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Ethnic disparities in COVID-19 mortality in Mexico: a cross-sectional study based on national data | |
ISMAEL IBARRA NAVA KATHIA GABRIELA FLORES RODRIGUEZ VIOLETA RUIZ HERRERA Hilda C. Ochoa Bayona ALFONSO SALINAS ZERTUCHE Magaly Padilla Orozco RAUL GABINO SALAZAR MONTALVO | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
https://doi.org/10.1101/2020.08.26.20182543 | |
https://www.medrxiv.org/content/10.1101/2020.08.26.20182543v1.full.pdf+html | |
Objective: To analyze the mortality associated with ethnicity, particularly of Indigenous peoples, in a large sample of patients with COVID-19 in Mexico. Design: National, cross-sectional study. Setting: Mexico. Participants: 416546 adult patients; 4178 Indigenous peoples with COVID-19 were the primary population under study. Main outcome measures: The primary outcome was mortality from COVID-19 up to August 3rd, 2020. Logistic regression was used to calculate odds ratios while adjusting for confounders. Results: Among all patients with COVID-19, whether hospitalized or not, a higher proportion of Indigenous peoples died compared to non-Indigenous people (16.5% vs 11.1%, respectively). Among hospitalized patients, a higher proportion of Indigenous peoples died (37.1%) compared to non-Indigenous peoples (36.3%). Deaths outside the hospital were also higher among Indigenous peoples (3.7% vs 1.7%). A higher proportion of Indigenous peoples died in both the private and public health care sectors. The adjusted odds ratio for COVID-19 mortality among Indigenous peoples with COVID-19 was 1.13 (95% confidence interval 1.03 to 1.24). The adjusted odds ratio for COVID-19 mortality among Indigenous peoples with COVID-19 was higher among those who received only ambulatory care (1.55, 95% confidence interval 1.24 to 1.92). | |
medRxiv and bioRxiv | |
26-08-2020 | |
Documento de trabajo | |
www.medrxiv.org | |
Inglés | |
Epidemia COVID-19 | |
Público en general | |
VIRUS RESPIRATORIOS | |
Versión publicada | |
publishedVersion - Versión publicada | |
Aparece en las colecciones: | Artículos científicos |
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