Abst Viruses are important pathogens of high animals and the major cause of mortality, and they also are drivers of global geochemical cycles; yet, biological sciences considered them as entities separate from the realm of life and acting merely as mechanical artifacts that can exchange genes between different species, genera, phyla and even from one ecosystem to another. During the last decade, the increased awareness of the complexity of the immune system and its determinants, including at the host genetic level, indicated that using system biology approaches to assess how various processes and networks interact in response to immunization could prove more illustrative than trying to isolate and characterize a few components of vaccine responses. These immune-related concerns have largely spread into the population, and questions related to the immunological safety of vaccines that is, their capacity for triggering 2 non-antigen specific responses possibly leading to allergy, autoimmunity, or even premature death are being raised. Certain “off-targets effects” of vaccines have also been recognized and call for studies to quantify their impact and identify the mechanisms at play. This study uses multiple linear regression analysis to predict and predict changes in the value of certain variables when other variables change. Correlation is one of the statistical analysis techniques used to find the relationship of how strong the relationship between two or more variables that are quantitative. By using the Linearity Test (Lillie force test) where f count > f table is 787,62 > 3,24Then, Ho is rejected. This means that multiple linear regression analysis can be used to predict The Corona virus 19 vaccines in world by analyzing Variable The death rate and confirmed the corona virus 19 data. Obtained the multiple linear regression equation is Y = 0,609211 - 3,15845257X1 + 3,58359X2, the correlation value of the variables above is 0,98389 the value is superior correlation scale ranging from 0.76 to 0.99. Is where t1 count < t table is -12,078 < 2,009, then Ho is accepted, meaning there is no significant effect partially between the Variable The Corona virus 19 vaccine and The death rate. Then the value of the t2 count > t table is 3,62523 > 2,009. Ho is rejected; it means that there is a large significant influence partially between the Corona virus 19 vaccines against confirmed the corona virus 19 variable in World on August 2021.