8/26/2023 0 Comments Bcg matrix amcFirst, the direction and strength of correlations associated with COVID-19 are sensitive to the method employed to construct the composite indicator and not just the geographic scale and space. These findings allow reaching four conclusions. The composite indicator constructed by the Principal Component Analysis considers that the sub-indicators have the same weights in different census tracts, resulting in a highly consistent composite indicator as a multidimensional phenomenon concept ( R=-0.93). It weakly captures the conceptually most significant individual indicator of social vulnerability ( R=-0.39), as it overestimates the above-average performance sub-indicators. The composite indicator constructed by the Benefit-of-the-Doubt considers spatial heterogeneity. For this, two composite indicators of social vulnerability have been constructed. This research explores the relationship between COVID-19 and social vulnerability on an intra-urban scale.
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