Revealing the air pollution burden associated with internal Migration in Peru

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This study aims to quantify changes in outdoor (ambient) air pollution exposure from different migration patterns within Peru and quantify its effect on premature mortality. Data on ambient fine particulate matter (PM2.5) was obtained from the National Aeronautics and Space Administration (NASA). Ce...

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Detalles Bibliográficos
Autores: Carrasco-Escobar G., Schwarz L., Miranda J.J., Benmarhnia T.
Formato: artículo
Fecha de Publicación:2020
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2455
Enlace del recurso:https://hdl.handle.net/20.500.12390/2455
https://doi.org/10.1038/s41598-020-64043-y
Nivel de acceso:acceso abierto
Materia:Transients and Migrants
Air Pollution
Humans
Particulate Matter
Peru
http://purl.org/pe-repo/ocde/ford#1.05.09
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dc.title.none.fl_str_mv Revealing the air pollution burden associated with internal Migration in Peru
title Revealing the air pollution burden associated with internal Migration in Peru
spellingShingle Revealing the air pollution burden associated with internal Migration in Peru
Carrasco-Escobar G.
Transients and Migrants
Air Pollution
Humans
Particulate Matter
Peru
http://purl.org/pe-repo/ocde/ford#1.05.09
title_short Revealing the air pollution burden associated with internal Migration in Peru
title_full Revealing the air pollution burden associated with internal Migration in Peru
title_fullStr Revealing the air pollution burden associated with internal Migration in Peru
title_full_unstemmed Revealing the air pollution burden associated with internal Migration in Peru
title_sort Revealing the air pollution burden associated with internal Migration in Peru
author Carrasco-Escobar G.
author_facet Carrasco-Escobar G.
Schwarz L.
Miranda J.J.
Benmarhnia T.
author_role author
author2 Schwarz L.
Miranda J.J.
Benmarhnia T.
author2_role author
author
author
dc.contributor.author.fl_str_mv Carrasco-Escobar G.
Schwarz L.
Miranda J.J.
Benmarhnia T.
dc.subject.none.fl_str_mv Transients and Migrants
topic Transients and Migrants
Air Pollution
Humans
Particulate Matter
Peru
http://purl.org/pe-repo/ocde/ford#1.05.09
dc.subject.es_PE.fl_str_mv Air Pollution
Humans
Particulate Matter
Peru
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.09
description This study aims to quantify changes in outdoor (ambient) air pollution exposure from different migration patterns within Peru and quantify its effect on premature mortality. Data on ambient fine particulate matter (PM2.5) was obtained from the National Aeronautics and Space Administration (NASA). Census data was used to calculate rates of within-country migration at the district level. We calculated differences in PM2.5 exposure between “current” (2016–2017) and “origin” (2012) districts for each migration patterns. Using an exposure-response relationship for PM2.5 extracted from a meta-analysis, and mortality rates from the Peruvian Ministry of Health, we quantified premature mortality attributable to each migration pattern. Changes in outdoor PM2.5 exposure were observed between 2012 and 2016 with highest levels of PM2.5 in the Department of Lima. A strong spatial autocorrelation of outdoor PM2.5 values (Moran’s I = 0.847, p-value=0.001) was observed. In Greater Lima, rural-to-urban and urban-to-urban migrants experienced 10-fold increases in outdoor PM2.5 exposure in comparison with non-migrants. Changes in outdoor PM2.5 exposure due to migration drove 137.1 (95%CI: 93.2, 179.4) premature deaths related to air pollution, with rural-urban producing the highest risk of mortality from exposure to higher levels of ambient air pollution. Our results demonstrate that the rural-urban and urban-urban migrant groups have higher rates of air pollution-related deaths. © 2020, The Author(s).
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2020
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dc.identifier.citation.none.fl_str_mv Carrasco-Escobar, G., Schwarz, L., Miranda, J.J. et al. Revealing the air pollution burden associated with internal Migration in Peru. Sci Rep 10, 7147 (2020). https://doi.org/10.1038/s41598-020-64043-y
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2455
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1038/s41598-020-64043-y
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85083972607
identifier_str_mv Carrasco-Escobar, G., Schwarz, L., Miranda, J.J. et al. Revealing the air pollution burden associated with internal Migration in Peru. Sci Rep 10, 7147 (2020). https://doi.org/10.1038/s41598-020-64043-y
2-s2.0-85083972607
url https://hdl.handle.net/20.500.12390/2455
https://doi.org/10.1038/s41598-020-64043-y
dc.language.iso.none.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
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spelling Publicationrp01113600rp06212600rp00670600rp06211600Carrasco-Escobar G.Schwarz L.Miranda J.J.Benmarhnia T.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020Carrasco-Escobar, G., Schwarz, L., Miranda, J.J. et al. Revealing the air pollution burden associated with internal Migration in Peru. Sci Rep 10, 7147 (2020). https://doi.org/10.1038/s41598-020-64043-yhttps://hdl.handle.net/20.500.12390/2455https://doi.org/10.1038/s41598-020-64043-y2-s2.0-85083972607This study aims to quantify changes in outdoor (ambient) air pollution exposure from different migration patterns within Peru and quantify its effect on premature mortality. Data on ambient fine particulate matter (PM2.5) was obtained from the National Aeronautics and Space Administration (NASA). Census data was used to calculate rates of within-country migration at the district level. We calculated differences in PM2.5 exposure between “current” (2016–2017) and “origin” (2012) districts for each migration patterns. Using an exposure-response relationship for PM2.5 extracted from a meta-analysis, and mortality rates from the Peruvian Ministry of Health, we quantified premature mortality attributable to each migration pattern. Changes in outdoor PM2.5 exposure were observed between 2012 and 2016 with highest levels of PM2.5 in the Department of Lima. A strong spatial autocorrelation of outdoor PM2.5 values (Moran’s I = 0.847, p-value=0.001) was observed. In Greater Lima, rural-to-urban and urban-to-urban migrants experienced 10-fold increases in outdoor PM2.5 exposure in comparison with non-migrants. Changes in outdoor PM2.5 exposure due to migration drove 137.1 (95%CI: 93.2, 179.4) premature deaths related to air pollution, with rural-urban producing the highest risk of mortality from exposure to higher levels of ambient air pollution. Our results demonstrate that the rural-urban and urban-urban migrant groups have higher rates of air pollution-related deaths. © 2020, The Author(s).Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengNature ResearchScientific Reportsinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-sa/3.0/Transients and MigrantsAir Pollution-1Humans-1Particulate Matter-1Peru-1http://purl.org/pe-repo/ocde/ford#1.05.09-1Revealing the air pollution burden associated with internal Migration in Peruinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTECORIGINALRevealing the air pollution - s41598-020-64043-y.pdfRevealing the air pollution - s41598-020-64043-y.pdfapplication/pdf2024277https://repositorio.concytec.gob.pe/bitstreams/554cbabb-0f14-49a2-b3a2-7aa806da24cb/download99bc40207d9309bde887a0702fea06bfMD51TEXTRevealing the air pollution - s41598-020-64043-y.pdf.txtRevealing the air pollution - s41598-020-64043-y.pdf.txtExtracted texttext/plain57989https://repositorio.concytec.gob.pe/bitstreams/d2a63880-1a6b-40bb-be4b-333a51267807/download3a3137ab8c1d827765f6f2eb35fcfe26MD52THUMBNAILRevealing the air pollution - s41598-020-64043-y.pdf.jpgRevealing the air pollution - s41598-020-64043-y.pdf.jpgGenerated Thumbnailimage/jpeg5952https://repositorio.concytec.gob.pe/bitstreams/fbfd3e47-f3a2-4ad3-ba4c-1751909224d6/download21db8096781a817272bf3ba17159313bMD5320.500.12390/2455oai:repositorio.concytec.gob.pe:20.500.12390/24552025-01-19 22:00:35.311https://creativecommons.org/licenses/by-sa/3.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessopen accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="77d881fd-d595-4b7a-8b42-9e3026cf1601"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Revealing the air pollution burden associated with internal Migration in Peru</Title> <PublishedIn> <Publication> <Title>Scientific Reports</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1038/s41598-020-64043-y</DOI> <SCP-Number>2-s2.0-85083972607</SCP-Number> <Authors> <Author> <DisplayName>Carrasco-Escobar G.</DisplayName> <Person id="rp01113" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Schwarz L.</DisplayName> <Person id="rp06212" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Miranda J.J.</DisplayName> <Person id="rp00670" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Benmarhnia T.</DisplayName> <Person id="rp06211" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Nature Research</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-sa/3.0/</License> <Keyword>Transients and Migrants</Keyword> <Keyword>Air Pollution</Keyword> <Keyword>Humans</Keyword> <Keyword>Particulate Matter</Keyword> <Keyword>Peru</Keyword> <Abstract>This study aims to quantify changes in outdoor (ambient) air pollution exposure from different migration patterns within Peru and quantify its effect on premature mortality. Data on ambient fine particulate matter (PM2.5) was obtained from the National Aeronautics and Space Administration (NASA). Census data was used to calculate rates of within-country migration at the district level. We calculated differences in PM2.5 exposure between “current” (2016–2017) and “origin” (2012) districts for each migration patterns. Using an exposure-response relationship for PM2.5 extracted from a meta-analysis, and mortality rates from the Peruvian Ministry of Health, we quantified premature mortality attributable to each migration pattern. Changes in outdoor PM2.5 exposure were observed between 2012 and 2016 with highest levels of PM2.5 in the Department of Lima. A strong spatial autocorrelation of outdoor PM2.5 values (Moran’s I = 0.847, p-value=0.001) was observed. In Greater Lima, rural-to-urban and urban-to-urban migrants experienced 10-fold increases in outdoor PM2.5 exposure in comparison with non-migrants. Changes in outdoor PM2.5 exposure due to migration drove 137.1 (95%CI: 93.2, 179.4) premature deaths related to air pollution, with rural-urban producing the highest risk of mortality from exposure to higher levels of ambient air pollution. Our results demonstrate that the rural-urban and urban-urban migrant groups have higher rates of air pollution-related deaths. © 2020, The Author(s).</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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