A Study of effect of decreasing air-pollution on lung cancer cases and their conditions
Principal Investigator
Name
Satish Chandra
Degrees
PhD
Institution
Jaypee Institute of Information Technology
Position Title
Associate Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-364
Initial CDAS Request Approval
May 16, 2018
Title
A Study of effect of decreasing air-pollution on lung cancer cases and their conditions
Summary
It is evident from EPA, US air quality trends [1] that concentration of pollutants (NO2, SO2, O3, PM2.5, PM10) is significantly decreasing from 1980 to 2016 due to stringent air-quality laws and arduous human efforts. We plan to study the aftermath of decreasing air-pollution on lung cancer cases. This sedulous study will endow us to find a correlation between lung-cancer cases and essentially, we plan to employ a multi-variate CNN - RNN based model to analyze the variation in severity of cases in PLCO study with a decrease in Air-Pollution. We would be benefited by the fact that PLCO collected information on recent addresses for around 83,000 participants in 2012 and these addresses were geocoded and linked to the 2000 and 2010 census data [5] (Jason Wong’s Project).
As we discussed with PLCO earlier(Jerome Mabie), above discussed data is not available at this time while we would like to work by focusing on locations of study-centers of PLCO study, we would like to work on the assumption that patient/participants living nearby a study-center will visit the same center for randomization.
Ground-level ozone (O3) poses serious respiratory threats [2], and one of the precursors in O3-formation is NO2 that is predominantly an automobile exhaust [3]. A higher number of vehicles results in higher NO2-emission that in-turn acts as a precursor in O3-formation. Additionally, we plan to detect the association between the burgeoning presence of vehicles in an area and its effect on reported lung cancer cases. For this purpose, we ostensibly plan to use Monthly Traffic Volume Trends Dataset [4]. Hence, We propose to derive associations between decreasing pollution trends with the condition of lung-cancer cases and to detect if increasing vehicular presence or random spikes in pollution in an area can cause an increase in mortality of patients suffering from lung cancer.
References
1. United States Environmental Protection Agency, EPA Air Quality Trends, Available at https://www.epa.gov/air-trends
2. U.S. Environmental Protection Agency, Integrated Science Assessment for Ozone and Related Photochemical Oxidants, 2013. EPA/600/R-10/076F.
3. World Bank, Site Resouces, http://siteresources.worldbank.org/INTURBANTRANSPORT/Resources/b02airpolution.pdf
Federal Highway Administration, Monthly Traffic Volume Trends Dataset, Available at https://catalog.data.gov/dataset/monthly-traffic-volume-trends-february-2012
4. Federal Highway Administration, Monthly Traffic Volume Trends Dataset, Available at https://catalog.data.gov/dataset/monthly-traffic-volume-trends-february-2012
5. Jason Wong, https://biometry.nci.nih.gov/cdas/approved-projects/1502/
As we discussed with PLCO earlier(Jerome Mabie), above discussed data is not available at this time while we would like to work by focusing on locations of study-centers of PLCO study, we would like to work on the assumption that patient/participants living nearby a study-center will visit the same center for randomization.
Ground-level ozone (O3) poses serious respiratory threats [2], and one of the precursors in O3-formation is NO2 that is predominantly an automobile exhaust [3]. A higher number of vehicles results in higher NO2-emission that in-turn acts as a precursor in O3-formation. Additionally, we plan to detect the association between the burgeoning presence of vehicles in an area and its effect on reported lung cancer cases. For this purpose, we ostensibly plan to use Monthly Traffic Volume Trends Dataset [4]. Hence, We propose to derive associations between decreasing pollution trends with the condition of lung-cancer cases and to detect if increasing vehicular presence or random spikes in pollution in an area can cause an increase in mortality of patients suffering from lung cancer.
References
1. United States Environmental Protection Agency, EPA Air Quality Trends, Available at https://www.epa.gov/air-trends
2. U.S. Environmental Protection Agency, Integrated Science Assessment for Ozone and Related Photochemical Oxidants, 2013. EPA/600/R-10/076F.
3. World Bank, Site Resouces, http://siteresources.worldbank.org/INTURBANTRANSPORT/Resources/b02airpolution.pdf
Federal Highway Administration, Monthly Traffic Volume Trends Dataset, Available at https://catalog.data.gov/dataset/monthly-traffic-volume-trends-february-2012
4. Federal Highway Administration, Monthly Traffic Volume Trends Dataset, Available at https://catalog.data.gov/dataset/monthly-traffic-volume-trends-february-2012
5. Jason Wong, https://biometry.nci.nih.gov/cdas/approved-projects/1502/
Aims
To determine the association between decreasing air-quality trends and its effect on the condition of lung-cancer patients.
To determine the variation in severity of lung-cancer cases with variation in air-quality.
To determine the effect of the high-vehicular presence or random pollution spikes with lung-cancer identification or mortality.
Collaborators
Simrat Kaur
Harshit Gujral