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Modeling viral clades improves prediction of COVID-19 growth rates – News-Medical.Net
A new study conducted by researchers at the University of Connecticut has revealed a correlation between the prevalence of particular clades of severe acute res…
A new study conducted by researchers at the University of Connecticut has revealed a correlation between the prevalence of particular clades of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the growth rate of the associated illness coronavirus disease 2019 (COVID-19).
Derek Corcoran and colleagues found that models of early COVID-19 growth dynamics that included the different clades the virus has mutated into significantly improved growth rate predictions.
Including clades i…
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