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Add NATA cancer risk and respiratory hazard to definition L (#1001)

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Lucas Merrill Brown 2021-12-07 12:45:45 -05:00 • committed by GitHub
commit 5706837956
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7 changed files with 41 additions and 7 deletions
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4
data/data-pipeline/data_pipeline/score/field_names.py
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@ -89,6 +89,7 @@ RMP_FIELD = "Proximity to Risk Management Plan (RMP) facilities"
TSDF_FIELD = "Proximity to TSDF sites"
NPL_FIELD = "Proximity to NPL sites"
AIR_TOXICS_CANCER_RISK_FIELD = "Air toxics cancer risk"
RESPIRATORY_HAZARD_FIELD = "Respiratory hazard index"
# Housing
HOUSING_BURDEN_FIELD = "Housing burden (percent)"
@ -104,7 +105,6 @@ DIABETES_FIELD = "Diagnosed diabetes among adults aged >=18 years"
ASTHMA_FIELD = "Current asthma among adults aged >=18 years"
HEART_DISEASE_FIELD = "Coronary heart disease among adults aged >=18 years"
LIFE_EXPECTANCY_FIELD = "Life expectancy (years)"
RESPITORY_HAZARD_FIELD = "Respiratory hazard index"
CANCER_FIELD = "Cancer (excluding skin cancer) among adults aged >=18 years"
HEALTH_INSURANCE_FIELD = (
"Current lack of health insurance among adults aged 18-64 years"
@ -260,6 +260,8 @@ IMPENETRABLE_SURFACES_LOW_INCOME_FIELD = (
RMP_LOW_INCOME_FIELD = f"At or above the {PERCENTILE}th percentile for proximity to RMP sites and is low income"
SUPERFUND_LOW_INCOME_FIELD = f"At or above the {PERCENTILE}th percentile for proximity to superfund sites and is low income"
HAZARDOUS_WASTE_LOW_INCOME_FIELD = f"At or above the {PERCENTILE}th percentile for proximity to hazardous waste facilities and is low income"
AIR_TOXICS_CANCER_RISK_LOW_INCOME_FIELD = f"At or above the {PERCENTILE}th percentile for air toxics cancer risk and is low income"
RESPIRATORY_HAZARD_LOW_INCOME_FIELD = f"At or above the {PERCENTILE}th percentile for respiratory hazard index and is low income"
# Critical Clean Water and Waste Infrastructure
WASTEWATER_DISCHARGE_LOW_INCOME_FIELD = f"At or above the {PERCENTILE}th percentile for wastewater discharge and is low income"

2
data/data-pipeline/data_pipeline/score/score_c.py
View file

@ -54,7 +54,7 @@ class ScoreC(Score):
[
field_names.AIR_TOXICS_CANCER_RISK_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX,
field_names.RESPITORY_HAZARD_FIELD
field_names.RESPIRATORY_HAZARD_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX,
field_names.DIESEL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
field_names.PM25_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,

2
data/data-pipeline/data_pipeline/score/score_f.py
View file

@ -36,7 +36,7 @@ class ScoreF(Score):
)
| (
self.df[
field_names.RESPITORY_HAZARD_FIELD
field_names.RESPIRATORY_HAZARD_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX
]
> 0.9

26
data/data-pipeline/data_pipeline/score/score_l.py
View file

@ -407,6 +407,8 @@ class ScoreL(Score):
field_names.RMP_LOW_INCOME_FIELD,
field_names.SUPERFUND_LOW_INCOME_FIELD,
field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD,
field_names.AIR_TOXICS_CANCER_RISK_LOW_INCOME_FIELD,
field_names.RESPIRATORY_HAZARD_LOW_INCOME_FIELD,
]
rmp_sites_threshold = (
@ -426,6 +428,22 @@ class ScoreL(Score):
>= self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
air_toxics_cancer_risk_threshold = (
self.df[
field_names.AIR_TOXICS_CANCER_RISK_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX
]
>= self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
respiratory_hazard_risk_threshold = (
self.df[
field_names.RESPIRATORY_HAZARD_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX
]
>= self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
# individual series-by-series
self.df[field_names.RMP_LOW_INCOME_FIELD] = (
rmp_sites_threshold & self.df[field_names.FPL_200_SERIES]
@ -436,6 +454,14 @@ class ScoreL(Score):
self.df[field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD] = (
tsdf_sites_threshold & self.df[field_names.FPL_200_SERIES]
)
self.df[field_names.AIR_TOXICS_CANCER_RISK_LOW_INCOME_FIELD] = (
air_toxics_cancer_risk_threshold
& self.df[field_names.FPL_200_SERIES]
)
self.df[field_names.RESPIRATORY_HAZARD_LOW_INCOME_FIELD] = (
respiratory_hazard_risk_threshold
& self.df[field_names.FPL_200_SERIES]
)
self._increment_total_eligibility_exceeded(
pollution_eligibility_columns