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©The Author(s) 2024.
World J Virol. Mar 25, 2024; 13(1): 87881
Published online Mar 25, 2024. doi: 10.5501/wjv.v13.i1.87881
Published online Mar 25, 2024. doi: 10.5501/wjv.v13.i1.87881
Variable | Mean (SD) | R2 | Beta (SD) | P value |
Population density1 | 300.96 (1539.00) | 0.027 | -0.116 (0.051) | 0.025 |
GDP per capita in 20201 | 15389.61 (23441.43) | 0.000 | 0.013 (0.053) | 0.812 |
Health Expenditure per capita1 | 1161.25 (1865.17) | 0.176 | -0.251 (0.041) | < 0.001 |
Population ages ≥ 70 yr | 5.42 (4.22) | 0.062 | -0.059 (0.017) | < 0.001 |
Percent Obese | 18.93 (9.93) | 0.042 | -0.021 (0.007) | 0.006 |
Percent Diabetes | 7.92 (4.09) | 0.030 | -0.042 (0.018) | 0.018 |
Percent HIV1 | 1.91 (4.33) | 0.001 | 0.022 (0.066) | 0.743 |
Percent Tobacco Users | 20.05 (9.55) | 0.016 | -0.013 (0.008) | 0.116 |
Life expectancy at birth | 72.53 (7.31) | 0.157 | -0.054 (0.009) | < 0.001 |
General death rate per 1000 | 7.87 (2.97) | 0.017 | 0.044 (0.025) | 0.075 |
Hospital beds per 1000 | 3.29 (2.44) | 0.115 | -0.145 (0.041) | < 0.001 |
Physicians per 1000 | 2.35 (1.93) | 0.064 | -0.197 (0.074) | 0.009 |
Radiologist per 100 K | 13.56 (5.52) | 0.005 | 0.008 (0.026) | 0.759 |
CT scanners per million | 29.05 (20.02) | 0.353 | -0.932 (0.213) | < 0.001 |
Air pollution1 | 22.31 (14.73) | 0.066 | 0.416 (0165) | 0.014 |
Literacy rate | 82.25 (17.33) | 0.067 | 0.013 (0.006) | 0.023 |
Human development index | 0.72 (0.15) | 0.178 | -2.787 (0.445) | < 0.001 |
Tests per 1 million1 | 1654560.98 (2994282.33) | 0.234 | -0.266 (0.036) | < 0.001 |
Doses per 100 people | 133.56 (79.68) | 0.356 | -0.007 (0.001) | < 0.001 |
Given 1+ dose | 57.71 (26.97) | 0.319 | -0.020 (0.002) | < 0.001 |
Percent Fully vaccinated | 52.49 (26.82) | 0.341 | -0.021 (0.002) | < 0.001 |
Model | Variable | Beta (SD) | Standardized beta | P value | R square (P value) |
1 | (Constant) | 7.80 (1.30) | < 0.001 | 0.799 (< 0.001) | |
Health expenditure per capita | -1.06 (0.17) | -0.894 | < 0.001 | ||
2 | (Constant) | 3.42 (1.82) | 0.093 | 0.895 (< 0.001) | |
Health expenditure per capita | -0.79 (0.16) | -0.667 | < 0.001 | ||
Air pollution | 0.93 (0.32) | 0.384 | 0.018 | ||
3 | (Constant) | 4.29 (1.40) | 0.016 | 0.947 (< 0.001) | |
health Expenditure per capita | -0.69 (0.12) | -0.580 | < 0.001 | ||
Air pollution | 0.91 (0.24) | 0.377 | 0.006 | ||
Number of CT scanners (1 million people) | -0.51 (0.18) | -0.246 | 0.023 | ||
4 | (Constant) | 3.10 (1.14) | 0.030 | 0.974 (< 0.001) | |
Health expenditure per capita | -0.58 (0.10) | -0.486 | < 0.001 | ||
Air pollution | 1.01 (0.19) | 0.415 | < 0.001 | ||
Number of CT scanners (per 1 million people) | -0.74 (0.16) | -0.357 | 0.002 | ||
Literacy rate | 0.01 (0.00) | 0.199 | 0.031 |
- Citation: Sagheb S, Gholamrezanezhad A, Pavlovic E, Karami M, Fakhrzadegan M. Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis. World J Virol 2024; 13(1): 87881
- URL: https://www.wjgnet.com/2220-3249/full/v13/i1/87881.htm
- DOI: https://dx.doi.org/10.5501/wjv.v13.i1.87881