A time-series analysis of relevant pollutants in Hamilton (Ontario) and induced mortality
Bachelor of Health Sciences, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Published
- Accepted
- Subject Areas
- Environmental Contamination and Remediation, Environmental Sciences, Epidemiology
- Keywords
- Time-series, carbon dioxide, carbon monoxide, sulfur dioxide, ozone, particulate matter
- Copyright
- © 2016 Zeng et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. A time-series analysis of relevant pollutants in Hamilton (Ontario) and induced mortality. PeerJ Preprints 4:e1904v1 https://doi.org/10.7287/peerj.preprints.1904v1
Abstract
The relationship between air pollution and public health has gained increasing attention in the past decade. Many time-series analyses have been conducted worldwide, including in all the major cities of the United States, Europe, and Asia. However, the most current time-series analysis study of Ontario, Canada dates back to 2012 and includes only a single city, calling the need of a more recent study at a provincial scale. As a result, we propose to conduct time-series analyses of major Ontario cities and then use a hierarchical model to pool the results and construct a dose-response relationship and generate a predictive regression.
Author Comment
This is a preprint submission to PeerJ Preprints.