A refined version of the stochastic Volterra integral model for an epidemic of the new corona virus SARS-CoV-2, causing the COVID-19 disease, is analysed. The system is constructed from the correspond
Table of events for the stochastic model (as in [16]), where λi is the gamma distribution for individual i, δ() is the Dirac delta function and g is the proportion treated.
BackgroundEarly warning systems for outbreaks of infectious diseases are an important application of the ecological theory of epidemics. A key variable predicted by early warning systems is the final
BackgroundEarly warning systems for outbreaks of infectious diseases are an important application of the ecological theory of epidemics. A key variable predicted by early warning systems is the final
