Construction of polluted aerosol in accumulation that affects the incidence of lung cancer

Abstract

Background: This model demonstrated the correlation between lung cancer incidences and the parts of ambient air pollution according to the National Aeronautics and Space Administration (NASA)'s high resolution technology satellites.

Methods: Chemical type of aerosols was investigated by the Aerosol Diagnostics Model such as black carbon, mineral dust, organic carbon, sea-salt and SO4. The model investigated associations between the six year accumulation of each aerosol and lung cancer incidence by Bayesian hierarchical spatio-temporal model. Which also represented integrated geophysical parameters.

Results: In analyses of accumulated chemical aerosol component from 2010 - 2016, the incidence rate ratio (IRR) of patients in 2017 were estimated. We observed a significant increasing risk for organic carbon exposure (IRR 1.021, 95%CI 1.020-1.022), SO₄, (IRR 1.026, 95% CI 1.025-1.028) and dust, (IRR 1.061, 95% CI 1.058-1.064). There was also suggestion of an increased risk with, every 1 ug/m³ increase in organic carbon compound is associated with 21% increased risk of lung cancer, whereas a 26% excess risk of cancer per 1 ug/m³ increase in mean SO₄ and 61% increased risk of lung cancer for dust levels. The other variables were the negative IRR which did not increase the risk of the exposed group.

Conclusion: With our results, this process can determine that organic carbon, SO₄ and dust was significantly associated with the elevated risk of lung cancer.

Keywords: Air pollution; Bayesian model; Envionmental risk assessment; Environmental health; Environmental science; Environmental toxicology; Lung cancer; MERRA-2; Oncology; Polluted aerosol components; Public health.

Figure 1

Spatial distribution of estimated comparison between lung cancer incidence and more than 5 years cumulative aerosol substances exposure.