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The importance of the GDP per capita factor increases and becomes the main explanatory factor.
The standardized coefficients of the independent variables ranked from high to low by their magnitude are: Factor 3, loss per capita, Factor 1, Factor 2, intensity, and Factor 4. Because Factor 2, Factor 4, and intensity are not significant, we do not provide deeper discussion on these variables.
Venezuela was the only country to offer tailored prophylaxis based on the Canadian protocol (50 IU kg−1 1x/week or 30 IU kg−1 2x/week or 25 30 IU kg−1 3x/week) 8. Per capita factor usage was highest in Argentina and Chile, where long-term prophylaxis has been available for the longest period of time (Table 1).
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In Region 3, four variables are significant: intercept, loss per capita, Factors 1 and 3.
Figure 6 shows the spatial patterns of the coefficients for intercept, intensity of earthquake, economic loss per capita, Factors 1 4.
With respect to the prosecution rate, domestic migration and GDP per capita factors are significant at the 0.05 level; the rental-housing factor is not significant; the unemployment factor is significant at the 0.01 level; and the family guardian factor is significant at the 0.1 level.
It has higher coefficients of intensity, loss per capita, and Factor 1, and lower coefficients of intercept and Factor 3 than other regions.
Model (q) is the regression model that is based on per capita economic factor.
In this region, intercept, loss per capita, and Factors 1 and 3 are significant.
In this region intercept, loss per capita, and Factors 1 and 3 are significant but the magnitudes are not very strong.
At the second round of regression with the 103 counties, the least squares regression result (Table 5) shows that the intercept (general level of recovery capability), loss per capita, and Factors 1 and 3 in the model are statistically significant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com