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Inverse correlates of COVID-19 mortality across European countries during the first versus subsequent waves.
Villani, Leonardo; Pastorino, Roberta; Ricciardi, Walter; Ioannidis, John; Boccia, Stefania.
  • Villani L; Section of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.
  • Pastorino R; Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy roberta.pastorino@policlinicogemelli.it.
  • Ricciardi W; Section of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.
  • Ioannidis J; Stanford Prevention Research Center, Department of Medicine, and Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
  • Boccia S; Meta-Research Innovation Center at Stanford, (METRICS), Stanford, CA, USA.
BMJ Glob Health ; 6(8)2021 08.
Article in English | MEDLINE | ID: covidwho-1350019
ABSTRACT
The objectives of the study were to calculate the standardised mortality rates (SMRs) for COVID-19 in European Union/European Economic Area countries plus the UK and Switzerland and to evaluate the correlation between SMRs and selected indicators in the first versus the subsequent waves until 23 June 2021. We used indirect standardisation (using Italy as the reference) to compute SMRs and considered 16 indicators of health and social well-being, health system capacity and COVID-19 response. The highest SMRs were in Belgium, the UK and Spain in the first wave (1.20-1.84) and in Hungary, Czechia and Slovakia in the subsequent waves (2.50-2.69). Human Development Index (HDI), life expectancy, urbanisation and healthcare expenditure had positive correlations with SMR in the first wave (rho=0.30-0.46), but negative correlations (rho=-0.67 to -0.47) in the subsequent waves. Retail/recreation mobility and transit mobility were negatively correlated with SMR in the first wave, while transit mobility was inversely correlated with SMR in the subsequent waves. The first wave hit most hard countries with high HDI, high life expectancy, high urbanisation, high health expenditures and high tourism. This pattern may reflect higher early community seeding and circulation of the virus. Conversely, in the subsequent waves, this pattern was completely inversed countries with more resources and better health status did better than eastern European countries. While major SMR differences existed across countries in the first wave, these differences largely dissipated by 23 June 2021, with few exceptions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Year: 2021 Document Type: Article Affiliation country: Bmjgh-2021-006422

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Year: 2021 Document Type: Article Affiliation country: Bmjgh-2021-006422