Despite days in close quarters with flu patients, healthy volunteers didn’t get sick – revealing insights into transmission.
Articles on Infectious disease dynamics
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By merging genomics with classical epidemiology, researchers are able to predict new disease outbreaks based on which viral variants are on the rise.
In the real world, new diseases emerge from complex environments. To learn more about how, scientists set up whole artificial ecosystems in the lab, instead of focusing on just one factor at a time.
Epidemiologists want to quickly identify any emerging disease’s potential to spread far and wide. Dependent on a number of factors, this R0 number helps them figure that out and plan accordingly.
The novel coronavirus spreading outward from Wuhan, China, will get an assist from a subset of infected people who transmit it to many others.
Top contributors
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Professor of Population Health & Reproduction, University of California, Davis
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Ph.D. Student in Integrative Pathobiology, University of California, Davis
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Associate Professor of Microbial Bioinformatics, Nottingham Trent University
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Professor and Chair of Epidemiology, University of Michigan
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Professor of Biomedical Sciences and Vice President for Research, Colorado State University
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Professor of Biomedical Sciences, Colorado State University
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Professor of Entomology and Director of the Center for Infectious Disease Dynamics, Penn State