[DATASET] A fingerprint of source-specific health risk of PM2.5-bound components over a coastal industrial city
Published: 11 July 2024| Version 1 | DOI: 10.17632/98gg4jzbkb.1
Contributors:
Jéssica Santos Silva, , Sandra Medeiros, Luiz Vitor da Silva, Danielli Ventura, , Description
This study employs a novel integrated approach whereby we combine receptor-based source apportionment with conditional logistic regression models for the first time. This approach enabled us to comprehensively examine the association between source-specific PM2.5-bound species and cardiorespiratory disease hospital admissions in Joinville, a coastal industrial city in Brazil. The data shared here has been employed in this analysis. The code used can be found at: DOI: 10.5281/zenodo.12707700 This work is currently under evaluation for publication.
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Steps to reproduce
The data shared here has been employed using the code shared at: DOI: 10.5281/zenodo.12707700
Institutions
Manchester Metropolitan University, University of the Witwatersrand, Universidade da Regiao de Joinville, Universidade Federal do Parana
Categories
Air Pollution, Air Pollution Health Impact, Air Pollution Emission Source