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The spatial correlation between the spread of covid-19 and vulnerable urban areas in santiago de chile

Abstract:

This article identifies the spatial correlation between the social determinants of health in the housing area (housing prices, overcrowding, poor-quality building materials, and household socioeconomic vulnerability) and the spread of COVID-19 in Santiago de Chile. The research used data from the 2017 Census conducted by the National Institute of Statistics of Chile and data on confirmed cases of COVID-19 (PCR) by communes provided by/obtained from Chile’s Ministry of Health. The article provides a two-fold examination/analysis of the spatial correlation using the Pearson measure to observe how the virus spread from areas with high-quality housing in the early stage of the contagion to then become concentrated in areas with low-quality of housing. The second examination/analysis is a multiple linear regression to identify the housing factors that inform virus propagation. The test results show that of the four social determinants of health relating to housing assessed here, housing prices is the variable that best pbkp_redicts how the social determinants of health based on housing explain the progress of the pandemic for the Santiago case, following the collinearity factors according to the data used in this study. The conclusions suggest that public policy should treat housing quality as a factor in public health and health risks that needs to be addressed with a transdisciplinary approach to urban planning in Chile.