TY - GEN
T1 - The impact of PM2.5 on lung and bronchial cancers
T2 - 11th EAI International Conference on Mobile Multimedia Communications, MOBIMEDIA 2018
AU - Kersey, Jing
AU - Yin, Jingjing
AU - Adhikari, Atin
AU - Zhou, Xiaolu
AU - Tong, Weitian
AU - Li, Lixin
N1 - Publisher Copyright:
© 2018 ACM.
PY - 2018/9/12
Y1 - 2018/9/12
N2 - Particulate matter 2.5 (PM2.5) 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 PM2.5 and lung cancers. In this paper, innovative machine learning and spatiotemporal interpolation methods were used to compute historical PM2.5 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 PM2.5 data. Based on our current data covering a 15-year span (1999-2014), PM2.5 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 PM2.5 state, California, have a relatively greater tendency to have significant PM2.5 effect among all contiguous U.S. states.
AB - Particulate matter 2.5 (PM2.5) 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 PM2.5 and lung cancers. In this paper, innovative machine learning and spatiotemporal interpolation methods were used to compute historical PM2.5 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 PM2.5 data. Based on our current data covering a 15-year span (1999-2014), PM2.5 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 PM2.5 state, California, have a relatively greater tendency to have significant PM2.5 effect among all contiguous U.S. states.
KW - Lung and bronchial cancers
KW - PM2.5
KW - Regression analysis
KW - Spatiotemporal interpolation
KW - Time series analysis
UR - http://www.scopus.com/inward/record.url?scp=85061527486&partnerID=8YFLogxK
U2 - 10.4108/eai.21-6-2018.2276588
DO - 10.4108/eai.21-6-2018.2276588
M3 - Conference article
AN - SCOPUS:85061527486
T3 - International Conference on Mobile Multimedia Communications (MobiMedia)
BT - MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications
A2 - Danda, Rawat B.
A2 - Li, Wenjia
A2 - Wu, Shaoen
A2 - Wu, Ju
A2 - Yang, Qing
A2 - Liu, Guozhu
PB - ICST
Y2 - 21 June 2018 through 23 June 2018
ER -
