[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, Sanja Potgieter-Vermaak, Sandra Medeiros, Luiz Vitor da Silva, Danielli Ventura, Carlos Yamamoto, Ricardo Godoi

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

Funders

Related Links

Software
https://github.com/jessicajcss/source-specific_healthrisks
is related to this dataset

Licence