Model-free estimation of COVID-19 transmission dynamics from a complete outbreak

Examines the COVID-19 epidemic transmission tree in New Zealand using detailed case data and contact tracing information, noting it is an unusual dataset because it describes a closed outbreak in which there are no ongoing transmission chains, and many cases are epidemiologically linked to a likely...

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Veröffentlicht in:PloS one 2021-03, Vol.16 (3), p.e0238800-e0238800
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description Examines the COVID-19 epidemic transmission tree in New Zealand using detailed case data and contact tracing information, noting it is an unusual dataset because it describes a closed outbreak in which there are no ongoing transmission chains, and many cases are epidemiologically linked to a likely index case. Uses Monte-Carlo network construction techniques to provide an estimate of the number of secondary cases for every individual infected during the outbreak, then applies standard statistical techniques to quantify differences between groups of individuals. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
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subjects Age
Asymptomatic
Bans
Contact tracing
Contact Tracing - methods
Contact Tracing - statistics & numerical data
Control
Coronaviruses
COVID-19
COVID-19 (Disease)
COVID-19 - epidemiology
COVID-19 - prevention & control
COVID-19 - transmission
Data processing
Disease Outbreaks - prevention & control
Disease transmission
Editing
Epidemics
Epidemics - prevention & control
Epidemiology
Humans
Infections
Investigations
Medicine and Health Sciences
Methodology
Monte Carlo Method
New Zealand
New Zealand - epidemiology
People and places
Physical Distancing
Physics
Quarantine
SARS-CoV-2 - metabolism
SARS-CoV-2 - pathogenicity
School closures
Social Sciences
Statistics
Transmission
title Model-free estimation of COVID-19 transmission dynamics from a complete outbreak
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