Epidemics with a Path to Quantum Epidemics | Biomedgrid

SIR is an effective means of analysing a standard infection scenario, whereby (S) stands for the susceptible people who are healthy but can contract the disease, infectives (I) accounts for those who have contracted and can transmit a disease, and the removed cases (R) accounts for a population that leaves the infection either through death or recovery. Investigated the SIR model using the analytical matrix method in which they determined the distribution of the final stage of the process. Epidemic models evaluate the manner in which infectious diseases spread in a population. They also made several interesting measures of the dimensions of the epidemic. However, the model has not been investigated in terms of attaining threshold data for reference and validity [1] presents a case for SIS and SIR epidemic models for individual populations and insists that the SIS model has only been applied to sexually transmitted diseases. However, SIS fails to account for the spread of some epidemics because it makes the assumptions that there are no vertical transmissions and no disease-related deaths. SIR is a bivariate process with joint probability functions for random variables, unlike the SIS model.