Bibliographic citations
Hernández, G., Huapaya, L. (2022). Estimar la brecha de desigualdad en la distribución de la mortalidad por COVID-19 en los distritos de Lima Metropolitana y Callao en el año 2020 [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/659767
Hernández, G., Huapaya, L. Estimar la brecha de desigualdad en la distribución de la mortalidad por COVID-19 en los distritos de Lima Metropolitana y Callao en el año 2020 [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/659767
@misc{renati/399231,
title = "Estimar la brecha de desigualdad en la distribución de la mortalidad por COVID-19 en los distritos de Lima Metropolitana y Callao en el año 2020",
author = "Huapaya Purizaca, Luis Jose",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
Objectives: To estimate the inequality gap of the distribution of mortality from COVID-19 based on 3 social determinants in the districts of metropolitan Lima and Callao during March-June of 2020. Methods: An ecological study was conducted at the district level. Data were obtained from databases belonging to public institutions in Peru. The absolute and relative Kuznets index were estimated. Subsequently, a random regression model was used to examine the relationship between three social indicators and COVID-19 mortality rates in the mentioned districts. Results: The mortality rate trend for the three determinants evaluated raise as better indicators were found. A negative concentration curve was found (in favor of the most disadvantaged) in every case. Further, districts at the bottom 20% of better determinants of health concentrates up to 18% of the mortality rate, while the 20% at the top concentrates up to 22% of the rate. Conclusions: The social determinants of health are key when evaluating the impact of a pandemic on the population. Analyzing their relationship allows the authorities to create and improve health measures to reduce the repercussions of the disease. We found for the 3 stratifiers analyzed that the mortality rate increases as the population is more privileged. Placing more emphasis on reducing the fragmentation of our health system and generating incentives to promote the decentralization of professionals would greatly help to reduce the inequality gap. Disagreeing with the analyzed bibliography, it is necessary to carry out more studies to have a better perspective.
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