Applications of Mathematical Models of Virus to Mpox

MPXV virus or Mpox is a type of virus similar to smallpox that can cause disease in humans. Several experiments have been done to collect data on how Mpox evolves within an infected host. This data can be analyzed within the context of mathematical models to determine important characteristics of Mpox. From this analysis, we can estimate the growth rate, reproduction number, and infecting time of Mpox. We can also construct confidence intervals to estimate the error in our predictions using MCMC. MCMC allows us to analyze parameter correlations within Mpox data to understand how parameter values within the model affect each other. From these values and confidence intervals, we can learn about how Mpox evolves within the body over time. This information, in turn, may allow us to make predictions on how Mpox evolves within people during infection that could inform future treatment regimens.