Research Article
The Impact of PM 2.5 on Lung and Bronchial Cancers: Regression and Time Series Analysis in the U.S. from 1999 to 2014
@INPROCEEDINGS{10.4108/eai.21-6-2018.2276588, author={Jing Kersey and Jingjing Yin and Atin Adhikari and Xiaolu Zhou and Weitian Tong and Lixin Li}, title={The Impact of PM 2.5 on Lung and Bronchial Cancers: Regression and Time Series Analysis in the U.S. from 1999 to 2014}, proceedings={Workshop on Environmental Health and Air Pollution}, publisher={EAI}, proceedings_a={IWEHAP}, year={2018}, month={9}, keywords={pm 25 lung and bronchial cancers spatiotemporal interpolation time series analysis regression analysis}, doi={10.4108/eai.21-6-2018.2276588} }- Jing Kersey
Jingjing Yin
Atin Adhikari
Xiaolu Zhou
Weitian Tong
Lixin Li
Year: 2018
The Impact of PM 2.5 on Lung and Bronchial Cancers: Regression and Time Series Analysis in the U.S. from 1999 to 2014
IWEHAP
EAI
DOI: 10.4108/eai.21-6-2018.2276588
Abstract
Particulate matter 2.5 (PM 2.5) are fine particles can penetrate deeply into our lungs and other airways areas because of their small sizes. Sometimes these fine particles may even enter the bloodstreams. Only a few researches studied the relation between PM 2.5 and lung cancers. In this paper, innovative machine learning and spatiotemporal interpolation methods were used to compute historical PM 2.5 interpolation data in the contiguous United States. Time series analysis (including seasonal ARIMA models, lagged regressions, generalized estimating equations) is then applied to lung and bronchial cancers and PM 2.5 data. Based on our current data covering a 15-year span (1999-2014), PM 2.5 doesn’t have a strong effect on lung and bronchial cancer rates in the United States at either the national or state level. However, the most urban state, New Jersey, and highest PM 2.5 state, California, have a relatively greater tendency to have significant PM 2.5 effect among all contiguous U.S. states.