These maps were developed using ArcGIS in order to visually analyze the geospatial relationship between atmospheric pollution and lung epidemiology.
Figure 2.1. PM2.5 2018 averages from 53 sites compared to lung and bronchus cancer cases per 100,000.
There are generally higher lung and bronchus cancer cases in counties with significant amounts of PM2.5.
Figure 2.2. The total population in Texas counties and ethnic distribution among metropolitan areas.
The most populated counties within the metropolitan areas are predominantly people of color.
Within the metropolitan bivariate maps, the relationship between ethnic population and cancer cases is displayed by each specific demographic. In summary, the White population is over-representing cancer rates per capita in almost every county while the remaining ethnicities are underrepresented. There are cases in which the variables are proportional such as the Hispanic population in Dallas-Fort Worth, therefore contradicting the expected trend.
Due to global events, collected air quality data for recent years is unreliable, thus our temporal focus has been limited to the year 2018. In addition to the lack of collective air quality data, the effects of the global pandemic, COVID-19, have greatly skewed the results of lung and bronchus cancer statistics. The most recent data for cancer statistics are listed in 2018 while a majority of PM2.5 data stations primarily stopped recording data during COVID-19.
The Texas Cancer Registry had lung cancer data from 2018; however, some counties were not properly represented since counties with less than 16 cancer cases were not recorded.