[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.
Files
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
Funding
National Council for Scientific and Technological Development
Finance Code 001