The proposed Degenerate Beta Autoregressive model performed well compared to the existing autoregressive moving average models. An R shiny app has been provided for the same. The estimation is done using maximum likelihood with a non-linear optimization algorithm. The proposed model includes autoregressive terms along with explanatory variables.

We proposed a Degenerate Beta Autoregressive model which is a mixture of continuous and discrete distributions with probability mass at zero or one. The Escherichia coli, isolated from blood cultures showing variable susceptibility results to different antimicrobial agents, has been obtained from a clinical microbiology laboratory of a tertiary care hospital, Udupi district, Karnataka, during the years between 20.

This study aims to propose a time-series model for continuous rates or proportions when the interval of series includes zeros or ones and compares the model with existing models. Commonly used time-series analysis such as autoregressive moving average model is inappropriate for such data and may arrive at biased results. Infectious disease control researchers most often analyze and predict antimicrobial resistance rate data that includes zeros or ones. There is an urgent requirement for a cost-effective strategy to reduce antimicrobial resistance.

This has ended in a public health disaster of the global situation, which threatens the exercise of present-day remedy. Antimicrobial resistance has emerged as one of the foremost public health troubles of the 21st century.

R shiny server cost