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An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases

As coronavirus spreads around the world, the study of its effects is of great practical significance. We collated data on daily new cases of the COVID-19 outbreaks in the six Western countries of the Group of Seven and the dates of governments’ interventions. We studied the periods before and after...

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Autores principales: wei, Wei, Zhang, Xiaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286837/
https://www.ncbi.nlm.nih.gov/pubmed/32562479
http://dx.doi.org/10.1016/j.dib.2020.105830
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author wei, Wei
Zhang, Xiaolei
author_facet wei, Wei
Zhang, Xiaolei
author_sort wei, Wei
collection PubMed
description As coronavirus spreads around the world, the study of its effects is of great practical significance. We collated data on daily new cases of the COVID-19 outbreaks in the six Western countries of the Group of Seven and the dates of governments’ interventions. We studied the periods before and after the dates of major governments’ interventions integrally based on a segmented Poisson model. The relevant results are published in the paper of “Predicting turning point, duration and attack rate of COVID - 19 outbreaks in major Western countries” [1]. Our method can be used to update prediction daily as COVID-19 outbreaks evolve. In this article, we illustrate an updated analysis with our method to facilitate reproducibility. Both datasets used and updated are provided.
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spelling pubmed-72868372020-06-11 An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases wei, Wei Zhang, Xiaolei Data Brief Mathematics As coronavirus spreads around the world, the study of its effects is of great practical significance. We collated data on daily new cases of the COVID-19 outbreaks in the six Western countries of the Group of Seven and the dates of governments’ interventions. We studied the periods before and after the dates of major governments’ interventions integrally based on a segmented Poisson model. The relevant results are published in the paper of “Predicting turning point, duration and attack rate of COVID - 19 outbreaks in major Western countries” [1]. Our method can be used to update prediction daily as COVID-19 outbreaks evolve. In this article, we illustrate an updated analysis with our method to facilitate reproducibility. Both datasets used and updated are provided. Elsevier 2020-06-11 /pmc/articles/PMC7286837/ /pubmed/32562479 http://dx.doi.org/10.1016/j.dib.2020.105830 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Mathematics
wei, Wei
Zhang, Xiaolei
An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases
title An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases
title_full An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases
title_fullStr An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases
title_full_unstemmed An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases
title_short An updated analysis of turning point, duration and attack rate of COVID-19 outbreaks in major Western countries with data of daily new cases
title_sort updated analysis of turning point, duration and attack rate of covid-19 outbreaks in major western countries with data of daily new cases
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286837/
https://www.ncbi.nlm.nih.gov/pubmed/32562479
http://dx.doi.org/10.1016/j.dib.2020.105830
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