j40-cejst-2/data/data-pipeline/data_pipeline/etl/sources/maryland_ejscreen
Travis Newby 6f39033dde
Add ability to cache ETL data sources (#2169)
* Add a rough prototype allowing a developer to pre-download data sources for all ETLs

* Update code to be more production-ish

* Move fetch to Extract part of ETL
* Create a downloader to house all downloading operations
* Remove unnecessary "name" in data source

* Format source files with black

* Fix issues from pylint and get the tests working with the new folder structure

* Clean up files with black

* Fix unzip test

* Add caching notes to README

* Fix tests (linting and case sensitivity bug)

* Address PR comments and add API keys for census where missing

* Merging comparator changes from main into this branch for the sake of the PR

* Add note on using cache (-u) during pipeline
2023-03-03 12:26:24 -06:00
..
__init__.py Maryland EJSCREEN Addition to comparison tool (#1143) 2022-01-14 13:26:48 -05:00
etl.py Add ability to cache ETL data sources (#2169) 2023-03-03 12:26:24 -06:00
README.md Backend release branch to main (#1822) 2022-12-01 21:50:54 -05:00

Maryland EJSCREEN

The Maryland EJSCREEN application and tool can be found here.

Methodology Summary

According to the documentation:

There exist two data categories: Population Burden and Population Characteristics.

There are two indicators within Population Burden: Exposure, and Socioeconomic. Within Population Characteristics, there exist two indicators: Sensitive, Environmental Effects. Each respective indicator contains several relevant covariates, and an averaged score.

The two "Pollution Burden" average scores are then averaged together and the result is multiplied by the average of the "Population Characteristics" categories to get the total EJ Score for each tract.

For each indicator, the percentile is given. For example, the indicator value for "Asthma Emergency Discharges" with 0.9 is therefore in the 90th percentile, which means only 10% of tracts in Maryland have higher values. EJ Scores near 1 represent areas of the greatest environmental justice concern.

A study of Bladensburg, MD - located in Prince Georges County - demonstrated the application of the MD EJSCREEN (Driver et al., 2019). According to the study, The Bladensburg population is composed of 20.1% of the community members living below the federal poverty line. Through an analysis, leveraging the Maryland EJSCREEN, Bladensburg with MD EJSCREEN, the researchers found that Bladensburg has an EJ score higher than 99% of the census tracts in Prince Georges County, indicating a higher prevalence of environmental hazards in the region.

Furthermore, it was determined that Bladensburg residents are at a higher risk of developing cancer due to air pollution than 90100% of the census tracts in the state or county.

Source:

Driver, A.; Mehdizadeh, C.; Bara-Garcia, S.; Bodenreider, C.; Lewis, J.; Wilson, S. Utilization of the Maryland Environmental Justice Screening Tool: A Bladensburg, Maryland Case Study. Int. J. Environ. Res. Public Health 2019, 16, 348.