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. 2020 Sep 9;4(4):bjgpopen20X101129. doi: 10.3399/bjgpopen20X101129

Table 1. Country maximum COVID-19 mortality rates controlling for various confounders.

Subgroupa,b,c,d n Spearman’s ρ P value
All countries 38 0.5275 0.0007
Countries with testing policy = 1 25 0.5297 0.0065
Countries with testing policy = 2 6 0.3714 0.4685
Countries with border closures = 0 7 0.6071 0.1482
Countries with border closures = 3 13 0.4622 0.1118
Countries with border closures = 4 9 0.5500 0.1250
Countries with young populations 19 0.4952 0.0311
Countries with older populations 19 0.1667 0.4953
Countries with oldest populations 10 0.0303 0.9338
High-income countries 23 0.2490 0.2519
Upper-middle income countries 9 0.2176 0.5739
Lower-middle income countries 5 –0.3591 0.5528

aTesting policy as ranked by the Oxford COVID-19 Government Response Tracker: 0 = no testing policy; 1 = only those who both a) have symptoms; and b) meet specific criteria (for example, key workers, admitted to hospital, came into contact with a known case, and/or returned from overseas); 2 = testing of anyone showing COVID-19 symptoms; 3 = open public testing (for example, ’drive through’ testing available to asymptomatic people); and Blank = no data. bBorder closure metric measures restrictions on international travel as ranked by the Oxford COVID-19 Government Response Tracker: 0 = no restrictions; 1 = screening arrivals; 2 = quarantine arrivals from some or all regions; 3 = ban arrivals from some regions; 4 = ban on all regions or total border closure; and Blank = no data. cAge of population: young populations = proportion of the population aged ≥65 years is below 50th percentile; older populations = proportion of the population aged ≥65 years is between 50th and 75th percentile; and oldest populations = proportion of the population aged ≥65 years is above the 75th percentile. dOnly subgroups with a minimum of five countries were included, hence low-income countries were excluded from subgroup analyses.