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Comparison of Deaths Rates for COVID-19 across Europe During the First Wave of the COVID-19 Pandemic.
Villani, Leonardo; McKee, Martin; Cascini, Fidelia; Ricciardi, Walter; Boccia, Stefania.
  • Villani L; Section of Hygiene, Department of Life Sciences and Public Health, Universitá Cattolica del Sacro Cuore, Rome, Italy.
  • McKee M; London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Cascini F; Section of Hygiene, Department of Life Sciences and Public Health, Universitá Cattolica del Sacro Cuore, Rome, Italy.
  • Ricciardi W; Section of Hygiene, Department of Life Sciences and Public Health, Universitá Cattolica del Sacro Cuore, Rome, Italy.
  • Boccia S; Section of Hygiene, Department of Life Sciences and Public Health, Universitá Cattolica del Sacro Cuore, Rome, Italy.
Front Public Health ; 8: 620416, 2020.
Article in English | MEDLINE | ID: covidwho-1004713
ABSTRACT

Background:

Europe overall suffered greatly in the early stages of the COVID-19 pandemic but the impact of different countries varied. Italy was in the forefront, but there too there were differences, with the Lombardy region the epicentre of the pandemic.

Methods:

We report Crude Mortality Rates (CMRs) from deaths reported as due to COVID-19 and, in five countries where age-specific data are available, Standardized Mortality Rates (SMRs) in the European Union and United Kingdom.

Results:

As of 30th August 2020, Belgium was the country with the highest cumulative CMR (86.3/100,000), but the Lombardy region reached almost double this figure (167.6/100,000), far ahead of the corresponding figure for the rest of Italy at 37.0/100,000. SMRs could be calculated for five countries (Italy, Portugal, Sweden, Germany, and Netherlands). Among them, Sweden had the highest SMR (61.6/100,000). The corresponding figures for Italy, Netherlands, Portugal and Germany were 50.2, 41.4, 15.9, and 10.1 per 100,000, respectively.

Conclusion:

It is clear that countries within Europe have performed very differently in their responses to the COVID-19 pandemic, but the many limitations in the available data must be addressed before a definitive assessment of the reasons for these differences can be made.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Front Public Health Year: 2020 Document Type: Article Affiliation country: Fpubh.2020.620416

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Front Public Health Year: 2020 Document Type: Article Affiliation country: Fpubh.2020.620416