Research Article

Can Obesity Prevalence Explain COVID-19 Indicators (Cases, Mortality, and Recovery)? A Comparative Study in OECD Countries

Table 2

Descriptive statistics stratified by 23 OECD countries.

CountriesPopulationINFECTEDSEVERERECOVEREDCOVID-19MORTALITYOVERWEIGHT
Population of the countryCOVID-19 cases per 10,00,000 personsRelative prevalence of severe COVID-19 cases (1 percent = 1%)Relative prevalence of recovery (1 percent = 1%)COVID-19 as the cause of death from the total number of dead persons (1 percent = 1%).Relative frequency of death from COVID-19 (1 percent = 1%).Relative frequency (1 percent = 1%) of overweight in the country (BMI ≥ 25).

AUS25,203,1982670.62840.51.2554.05
BEL11,539,3284,1021.85234315.4951.00
CAN37,411,0471,2961.15383.55.5859.51
CHL18,952,0387293.08530.91.4367.00
CZE10,689,2096970.98381.52.9952.00
DEU83,517,0451,9011.527443.8659.85
EST1,325,6481,2520.54142.23.0151.30
FIN5,532,1568571.18531.34.0761.56
FRA65,129,7282,5462.78273014.0549.00
GBR675,301,3722330.992313.4257.73
HUN9,684,6792741.8519110.9956.53
IRL4,882,4954,0240.7447155.6161.33
ISR8,519,3771,8300.75473.11.3356.55
JPN126,860,3011072.20140.12.8322.76
KOR51,225,3082100.51820.92.2730.89
LUX615,7296,0560.5484232.3654.10
LVA1,906,7434380.48322.21.5654.60
MEX127,575,5291222.43590.59.2367.94
NZL4,783,0633080.07821.2962.20
PRT1,906,74312,7560.7165.83.9067.60
SVK5,457,0132540.43311.4551.07
TUR83,429,6151,3461.55303.72.5859.90
USA329,064,9173,0711.4014105.6264.82

Note: The table reports the sample mean for 23 OECD countries. Information on the frequency of overweight in different countries is available at: https://data.oecd.org/pinboard-editor/ (Last accessed on June 30, 2021). Information regarding the COVID-19 is updated till April 28, 2020. The population data are updated till July 2019.