This is a preview. Log in through your library . Abstract We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types of individuals. Infectious individuals can ...
Rochester Institute of Technology scientists have developed a method they believe will help epidemiologists more efficiently predict the spread of the COVID-19 pandemic. Their new study, published in ...
The "variable generalised stochastic epidemic" model, which allows for variability in both the susceptibilities and infectivities of individuals, is analysed. A very different epidemic model which ...
A new mathematical model has been introduced by experts, which offers a simplified approach to studying the spread of the infectious virus, Dengue fever, in urban areas, specifically breaking down the ...
In particular, the analysis shows that interventions may be more beneficial when adjusted in relation to the herd immunity ...
A new class of epidemiological models based on alternative thinking about how contagions propagate, particularly in the early phases of a pandemic, provide a blueprint for more accurate epidemic ...
Scientists have developed a method they believe will help epidemiologists more efficiently predict the spread of the COVID-19 pandemic. Their new study outlines a solution to the SIR epidemic model, ...
Rochester Institute of Technology scientists have developed a method they believe will help epidemiologists more efficiently predict the spread of the COVID-19 pandemic. Their new study, published in ...
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