An Innovate Comparative Research Method to determine the convergence (/or divergence) of the Infective Virus like COVID-19 & Common Flu

Infectious disease has a long history with our human beings. These diseases have been well known from the common flu in Spring to the most recent one such as the COVID-19 etc. People always want to find a cure such as vaccine to them. However, as the diseases’ viruses have thousands or mil-lions of mutation in their DNA or RNA, it is therefore difficult to predict the next popular species that may be spread among people in the coming year. Mathematically, the combinatoric plus the optimi-zation techniques may be the most feasible way to solve the problem. In the present thesis, this author suggests an innovate comparative research method that includes research group (HKLam regres-sion) and the control group (other regressions) to the infected virus such as COVID-19 or common flu etc. The aforementioned method is used to determine these virus(es)’s convergence (/or) diver-gence mutations such that we may further genetic edit them to obtain several feasible vaccine candi-dates for further investigation in human beings etc. In other words, we are trying to artificially devel-oped a tailor made “cow-pox” for these infected viruses and hence may be save millions of our lives.