The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014

Jing Kersey; Jingjing Yin; Atin Adhikari; Xiaolu Zhou; Weitian Tong; Lixin Li

doi:10.4108/eai.21-6-2018.2276588

The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014

Jing Kersey, Jingjing Yin, Atin Adhikari, Xiaolu Zhou, Weitian Tong, Lixin Li

Georgia Southern University

Research output: Contribution to book or proceeding › Conference article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications
Editors	Rawat B. Danda, Wenjia Li, Shaoen Wu, Ju Wu, Qing Yang, Guozhu Liu
Publisher	ICST
ISBN (Electronic)	9781631901645
ISBN (Print)	9781631901645
DOIs	https://doi.org/10.4108/eai.21-6-2018.2276588 https://doi.org/10.4108/eai.21-6-2018.2276588
State	Published - Sep 12 2018
Event	EAI International Conference on Mobile Multimedia Communications - Qingdao, China Duration: Jun 21 2018 → Jun 23 2018 Conference number: 11 https://dl.acm.org/doi/proceedings/10.5555/3290227

Publication series

Name	International Conference on Mobile Multimedia Communications (MobiMedia)
Volume	2018-June
ISSN (Electronic)	2413-094X

Conference

Conference	EAI International Conference on Mobile Multimedia Communications
Abbreviated title	EAI MOBIMEDIA
Country/Territory	China
City	Qingdao
Period	06/21/18 → 06/23/18
Internet address	https://dl.acm.org/doi/proceedings/10.5555/3290227

Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Emergency Medicine
Media Technology
Modeling and Simulation

Disciplines

Biostatistics
Environmental Public Health
Epidemiology
Public Health

Keywords

Lung and bronchial cancers
PM2.5
Regression analysis
Spatiotemporal interpolation
Time series analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4108/eai.21-6-2018.2276588
10.4108/eai.21-6-2018.2276588License: Unspecified

https://eudl.eu/doi/10.4108/eai.21-6-2018.2276588

Cite this

Kersey, J., Yin, J., Adhikari, A., Zhou, X., Tong, W., & Li, L. (2018). The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014. In R. B. Danda, W. Li, S. Wu, J. Wu, Q. Yang, & G. Liu (Eds.), MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications (International Conference on Mobile Multimedia Communications (MobiMedia); Vol. 2018-June). ICST. https://doi.org/10.4108/eai.21-6-2018.2276588, https://doi.org/10.4108/eai.21-6-2018.2276588

Kersey, Jing ; Yin, Jingjing ; Adhikari, Atin et al. / The impact of PM2.5 on lung and bronchial cancers : Regression and time series analysis in the U.S. From 1999 to 2014. MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications. editor / Rawat B. Danda ; Wenjia Li ; Shaoen Wu ; Ju Wu ; Qing Yang ; Guozhu Liu. ICST, 2018. (International Conference on Mobile Multimedia Communications (MobiMedia)).

@inproceedings{26c4a585894840bc9bcd125fdb0d6dd5,

title = "The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014",

abstract = "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{\textquoteright}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.",

keywords = "Lung and bronchial cancers, PM2.5, Regression analysis, Spatiotemporal interpolation, Time series analysis",

author = "Jing Kersey and Jingjing Yin and Atin Adhikari and Xiaolu Zhou and Weitian Tong and Lixin Li",

note = "Publisher Copyright: {\textcopyright} 2018 ACM.; EAI International Conference on Mobile Multimedia Communications ; Conference date: 21-06-2018 Through 23-06-2018",

year = "2018",

month = sep,

day = "12",

doi = "10.4108/eai.21-6-2018.2276588",

language = "English",

isbn = "9781631901645",

series = "International Conference on Mobile Multimedia Communications (MobiMedia)",

publisher = "ICST",

editor = "Danda, {Rawat B.} and Wenjia Li and Shaoen Wu and Ju Wu and Qing Yang and Guozhu Liu",

booktitle = "MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications",

url = "https://dl.acm.org/doi/proceedings/10.5555/3290227",

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Kersey, J , Yin, J , Adhikari, A, Zhou, X, Tong, W & Li, L 2018, The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014. in RB Danda, W Li, S Wu, J Wu, Q Yang & G Liu (eds), MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications. International Conference on Mobile Multimedia Communications (MobiMedia), vol. 2018-June, ICST, EAI International Conference on Mobile Multimedia Communications, Qingdao, China, 06/21/18. https://doi.org/10.4108/eai.21-6-2018.2276588, https://doi.org/10.4108/eai.21-6-2018.2276588

The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014. / Kersey, Jing ; Yin, Jingjing ; Adhikari, Atin et al.
MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications. ed. / Rawat B. Danda; Wenjia Li; Shaoen Wu; Ju Wu; Qing Yang; Guozhu Liu. ICST, 2018. (International Conference on Mobile Multimedia Communications (MobiMedia); Vol. 2018-June).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - The impact of PM2.5 on lung and bronchial cancers

T2 - EAI International Conference on Mobile Multimedia Communications

AU - Kersey, Jing

AU - Yin, Jingjing

AU - Adhikari, Atin

AU - Zhou, Xiaolu

AU - Tong, Weitian

AU - Li, Lixin

N1 - Conference code: 11

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 - https://digitalcommons.georgiasouthern.edu/bee-facpubs/39

UR - https://eudl.eu/doi/10.4108/eai.21-6-2018.2276588

UR - https://www.mendeley.com/catalogue/aacd9faf-de7b-331e-8c80-c8684e3e63a2/

U2 - 10.4108/eai.21-6-2018.2276588

DO - 10.4108/eai.21-6-2018.2276588

M3 - Conference article

AN - SCOPUS:85061527486

SN - 9781631901645

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 -

Kersey J , Yin J , Adhikari A, Zhou X, Tong W , Li L. The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014. In Danda RB, Li W, Wu S, Wu J, Yang Q, Liu G, editors, MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications. ICST. 2018. (International Conference on Mobile Multimedia Communications (MobiMedia)). doi: 10.4108/eai.21-6-2018.2276588, 10.4108/eai.21-6-2018.2276588

The impact of PM2.5 on lung and bronchial cancers: Regression and time series analysis in the U.S. From 1999 to 2014

Abstract

Publication series

Conference

Scopus Subject Areas

Disciplines

Keywords

UN SDGs

Access to Document

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