Super Spreaders and Other Statistical Swings in Epidemic Models

Super Spreaders and Other Statistical Swings in Epidemic Models

Mathematical models of epidemics are crucial tools for preventing and controlling outbreaks of infectious diseases, such as the novel coronavirus currently ravaging the world. In such models, it is important to be able to describe the effects of ‘super spreaders’, infected individuals who go on to infect unusually many other people.

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The Big Question: NTU’s Richard Sugrue on SARS-CoV-2 Challenges

Richard Sugrue is an Associate Professor at the School of Biological Sciences, Nanyang Technological University, Singapore. His research focuses on the biology of RNA viruses. In particular, his lab is trying to understand, at the molecular level, the role that host-cell factors play during specific stages of the virus replication cycle, such as virus replication and assembly.

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