ABSTRACT
RESUMEN Objetivo Estimar la magnitud de daños a la salud por la pandemia de COVID-19 y su dinámica en Ometepec, Xochistlahuaca y Tlacoachistlahuaca, en Guerrero, México, durante 2020. Métodos Estudio retrospectivo hecho mediante un análisis secundario de la base de datos de COVID-19 de la Secretaría de Salud de México. Con análisis bivariado y regresión logística binaria, se desarrollaron estimaciones de series de tiempo y de magnitud del daño a la salud por COVID-19. Resultados Durante las semanas epidemiológicas 12 a 40 de 2020, se confirmaron 325 casos y 28 defunciones por COVID-19. De los casos confirmados, solo 16 % fueron indígenas. Dos de cada tres defunciones ocurrieron en las primeras 48 horas del ingreso hospitalario. Las variables predictoras que mejor se ajustaron al modelo de regresión, asociadas a la letalidad hospitalaria, fueron diabetes, neumonía asociada a COVID-19 y edad de 50 años o mayor. Conclusiones Es importante enfatizar los datos de alarma de la COVID-19 a la población indígena (en particular, la dificultad respiratoria) y factores asociados a complicaciones por COVID-19 como diabetes y edad avanzada, para incrementar el uso oportuno de los servicios de salud.
ABSTRACT Objective To estimate the magnitude and dynamics of health outcomes related to the COVID-19 pandemic and the dynamic in Ometepec, Xochistlahuaca and Tlacoachist-lahuaca in Guerrero, Mexico. Methods Retrospective study developed from the secondary analysis of the COVID-19 database, from the Mexican Ministry of Health in 2020. We developed time series and estimated the magnitude of the health effects of the pandemic by means of bivariate analysis and binary logistic regression models. Results The public health services registered 325 confirmed cases and 28 deaths from COVID-19 during epidemiologic weeks 12 to 40 in 2020. Nearly 16% of confirmed cases pertained to patients self-reported as indigenous people. Two out of three deaths occurred within 48 hours of hospital admission. Diabetes, COVID-19 pneumonia and being age 50 years or older were the predictor variables associated with hospital fatality which best fit our regression models. Conclusions It is essential to promote a greater use of government health services among indigenous populations by disseminating culturally relevant information on war-ning signs such as difficulty breathing and risk factors such as suffering from diabetes and being an older adult.