Objetivo. Estimar la desigualdad social en salud en la distribución de incidencia de COVID-19 en distritos de Lima Metropolitana y Callao, en el año 2020.
Métodos. Se realizó un estudio ecológico a nivel distrital. Los datos se obtuvieron de diversas bases de datos institucionales. Se calcularon las métricas estándar, tales como la brecha absoluta y relativa, el índice de desigualdad de la pendiente, desigualdad proporcional e índice de concentración para analizar la relación entre varios indicadores de determinantes sociales y la incidencia de COVID-19 en 43 distritos de Lima Metropolitana y Callao en 2020, con el programa R Studio.
Resultados. Este estudio demostró que, los distritos con mayor IDH, menor pobreza, mayor acceso a agua potable y alcantarillado presentan una mayor incidencia de COVID-19. Se calculó la desigualdad absoluta y relativa según los estratificadores sociales; sin embargo, estas son de mayor utilidad al compararse con los años.
Conclusiones. Se determinó que los distritos con mayor IDH, menor pobreza monetaria, mayor acceso a agua potable y alcantarillado presentan una mayor incidencia de COVID-19. Esto se adjudicó al poco acceso a los servicios de salud y el pobre conocimiento de la enfermedad por parte de la población menos favorecida, lo cual se tradujo en un subdiagnóstico. Es probable que una actualización de los datos conlleve a una variación de los resultados. / Objective. Estimate social inequality in health in the distribution of incidence of COVID-19 in the districts of Lima Metropolitana and Callao, in 2020.
Methods. This is an ecological study at the district level. The data were obtained from institutional databases. The relationship between four social determinants index and the incidence of COVID-19 in all the districts of Lima Metropolitana and Callao from March to June 2020 was evaluated, measuring the absolute and relative gaps, the slope index of inequality, proportional inequality and concentration index for each district, with R Studio program.
Results. This study showed that the districts with higher HDI, lower poverty, greater access to potable water and sewerage system have a higher incidence of COVID-19. Absolute and relative inequality were calculated according to social stratifiers; however, these are more useful when compared with the years.
Conclusion. It was determined that districts with higher HDI, lower monetary poverty, greater access to potable water and sewerage system have a higher incidence of COVID-19. This was attributed to poor access to health services and poor knowledge of the disease by the less favored population, that resulted in an underdiagnosis. An update of the data is likely to lead to a variation of the results. / Tesis
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/659398 |
| Date | 04 January 2022 |
| Creators | Albornoz Padilla, Ángela Solange, Calderón Sánchez, Valerie del Rosario |
| Contributors | Munayco Escate, Cesar Vladimir |
| Publisher | Universidad Peruana de Ciencias Aplicadas (UPC), PE |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Language | Spanish |
| Detected Language | Spanish |
| Type | info:eu-repo/semantics/bachelorThesis |
| Format | application/pdf, application/epub, application/msword |
| Source | Universidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico - UPC |
| Rights | info:eu-repo/semantics/openAccess, Attribution-NonCommercial-ShareAlike 4.0 International, http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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