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Evidence that coronavirus superspreading is fat-tailed
by
Collins, James J.
, Wong, Felix
in
Applied Mathematics
/ Basic Reproduction Number - statistics & numerical data
/ Biological Sciences
/ Biophysics and Computational Biology
/ BRIEF REPORTS
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ COVID-19 - transmission
/ Disease control
/ Disease transmission
/ Extreme values
/ Humans
/ Models, Statistical
/ Pandemics - statistics & numerical data
/ Physical Sciences
/ Severe acute respiratory syndrome coronavirus 2
/ Viral diseases
2020
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Evidence that coronavirus superspreading is fat-tailed
by
Collins, James J.
, Wong, Felix
in
Applied Mathematics
/ Basic Reproduction Number - statistics & numerical data
/ Biological Sciences
/ Biophysics and Computational Biology
/ BRIEF REPORTS
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ COVID-19 - transmission
/ Disease control
/ Disease transmission
/ Extreme values
/ Humans
/ Models, Statistical
/ Pandemics - statistics & numerical data
/ Physical Sciences
/ Severe acute respiratory syndrome coronavirus 2
/ Viral diseases
2020
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Do you wish to request the book?
Evidence that coronavirus superspreading is fat-tailed
by
Collins, James J.
, Wong, Felix
in
Applied Mathematics
/ Basic Reproduction Number - statistics & numerical data
/ Biological Sciences
/ Biophysics and Computational Biology
/ BRIEF REPORTS
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ COVID-19 - transmission
/ Disease control
/ Disease transmission
/ Extreme values
/ Humans
/ Models, Statistical
/ Pandemics - statistics & numerical data
/ Physical Sciences
/ Severe acute respiratory syndrome coronavirus 2
/ Viral diseases
2020
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Journal Article
Evidence that coronavirus superspreading is fat-tailed
2020
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Overview
Superspreaders, infected individuals who result in an outsized number of secondary cases, are believed to underlie a significant fraction of total SARS-CoV-2 transmission. Here, we combine empirical observations of SARS-CoV and SARS-CoV-2 transmission and extreme value statistics to show that the distribution of secondary cases is consistent with being fat-tailed, implying that large superspreading events are extremal, yet probable, occurrences. We integrate these results with interaction-based network models of disease transmission and show that superspreading, when it is fat-tailed, leads to pronounced transmission by increasing dispersion. Our findings indicate that large superspreading events should be the targets of interventions that minimize tail exposure.
Publisher
National Academy of Sciences
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