Geographical Analysis of Lung Cancer Mortality Rate and PM2.5 Using Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth - Journal of Geoscience and Environment Protection

GEP > Vol.5 No.6, June 2017

Journal of Geoscience and Environment Protection

Volume 5, Issue 6 (June 2017)

ISSN Print: 2327-4336 ISSN Online: 2327-4344

Google-based Impact Factor: 1.37 Citations

Geographical Analysis of Lung Cancer Mortality Rate and PM2.5 Using Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth ()

HTML XML

Download as PDF (Size: 798KB) PP. 183-197

DOI: 10.4236/gep.2017.56017 1,464 Downloads 2,518 Views Citations

Author(s)

Zhiyong Hu^*, Ethan Baker

Affiliation(s)

Department of Earth & Environmental Studies, University of West Florida, Pensacola, USA.

ABSTRACT

Exposure to particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5) may increase risk of lung cancer. The repetitive and broad-area coverage of satellites may allow atmospheric remote sensing to offer a unique opportunity to monitor air quality and help fill air pollution data gaps that hinder efforts to study air pollution and protect public health. This geographical study explores if there is an association between PM2.5 and lung cancer mortality rate in the conterminous USA. Lung cancer (ICD-10 codes C34- C34) death count and population at risk by county were extracted for the period from 2001 to 2010 from the U.S. CDC WONDER online database. The 2001-2010 Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth dataset was used to calculate a 10 year average PM2.5 pollution. Exploratory spatial data analyses, spatial regression (a spatial lag and a spatial error model), and spatially extended Bayesian Monte Carlo Markov Chain simulation found that there is a significant positive association between lung cancer mortality rate and PM2.5. The association would justify the need of further toxicological investigation of the biological mechanism of the adverse effect of the PM2.5 pollution on lung cancer. The Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth dataset provides a continuous surface of concentrations of PM2.5 and is a useful data source for environmental health research.

KEYWORDS

Lung Cancer, PM2.5, Remote Sensing, GIS, Exploratory Spatial Data Analysis, Spatial Regression, Bayesian MCMC Simulation

Share and Cite:

Hu, Z. and Baker, E. (2017) Geographical Analysis of Lung Cancer Mortality Rate and PM2.5 Using Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth. Journal of Geoscience and Environment Protection, 5, 183-197. doi: 10.4236/gep.2017.56017.

Cited by

[1]	Stringency of environmental policy in China: When pollution drives bribery
	Economic Modelling, 2022

[2]	Conceptual Model of Ecosystem Service Flows from Carbon Dioxide to Blue Carbon in Coastal Wetlands: An Empirical Study Based on Yancheng, China
	2021

[3]	Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA
	Scientific Reports, 2021

[4]	A geographically weighted regression approach to investigate air pollution effect on lung cancer
	2019

[5]	Spatial Analysis of Lung Cancer Mortality in the American West to Improve Allocation of Medical Resources
	2019

[6]	A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal
	2019

[7]	A study of AOD based PM2. 5 variations in relation to ARI disease occurrence in an urban area.
	2018

[8]	A geographically weighted regression approach to investigate air pollution effect on lung cancer: a case study
	2018

[9]	Spatial epidemiology of cancer: data types, spatial aggregation and geographical patterns at mainland Portugal
	2018

[10]	中原城市群城市化程度对气溶胶时空分异的影响
	2017

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies