COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation

COVID-19 has escalated into one of the most serious crises in the 21st Century. Given the rapid spread of SARS-CoV-2 and its high mortality rate, here we investigate the impact and relationship of airborne PM2.5 to COVID-19 mortality. Previous studies have indicated that PM2.5 has a positive relatio...

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Autores:: Shao, Longyi
Cao, Yaxin
Jones, Tim
Santosh, M.
Silva Oliveira, Luis Felipe
Ge, Shuoyi
da Boit, Kátia
Feng, Xiaolei
Zhang, Mengyuan
BéruBé, Kelly

Tipo de recurso:: http://purl.org/coar/resource_type/c_816b

Fecha de publicación:: 2020

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:

id	RCUC2_a7701772386636e0c4edb9f3919d040a
oai_identifier_str	oai:repositorio.cuc.edu.co:11323/9005
network_acronym_str	RCUC2
network_name_str	REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
title	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
spellingShingle	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation Correlation analysis Covid-19 Lag time Mortality PM2.5
title_short	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
title_full	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
title_fullStr	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
title_full_unstemmed	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
title_sort	COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation
dc.creator.fl_str_mv	Shao, Longyi Cao, Yaxin Jones, Tim Santosh, M. Silva Oliveira, Luis Felipe Ge, Shuoyi da Boit, Kátia Feng, Xiaolei Zhang, Mengyuan BéruBé, Kelly
dc.contributor.author.spa.fl_str_mv	Shao, Longyi Cao, Yaxin Jones, Tim Santosh, M. Silva Oliveira, Luis Felipe Ge, Shuoyi da Boit, Kátia Feng, Xiaolei Zhang, Mengyuan BéruBé, Kelly
dc.subject.spa.fl_str_mv	Correlation analysis Covid-19 Lag time Mortality PM2.5
topic	Correlation analysis Covid-19 Lag time Mortality PM2.5
description	COVID-19 has escalated into one of the most serious crises in the 21st Century. Given the rapid spread of SARS-CoV-2 and its high mortality rate, here we investigate the impact and relationship of airborne PM2.5 to COVID-19 mortality. Previous studies have indicated that PM2.5 has a positive relationship with the spread of COVID-19. To gain insights into the delayed effect of PM2.5 concentration (μgm−3) on mortality, we focused on the role of PM2.5 in Wuhan City in China and COVID-19 during the period December 27, 2019 to April 7, 2020. We also considered the possible impact of various meteorological factors such as temperature, precipitation, wind speed, atmospheric pressure and precipitation on pollutant levels. The results from the Pearson's correlation coefficient analyses reveal that the population exposed to higher levels of PM2.5 pollution are susceptible to COVID-19 mortality with a lag time of >18 days. By establishing a generalized additive model, the delayed effect of PM2.5 on the death toll of COVID-19 was verified. A negative correction was identified between temperature and number of COVID-19 deaths, whereas atmospheric pressure exhibits a positive correlation with deaths, both with a significant lag effect. The results from our study suggest that these epidemiological relationships may contribute to the understanding of the COVID-19 pandemic and provide insights for public health strategies.
publishDate	2020
dc.date.issued.none.fl_str_mv	2020-02-01
dc.date.accessioned.none.fl_str_mv	2022-01-25T18:15:09Z
dc.date.available.none.fl_str_mv	2022-01-25T18:15:09Z
dc.date.embargoEnd.none.fl_str_mv	2024-02-01
dc.type.spa.fl_str_mv	Pre-Publicación
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv	Text
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/preprint
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/ARTOTR
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
format	http://purl.org/coar/resource_type/c_816b
status_str	acceptedVersion
dc.identifier.issn.spa.fl_str_mv	0048-9697 1879-1026
dc.identifier.uri.spa.fl_str_mv	https://hdl.handle.net/11323/9005
dc.identifier.doi.spa.fl_str_mv	https://doi.org/10.1016/j.scitotenv.2021.151286
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv	REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.cuc.edu.co/
identifier_str_mv	0048-9697 1879-1026 Corporación Universidad de la Costa REDICUC - Repositorio CUC
url	https://hdl.handle.net/11323/9005 https://doi.org/10.1016/j.scitotenv.2021.151286 https://repositorio.cuc.edu.co/
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spelling	Shao, LongyiCao, YaxinJones, TimSantosh, M.Silva Oliveira, Luis FelipeGe, Shuoyida Boit, KátiaFeng, XiaoleiZhang, MengyuanBéruBé, Kelly2022-01-25T18:15:09Z2022-01-25T18:15:09Z2020-02-012024-02-010048-96971879-1026https://hdl.handle.net/11323/9005https://doi.org/10.1016/j.scitotenv.2021.151286Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/COVID-19 has escalated into one of the most serious crises in the 21st Century. Given the rapid spread of SARS-CoV-2 and its high mortality rate, here we investigate the impact and relationship of airborne PM2.5 to COVID-19 mortality. Previous studies have indicated that PM2.5 has a positive relationship with the spread of COVID-19. To gain insights into the delayed effect of PM2.5 concentration (μgm−3) on mortality, we focused on the role of PM2.5 in Wuhan City in China and COVID-19 during the period December 27, 2019 to April 7, 2020. We also considered the possible impact of various meteorological factors such as temperature, precipitation, wind speed, atmospheric pressure and precipitation on pollutant levels. The results from the Pearson's correlation coefficient analyses reveal that the population exposed to higher levels of PM2.5 pollution are susceptible to COVID-19 mortality with a lag time of >18 days. By establishing a generalized additive model, the delayed effect of PM2.5 on the death toll of COVID-19 was verified. A negative correction was identified between temperature and number of COVID-19 deaths, whereas atmospheric pressure exhibits a positive correlation with deaths, both with a significant lag effect. The results from our study suggest that these epidemiological relationships may contribute to the understanding of the COVID-19 pandemic and provide insights for public health strategies.Shao, Longyi-will be generated-orcid-0000-0001-9975-6091-600Cao, YaxinJones, TimSantosh, M.Silva Oliveira, Luis FelipeGe, Shuoyida Boit, KátiaFeng, XiaoleiZhang, MengyuanBéruBé, Kellyapplication/pdfCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Science of the Total Environmenthttps://www.sciencedirect.com/science/article/pii/S0048969721063646Correlation analysisCovid-19Lag timeMortalityPM2.5COVID-19 mortality and exposure to airborne PM2.5: a lag time correlationPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionAidoo et al., 2021 E.N. Aidoo, A.O. 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Kan Acute effects of personal exposure to fine particulate matter on salivary and urinary biomarkers of inflammation and oxidative stress in healthy adults Chemosphere, 272 (2021), Article 129906, 10.1016/j.chemosphere.2021.129906PublicationORIGINALCOVID-19 mortality and exposure to airborne PM2.5.pdfCOVID-19 mortality and exposure to airborne PM2.5.pdfapplication/pdf59727https://repositorio.cuc.edu.co/bitstreams/99e0d961-4199-47b3-8e84-2d614762b9b0/download4d8acadd47ebe673d80f96159bdd57fcMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/3a3fe62a-ff22-487a-98d9-711aeba0d695/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/9d18006f-5613-483c-a1ea-b6a454620351/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILCOVID-19 mortality and exposure to airborne PM2.5.pdf.jpgCOVID-19 mortality and exposure to airborne 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COVID-19 mortality and exposure to airborne PM2.5: a lag time correlation

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