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Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis
BACKGROUND: Coronavirus disease 2019 (COVID-19) originated in the People’s Republic of China in December 2019. Thereafter, a global logarithmic expansion of cases occurred. Some countries have a higher rate of infections despite the early implementation of quarantine. Air pollution might be related...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208068/ https://www.ncbi.nlm.nih.gov/pubmed/34134699 http://dx.doi.org/10.1186/s12889-021-11232-7 |
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author | Vasquez-Apestegui, Bertha V. Parras-Garrido, Enrique Tapia, Vilma Paz-Aparicio, Valeria M. Rojas, Jhojan P. Sanchez-Ccoyllo, Odón R. Gonzales, Gustavo F. |
author_facet | Vasquez-Apestegui, Bertha V. Parras-Garrido, Enrique Tapia, Vilma Paz-Aparicio, Valeria M. Rojas, Jhojan P. Sanchez-Ccoyllo, Odón R. Gonzales, Gustavo F. |
author_sort | Vasquez-Apestegui, Bertha V. |
collection | PubMed |
description | BACKGROUND: Coronavirus disease 2019 (COVID-19) originated in the People’s Republic of China in December 2019. Thereafter, a global logarithmic expansion of cases occurred. Some countries have a higher rate of infections despite the early implementation of quarantine. Air pollution might be related to high susceptibility to the virus and associated case fatality rates (deaths/cases*100). Lima, Peru, has the second highest incidence of COVID-19 in Latin America and also has one the highest levels of air pollution in the region. METHODS: This study investigated the association of levels of PM(2.5) exposure in previous years (2010–2016) in 24 districts of Lima with cases, deaths and case fatality rates for COVID-19. Multiple linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020. RESULTS: There were 128,700 cases in Lima and 2382 deaths due to COVID-19. The case fatality rate was 1.93%. Previous exposure to PM(2.5) (2010—2016) was associated with the number of COVID-19- cases (β = 0.07; 95% CI: 0.034–0.107) and deaths (β = 0.0014; 95% CI: 0.0006–0.0.0023) but not with the case fatality rate. CONCLUSIONS: After adjusting for age, sex and number of food markets, the higher rates of COVID-19 in Metropolitan Lima are attributable to the increased PM(2.5) exposure in the previous years, among other reasons. Reduction in air pollution from a long-term perspective and social distancing are needed to prevent the spread of virus outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11232-7. |
format | Online Article Text |
id | pubmed-8208068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82080682021-06-17 Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis Vasquez-Apestegui, Bertha V. Parras-Garrido, Enrique Tapia, Vilma Paz-Aparicio, Valeria M. Rojas, Jhojan P. Sanchez-Ccoyllo, Odón R. Gonzales, Gustavo F. BMC Public Health Research BACKGROUND: Coronavirus disease 2019 (COVID-19) originated in the People’s Republic of China in December 2019. Thereafter, a global logarithmic expansion of cases occurred. Some countries have a higher rate of infections despite the early implementation of quarantine. Air pollution might be related to high susceptibility to the virus and associated case fatality rates (deaths/cases*100). Lima, Peru, has the second highest incidence of COVID-19 in Latin America and also has one the highest levels of air pollution in the region. METHODS: This study investigated the association of levels of PM(2.5) exposure in previous years (2010–2016) in 24 districts of Lima with cases, deaths and case fatality rates for COVID-19. Multiple linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020. RESULTS: There were 128,700 cases in Lima and 2382 deaths due to COVID-19. The case fatality rate was 1.93%. Previous exposure to PM(2.5) (2010—2016) was associated with the number of COVID-19- cases (β = 0.07; 95% CI: 0.034–0.107) and deaths (β = 0.0014; 95% CI: 0.0006–0.0.0023) but not with the case fatality rate. CONCLUSIONS: After adjusting for age, sex and number of food markets, the higher rates of COVID-19 in Metropolitan Lima are attributable to the increased PM(2.5) exposure in the previous years, among other reasons. Reduction in air pollution from a long-term perspective and social distancing are needed to prevent the spread of virus outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11232-7. BioMed Central 2021-06-16 /pmc/articles/PMC8208068/ /pubmed/34134699 http://dx.doi.org/10.1186/s12889-021-11232-7 Text en © The Author(s) 2021 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 Vasquez-Apestegui, Bertha V. Parras-Garrido, Enrique Tapia, Vilma Paz-Aparicio, Valeria M. Rojas, Jhojan P. Sanchez-Ccoyllo, Odón R. Gonzales, Gustavo F. Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis |
title | Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis |
title_full | Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis |
title_fullStr | Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis |
title_full_unstemmed | Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis |
title_short | Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis |
title_sort | association between air pollution in lima and the high incidence of covid-19: findings from a post hoc analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208068/ https://www.ncbi.nlm.nih.gov/pubmed/34134699 http://dx.doi.org/10.1186/s12889-021-11232-7 |
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