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. 2020 Oct 16;102:118–122. doi: 10.1016/j.ijid.2020.10.038

Table 3.

Linear regression showing predictors of COVID-19 mortality rate.

Independent variables R2 Unstandardized coefficients
Standardized coefficients t p 95.0% confidence interval for B
B SE Beta Lower bound Upper bound
65-yr+ mortality % 0.574 2.858 0.631 0.695 4.528 0.000 1.549 4.167
Mean age 0.570 4.765 1.204 0.645 3.959 0.001 2.269 7.261
Life expectancy 0.524 1.666 0.574 0.527 2.905 0.008 0.477 2.856
CVD deaths 0.524 −0.584 0.213 −0.605 −2.745 0.012 −1.027 −0.142
Mortality rate 0.429 1.507 0.929 0.216 0.790 0.439 0.285 2.729
DM prevalence 0.254 1.207 0.822 0.241 0.888 0.385 0.255 2.806

Dependent variable: COVID-19 mortality rate (deaths per million). 65-yr+ mortality % = percentage of total deaths who were >65 yrs old in the pre-COVID-19 era, R2 = variation in dependent variable that can be explained by the independent variable, beta = regression coefficient, SE = standard error, p = level of significance, CVD = cardiovascular diseases, DM = diabetes mellitus.