| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Roux, Emmanuel | - |
| dc.contributor.author | Ignotti, Eliane | - |
| dc.contributor.author | Bègue, Nelson | - |
| dc.contributor.author | Bencherif, Hassan | - |
| dc.contributor.author | Catry, Thibault | - |
| dc.contributor.author | Dessay, Nadine | - |
| dc.contributor.author | Gracie, Renata | - |
| dc.contributor.author | Gurgel, Helen da Costa | - |
| dc.contributor.author | Hacon, Sandra de Sousa | - |
| dc.contributor.author | Magalhães, Mônica de A. F. M. | - |
| dc.contributor.author | Monteiro, Antônio Miguel Vieira | - |
| dc.contributor.author | Revillion, Christophe | - |
| dc.contributor.author | Villela, Daniel Antunes Maciel | - |
| dc.contributor.author | Xavier, Diego | - |
| dc.contributor.author | Barcellos, Christovam | - |
| dc.date.accessioned | 2021-12-04T18:42:46Z | - |
| dc.date.available | 2021-12-04T18:42:46Z | - |
| dc.date.issued | 2020-12-12 | - |
| dc.identifier.citation | ROUX, Emmanuel et al. Toward an early warning system for health issues related to particulate matter exposure in Brazil: the feasibility of using global PM2.5 concentration forecast products. Remote Sensing, v. 12, n. 24, 4074, 2020. DOI: https://doi.org/10.3390/rs12244074. Disponível em: https://www.mdpi.com/2072-4292/12/24/4074. Acesso em: 4 dez. 2021. | pt_BR |
| dc.identifier.uri | https://repositorio.unb.br/handle/10482/42524 | - |
| dc.language.iso | Inglês | pt_BR |
| dc.publisher | MDPI | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | Toward an early warning system for health issues related to particulate matter exposure in Brazil : the feasibility of using global PM2.5 concentration forecast products | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Previsões de material particulado - Brasil | pt_BR |
| dc.subject.keyword | Doenças respiratórias agudas graves | pt_BR |
| dc.subject.keyword | Sistema de alerta antecipado | pt_BR |
| dc.subject.keyword | Sensoriamento remoto | pt_BR |
| dc.rights.license | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | pt_BR |
| dc.identifier.doi | https://doi.org/10.3390/rs12244074 | pt_BR |
| dc.description.abstract1 | : PM2.5 severely affects human health. Remotely sensed (RS) data can be used to estimate PM2.5
concentrations and population exposure, and therefore to explain acute respiratory disorders. However,
available global PM2.5 concentration forecast products derived from models assimilating RS data have
not yet been exploited to generate early alerts for respiratory problems in Brazil. We investigated the
feasibility of building such an early warning system. For this, PM2.5 concentrations on a 4-day horizon
forecast were provided by the Copernicus Atmosphere Monitoring Service (CAMS) and compared with
the number of severe acute respiratory disease (SARD) cases. Confounding effects of the meteorological
conditions were considered by selecting the best linear regression models in terms of Akaike Information
Criterion (AIC), with meteorological features and their two-way interactions as explanatory variables and
PM2.5 concentrations and SARD cases, taken separately, as response variables. Pearson and Spearman
correlation coefficients were then computed between the residuals of the models for PM2.5 concentration and SARD cases. The results show a clear tendency to positive correlations between PM2.5 and SARD in
all regions of Brazil but the South one, with Spearman’s correlation coefficient reaching 0.52 (p < 0.01).
Positive significant correlations were also found in the South region by previously correcting the
effects of viral infections on the SARD case dynamics. The possibility of using CAMS global PM2.5
concentration forecast products to build an early warning system for pollution-related effects on human
health in Brazil was therefore established. Further investigations should be performed to determine
alert threshold(s) and possibly build combined risk indicators involving other risk factors for human
respiratory diseases. This is of particular interest in Brazil, where the COVID-19 pandemic and biomass
burning are occurring concomitantly, to help minimize the effects of PM emissions and implement
mitigation actions within populations. | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0003-2266-8207 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-9743-1856 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0003-1815-0667 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0001-9514-1751 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0003-0526-3531 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0003-0225-3696 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-4250-6742 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-8222-0992 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-6595-8274 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-6595-8274 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-3896-2083 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0001-8371-2959 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0001-5259-7732 | pt_BR |
| dc.identifier.orcid | https://orcid.org/ 0000-0002-1161-2753 | pt_BR |
| Aparece nas coleções: | Artigos publicados em periódicos e afins
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