Chasing the Elusive Numbers That Define Epidemics

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Researchers can’t directly observe many key features of disease transmission. As a result, they rely on statistical models to translate what they can see to what they want to know. But they’re finding that for Covid-19 in particular, some of these methods have been giving them the wrong answers. This fascinating look details how some epidemiologists and other scientists had to dig deeper into modeling the strength and speed of Covid-19, and one of those researchers includes Joshua Weitz, School of Biological Sciences professor and Director of the Interdisciplinary PhD in Quantitative Biosciences program at Georgia Tech. 

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College of Sciences, School of Biological Sciences

Biotechnology, Health, Bioengineering, Genetics
College of Sciences, School of Biological Sciences, Joshua Weitz, disease modeling, covid-19, pandemics, epidemics
  • Created By: Renay San Miguel
  • Workflow Status: Published
  • Created On: Mar 22, 2021 - 1:36pm
  • Last Updated: Mar 22, 2021 - 1:36pm