Abstract

Poor living conditions promote the spread of communicable diseases. It happened with Tuberculosis (TB) and is happening with COVID-19. Due to its dynamic nature, this group of diseases must be studied in the context of the social determinants of health. To describe the epidemiological behavior of COVID-19 in response to the control strategies implemented by the Chilean Ministry of Health and its similarities with the socio-economic distribution of TB in the Metropolitan Region (MR) of Chile. The 2018 Tuberculosis rates and average income of districts belonging to the MR were described, as well as the incidence rates of COVID-19. A Pearson correlation analysis was applied between the rates of both diseases, to assess similarities in the epidemiological distribution patterns. The RM accounts for over 50% of the total national cases of COVID-19. After the implementation of selective quarantines, only four districts in the RM managed to control the outbreak (those with the highest incomes). In the rest, a clear increase in cases was observed. The districts with the highest increase in cases were the most disadvantaged, and those with the highest TB rates during 2018, with a correlation coefficient of 0.6. Control policies cannot deepen health inequalities. If vulnerable groups, as well as the factors that determine their health, are not properly identified, the consequences of the current pandemic could be even more devastating.

Highlights

  • Poor living conditions promote the spread of communicable diseases

  • It happened with Tuberculosis

  • this group of diseases must be studied in the context of the social determinants

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Summary

Background

Poor living conditions promote the spread of communicable diseases. It happened with Tuberculosis (TB) and is happening with COVID-19. El objetivo de este estudio es decribir la relación entre los patrones epidemiológicos del COVID-19 y la Tuberculosis en la Región Metropolitana de Chile, desde la perspectiva de los determinantes de la salud. Se realizó una correlación lineal simple (correlación de Pearson) entre las tasa de incidencia de TB del año 2018 y la tasa promedio de COVID-19 durante las semanas epidemiológicas 14, 15 y 16 en las comunas pertenecientes a los SSMC, SSMN y SSMS. El número de casos de TB fue obtenido desde los registros de vigilancia del Programa de Control y Eliminación de Tuberculosis (PROCET); los casos de COVID-19 de los informes epidemiológicos del Ministerio de Salud de Chile y la población por comuna, del CENSO 2017.

Materiales y Métodos
Pedro Aguirre Cerda
Findings
Discusión y Conclusiones
Full Text
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