TY - JOUR
T1 - Determinantes sociales de la mortalidad por covid-19
T2 - El caso peruano
AU - Zea-Montesinos, César Cipriano
AU - Pacovilca-Alejo, Olga Vicentina
AU - Pacovilca-Alejo, Gelber Sebasti
AU - Almeida-Galindo, José Santiago
AU - Zagaceta-Guevara, Zaida
AU - Millán-Camposano, Héctor Vicehich
AU - Quispe-Ilanzo, Melisa Pamela
AU - Oyola-García, Alfredo Enrique
N1 - Publisher Copyright:
© 2023 Universidad de Ciencias Medicas de La Hab. All rights reserved.
PY - 2023/9
Y1 - 2023/9
N2 - Introduction: The impact of the COVID-19 pandemic has been very different in terms of morbidity and mortality, even among those territories with similar socioeconomic conditions and political backgrounds. Objective: To identify social determinants of socio-geographic inequality from COVID-19 mortality in Peru during the first year of pandemic. Material and Methods: Observational ecological research, based on the secondary analysis of mortality by COVID-19 during the year 2020 in the subnational governments of Peru. Results: The percentage of the population registered with social security was the only variable with statistical significance (t=2.921; p=0.008) that explained GMR due to COVID-19 (F=21.360; p=0.000). Adequate employment was the only variable with statistical significance (t=3.018; p=0.006) that explained SMR due to COVID-19 (F=18.910; p=0.000). The excess GMR and SMR due to COVID-19 amounted to 227.93 and 138.76 deaths per 100,000 inhabitants along the social gradient determined by the population enrolled in social security and those with adequate employment, respectively. Conclusions: The percentage of the economically active population with adequate employment, which is mainly under the social security, would have been the social determinant of the socio-gepgrphic inequality in COVID-19 mortality between the different subnational governments of Peru during the first year of the pandemic.
AB - Introduction: The impact of the COVID-19 pandemic has been very different in terms of morbidity and mortality, even among those territories with similar socioeconomic conditions and political backgrounds. Objective: To identify social determinants of socio-geographic inequality from COVID-19 mortality in Peru during the first year of pandemic. Material and Methods: Observational ecological research, based on the secondary analysis of mortality by COVID-19 during the year 2020 in the subnational governments of Peru. Results: The percentage of the population registered with social security was the only variable with statistical significance (t=2.921; p=0.008) that explained GMR due to COVID-19 (F=21.360; p=0.000). Adequate employment was the only variable with statistical significance (t=3.018; p=0.006) that explained SMR due to COVID-19 (F=18.910; p=0.000). The excess GMR and SMR due to COVID-19 amounted to 227.93 and 138.76 deaths per 100,000 inhabitants along the social gradient determined by the population enrolled in social security and those with adequate employment, respectively. Conclusions: The percentage of the economically active population with adequate employment, which is mainly under the social security, would have been the social determinant of the socio-gepgrphic inequality in COVID-19 mortality between the different subnational governments of Peru during the first year of the pandemic.
KW - Coronavirus infections
KW - collective effects of health disparities
KW - mortality
KW - pandemics
UR - https://www.scopus.com/pages/publications/85192752531
M3 - Artículo
AN - SCOPUS:85192752531
SN - 1729-519X
VL - 22
JO - Revista Habanera de Ciencias Medicas
JF - Revista Habanera de Ciencias Medicas
IS - 5
M1 - 5400
ER -