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A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study

BACKGROUND: The COVID-19 pandemic has affected the world in multiple ways and has been a challenge for the health systems of each country. From the beginning, risk factors for the severity and mortality of the disease were considered, as the spread of the virus was related to the living conditions o...

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Autores principales: Baquerizo-Sedano, L., Goni, L., Sayón-Orea, C., González-Muniesa, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234586/
https://www.ncbi.nlm.nih.gov/pubmed/37264338
http://dx.doi.org/10.1186/s12889-023-15537-7
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author Baquerizo-Sedano, L.
Goni, L.
Sayón-Orea, C.
González-Muniesa, P.
author_facet Baquerizo-Sedano, L.
Goni, L.
Sayón-Orea, C.
González-Muniesa, P.
author_sort Baquerizo-Sedano, L.
collection PubMed
description BACKGROUND: The COVID-19 pandemic has affected the world in multiple ways and has been a challenge for the health systems of each country. From the beginning, risk factors for the severity and mortality of the disease were considered, as the spread of the virus was related to the living conditions of each population. METHODS: In this ecological study we have evaluated the role of geography, precisely the altitude above sea level in the incidence and mortality of COVID-19 in Peru. Incidence and mortality data were taken from the open-access database of the government of Peru until March 2021. COVID-19 cases and COVID-19 mortality were treated as cases/density population and 1000 x cases/inhabitants while altitude was treated as continuous and as a categorical variable divided in 7 categories. The relationship between COVID-19 cases or deaths for COVID-19 and altitude as continuous variable was determined using Spearman correlation test. Meanwhile when altitude was considered as a categorical variable, Poisson regression or negative binomial analyses were applied. RESULTS: A significant inverse correlation was found between COVID-19 cases by population density and altitude (r=-0.37 p < 0.001). By altitude categories, the lowest risk for infection was observed between 3,000 and 3,500 m (IRR 0.08; 95% CI 0.05,0.12). Moreover, we found an inverse correlation between altitude and COVID-19 mortality (r=-0.39 p < 0.001). Also, the lowest risk for mortality was observed between 3,000 and 3,500 m (IRR 0.12; 95%CI 0.08; 0.18). Similar results were found when analyses were adjusted for inhabitants and stratified by sex. CONCLUSION: This study reports an inverse relationship between COVID-19 incidence and mortality with respect to the altitude of residence, particularly, a u-shaped protection is shown, with a highest benefit between 3000 and 3500 m. The possibility of using hypoxia as an alternative treatment requires more complex studies that should allow knowing the physiological and environmental mechanisms of the protective role. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15537-7.
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spelling pubmed-102345862023-06-01 A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study Baquerizo-Sedano, L. Goni, L. Sayón-Orea, C. González-Muniesa, P. BMC Public Health Research BACKGROUND: The COVID-19 pandemic has affected the world in multiple ways and has been a challenge for the health systems of each country. From the beginning, risk factors for the severity and mortality of the disease were considered, as the spread of the virus was related to the living conditions of each population. METHODS: In this ecological study we have evaluated the role of geography, precisely the altitude above sea level in the incidence and mortality of COVID-19 in Peru. Incidence and mortality data were taken from the open-access database of the government of Peru until March 2021. COVID-19 cases and COVID-19 mortality were treated as cases/density population and 1000 x cases/inhabitants while altitude was treated as continuous and as a categorical variable divided in 7 categories. The relationship between COVID-19 cases or deaths for COVID-19 and altitude as continuous variable was determined using Spearman correlation test. Meanwhile when altitude was considered as a categorical variable, Poisson regression or negative binomial analyses were applied. RESULTS: A significant inverse correlation was found between COVID-19 cases by population density and altitude (r=-0.37 p < 0.001). By altitude categories, the lowest risk for infection was observed between 3,000 and 3,500 m (IRR 0.08; 95% CI 0.05,0.12). Moreover, we found an inverse correlation between altitude and COVID-19 mortality (r=-0.39 p < 0.001). Also, the lowest risk for mortality was observed between 3,000 and 3,500 m (IRR 0.12; 95%CI 0.08; 0.18). Similar results were found when analyses were adjusted for inhabitants and stratified by sex. CONCLUSION: This study reports an inverse relationship between COVID-19 incidence and mortality with respect to the altitude of residence, particularly, a u-shaped protection is shown, with a highest benefit between 3000 and 3500 m. The possibility of using hypoxia as an alternative treatment requires more complex studies that should allow knowing the physiological and environmental mechanisms of the protective role. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15537-7. BioMed Central 2023-06-01 /pmc/articles/PMC10234586/ /pubmed/37264338 http://dx.doi.org/10.1186/s12889-023-15537-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Baquerizo-Sedano, L.
Goni, L.
Sayón-Orea, C.
González-Muniesa, P.
A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study
title A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study
title_full A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study
title_fullStr A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study
title_full_unstemmed A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study
title_short A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: an ecological study
title_sort u-shaped protection of altitude against mortality and infection of covid-19 in peru: an ecological study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234586/
https://www.ncbi.nlm.nih.gov/pubmed/37264338
http://dx.doi.org/10.1186/s12889-023-15537-7
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