Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries

•A segmented Poisson model incorporating the power law and the exponential law was proposed to study the COVID-19 outbreaks.•Turning point, final size, duration and the attack rate were estimated.•The data of daily new cases of the six Western countries in the Group of Seven was analyzed. In this pa...

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Veröffentlicht in:Chaos, solitons and fractals Jg. 135; S. 109829
Hauptverfasser: Zhang, Xiaolei, Ma, Renjun, Wang, Lin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Elsevier Ltd 01.06.2020
Schlagworte:
Attack rate
COVID-19 pandemic
Poisson regression
Turning point
COVID-19 pandemic
Attack rate
Poisson regression
Turning point
ISSN:0960-0779, 1873-2887, 0960-0779
Online-Zugang:Volltext
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Zusammenfassung:•A segmented Poisson model incorporating the power law and the exponential law was proposed to study the COVID-19 outbreaks.•Turning point, final size, duration and the attack rate were estimated.•The data of daily new cases of the six Western countries in the Group of Seven was analyzed. In this paper, we employed a segmented Poisson model to analyze the available daily new cases data of the COVID-19 outbreaks in the six Western countries of the Group of Seven, namely, Canada, France, Germany, Italy, UK and USA. We incorporated the governments’ interventions (stay-at-home advises/orders, lockdowns, quarantines and social distancing) against COVID-19 into consideration. Our analysis allowed us to make a statistical prediction on the turning point (the time that the daily new cases peak), the duration (the period that the outbreak lasts) and the attack rate (the percentage of the total population that will be infected over the course of the outbreak) for these countries.
Bibliographie:ObjectType-Article-1
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ISSN:0960-0779
1873-2887
0960-0779
DOI:10.1016/j.chaos.2020.109829