Introduction <p>Since 1970, monkey-pox, the last outbreak of smallpox, coronavirus was outbreak in the world for more than 50&#xa0;years. To find if the outbreak dates could be predicted by their one-dimension protein sequence, the mathematical model was needed to establish between them.</p> Methods <p>(A) collecting the outbreak dates of monkey-pox, smallpox, and coronavirus, determine the outbreak time interval between the pathogen strain and the reference strain SARS-CoV-2 D614, z. (B) detecting the one-dimension antigenic amino acid sequence of the pathogen strain to determine the super-antigens. (C) calculating the super-antigen precision, determining the increase amount in antigen precision between the pathogen strain and the reference strain, x; y represents the number of tryptophan (W) in the super-antigen. (D) Determine the correlation among the outbreak time interval z, the increase amount in antigen precision, x, and the number of W the super-antigen contains, y.</p> Results <p>The regression equation is z = 13.762x²− 109.376x− 63.290y + 221.197, with a correlation coefficient of R = 1.0000000. After statistical testing, the probability of class I errors occurring is <i>P</i> = 0.008.</p> Conclusions <p>The method can predict the outbreak dates by one-dimension protein sequence, such as monkey-pox, smallpox, and coronavirus.</p>