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COVID-19 second wave mortality in Europe and the United States.
James, Nick; Menzies, Max; Radchenko, Peter.
  • James N; School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia.
  • Menzies M; Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China.
  • Radchenko P; School of Business, University of Sydney, NSW 2006, Australia.
Chaos ; 31(3): 031105, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1152930
ABSTRACT
This paper introduces new methods to analyze the changing progression of COVID-19 cases to deaths in different waves of the pandemic. First, an algorithmic approach partitions each country or state's COVID-19 time series into a first wave and subsequent period. Next, offsets between case and death time series are learned for each country via a normalized inner product. Combining these with additional calculations, we can determine which countries have most substantially reduced the mortality rate of COVID-19. Finally, our paper identifies similarities in the trajectories of cases and deaths for European countries and U.S. states. Our analysis refines the popular conception that the mortality rate has greatly decreased throughout Europe during its second wave of COVID-19; instead, we demonstrate substantial heterogeneity throughout Europe and the U.S. The Netherlands exhibited the largest reduction of mortality, a factor of 16, followed by Denmark, France, Belgium, and other Western European countries, greater than both Eastern European countries and U.S. states. Some structural similarity is observed between Europe and the United States, in which Northeastern states have been the most successful in the country. Such analysis may help European countries learn from each other's experiences and differing successes to develop the best policies to combat COVID-19 as a collective unit.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 / Models, Biological Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Country/Region as subject: North America / Europa Language: English Journal: Chaos Journal subject: Science Year: 2021 Document Type: Article Affiliation country: 5.0041569

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 / Models, Biological Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Country/Region as subject: North America / Europa Language: English Journal: Chaos Journal subject: Science Year: 2021 Document Type: Article Affiliation country: 5.0041569