New York, May 31 -- Researchers have developed a method they believe will help epidemiologists predict more efficiently the spread of the COVID-19 pandemic.
The study, published in the journal Physica D: Nonlinear Phenomena, outlines a solution to the 'SIR' epidemic model, which is commonly used to predict how many people are susceptible to, infected by, and recovered from viral epidemics.
The method has been created by researchers from the Rochester Institute of Technology (RTI) in the US.
They said that by using this solution to the model, epidemiologists can quickly forecast many different scenarios of how COVID-19 could spread, based on a variety of variables. Projections produced by mathematical models help public officials make pol...