Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility
Abstract Peru suffered the highest mortality rates worldwide during the COVID-19 pandemic. In this study, we assessed the Peruvian districts' all causes of mortality-associated sociodemographic factors before and during the COVID-19 pandemic using mixed-effects Poisson regression models. During...
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Lenguaje: | inglés |
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2022
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| _version_ | 1881508951174938624 |
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| author | Quispe, Antonio M. Vargas, Lucía Morales Garcia, Wilter Charming López Gonzales, Javier Linkolk Sanchez Garces, Jorge Alejandro |
| author_browse | López Gonzales, Javier Linkolk Morales Garcia, Wilter Charming Quispe, Antonio M. Sanchez Garces, Jorge Alejandro Vargas, Lucía |
| author_facet | Quispe, Antonio M. Vargas, Lucía Morales Garcia, Wilter Charming López Gonzales, Javier Linkolk Sanchez Garces, Jorge Alejandro |
| author_sort | Quispe, Antonio M. |
| collection | Producción científica |
| description | Abstract Peru suffered the highest mortality rates worldwide during the COVID-19 pandemic. In this study, we assessed the Peruvian districts' all causes of mortality-associated sociodemographic factors before and during the COVID-19 pandemic using mixed-effects Poisson regression models. During the pre-pandemic and the first four COVID-19 waves, the Peruvian districts reported mean weekly mortality of 22.3 (standard deviation 40.4), 29.2 (38.7), 32.5 (47.2), 26.8 (38.9), and 24.4 (38.0), respectively. We observed that before the COVID-19 pandemic, the districts' weekly deaths were associated with the human development index ((HDI) adjusted incidence rate ratio (aIRR) 0.11 (95% confidence interval 0.11–0.12)), accessibility (aIRR 0.99 (0.99–0.99)), poverty (aIRR 0.99 (0.99–0.99)), and anemia (aIRR 0.99 (0.99–0.99)). However, during each of the first four COVID-19 waves, the magnitude of association between the districts' weekly deaths and HDI decreased (first, aIRR 0.61 (0.58−0.64); second, aIRR 0.54 (0.52−0.57); third, aIRR 0.20 (0.19−0.22); fourth, aIRR 0.17 (0.15−0.19)), but the association with accessibility (aIRR 0.99 (0.99–0.99)), poverty (aIRR 0.99 (0.99–0.99)), and anemia (aIRR 0.99(0.99–0.99)) remain constant. Before and during the COVID-19 pandemic, a solid association existed between all-cause mortality and the district's sociodemographics, increasing with lower HDI, accessibility, poverty, and anemia rates. |
| format | Preprint |
| id | oai:cris.upeu.edu.pe:20.500.15037/1331 |
| institution | UPeU |
| language | English |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/13312026-11-02T22:00:04ZMortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibilityQuispe, Antonio M.Vargas, LucíaMorales Garcia, Wilter CharmingLópez Gonzales, Javier LinkolkSanchez Garces, Jorge AlejandroAbstract Peru suffered the highest mortality rates worldwide during the COVID-19 pandemic. In this study, we assessed the Peruvian districts' all causes of mortality-associated sociodemographic factors before and during the COVID-19 pandemic using mixed-effects Poisson regression models. During the pre-pandemic and the first four COVID-19 waves, the Peruvian districts reported mean weekly mortality of 22.3 (standard deviation 40.4), 29.2 (38.7), 32.5 (47.2), 26.8 (38.9), and 24.4 (38.0), respectively. We observed that before the COVID-19 pandemic, the districts' weekly deaths were associated with the human development index ((HDI) adjusted incidence rate ratio (aIRR) 0.11 (95% confidence interval 0.11–0.12)), accessibility (aIRR 0.99 (0.99–0.99)), poverty (aIRR 0.99 (0.99–0.99)), and anemia (aIRR 0.99 (0.99–0.99)). However, during each of the first four COVID-19 waves, the magnitude of association between the districts' weekly deaths and HDI decreased (first, aIRR 0.61 (0.58−0.64); second, aIRR 0.54 (0.52−0.57); third, aIRR 0.20 (0.19−0.22); fourth, aIRR 0.17 (0.15−0.19)), but the association with accessibility (aIRR 0.99 (0.99–0.99)), poverty (aIRR 0.99 (0.99–0.99)), and anemia (aIRR 0.99(0.99–0.99)) remain constant. Before and during the COVID-19 pandemic, a solid association existed between all-cause mortality and the district's sociodemographics, increasing with lower HDI, accessibility, poverty, and anemia rates.Preprinthttps://www.researchsquare.com/article/rs-2160215/latest.pdfhttps://doi.org/10.21203/rs.3.rs-2160215/v110.21203/rs.3.rs-2160215/v1https://hdl.handle.net/20.500.15037/1331W4306844403enResearch Square2022-10-192026-06-13T09:53:38Z2026-06-13T09:53:38Z |
| spellingShingle | Quispe, Antonio M. Vargas, Lucía Morales Garcia, Wilter Charming López Gonzales, Javier Linkolk Sanchez Garces, Jorge Alejandro Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility |
| title | Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility |
| title_full | Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility |
| title_fullStr | Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility |
| title_full_unstemmed | Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility |
| title_short | Mortality from all causes before and during the COVID-19 pandemic in Peru: The role of sociodemographic factors and accessibility |
| title_sort | mortality from all causes before and during the covid 19 pandemic in peru the role of sociodemographic factors and accessibility |
| url | https://www.researchsquare.com/article/rs-2160215/latest.pdf https://doi.org/10.21203/rs.3.rs-2160215/v1 https://hdl.handle.net/20.500.15037/1331 |
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