor Emeritus, University of Texas at Dallas ORCID: 0000-0001-9712-8921
2MSBA Business Analytics, University of Texas at Dallas ORCID: 0000-0001-8185-3299
3Senior Assistant Dean – Graduate Programs, Naveen Jindal School of Management, The University of Texas at Dallas
Public-domain available data documents the dynamics of variance characteristic of the COVID-19 pandemic. The enormous, but fractured, vaccination effort, and the still surprising dynamics of variants suggest possible inferences. The premise of the data analysis subject of this report is that vaccination, as an anticipatory action, is supposed to be preventive. The timeline of vaccine development for the large number of coronavirus forms suggests that the window of opportunity for prevention was missed. As a consequence, medicine was asked to react by finding means and methods for controlling the parameters of a pandemic. Various interventions were pursued under the pressure of the situation. As the record shows, such interventions can result in intentional or unintentional selective pressure on the virus associated with pandemic. The hypothesis that this pressure may favor the emergence of variants informs the research presented in this study. We examined mutations that result in partial immune evasion, not as an accident, but in connection to the vaccination effort. The data analysis performed suggests that the occurrence and frequency of vaccine-resistant mutations correlate with vaccination rates in certain regions.
DOI: 10.29245/2694-068X/2025/1.1101 View / Download Pdf