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Table 1 Correlation between excess deaths (PLAA) and relevant variables

From: Does mask usage correlate with excess mortality? Findings from 24 European countries

Predictor

Response variable

\(\varvec{\uprho }\)a

CIb

pc

PLAA

Cardiovasc death rate

0.667

[0.361, 0.844]

< .001

Total cases per million

0.387

[−0.019, 0.684]

0.061

Total deaths per million

0.878

[0.736, 0.946]

< .001

% fully vaccinated

−0.659

[−0.839, −0.349]

< .001

GDP per capita

−0.781

[−0.901, −0.552]

< .001

Gini

0.078

[−0.336, 0.467]

0.718

Human development index

−0.829

[−0.923, −0.639]

< .001

Life expectancy

−0.642

[−0.831, −0.323]

< .001

Masks avg.

0.477

[0.092, 0.739]

0.018

Obesity rate (%)

0.345

[−0.068, 0.657]

0.099

% of seniors (\(\ge 65\))

−0.217

[−0.57, 0.204]

0.308

Population (urban) density

0.022

[−0.385, 0.422]

0.918

Stringency

0.03

[−0.378, 0.428]

0.891

  1. aSpearman’s correlation coefficient
  2. bConfidence interval (at 95%)
  3. cp-value