Geospatial Data Aggregation Methods for Novel Geographies: Validating Congressional District Life Expectancy Estimates

This validation contributes to our understanding of geospatial aggregation methods for novel geographies including congressional districts. Health outcome data aggregated to the congressional district geography can support congressional policymaking aimed at improving population health outcomes.

Authors

Publication Details

Journal
Epidemiology
Published
2024-09-27
DOI
https://doi.org/10.1097/ede.0000000000001797
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.53

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article

Geospatial Data Aggregation Methods for Novel Geographies: Validating Congressional District Life Expectancy Estimates

Stephanie M. Hernandez, Usama Bilal, Alina Schnake‐Mahl, Giancarlo Anfuso
1 citations
Epidemiology
Health disparities and outcomes
0.53
article

Geospatial Data Aggregation Methods for Novel Geographies: Validating Congressional District Life Expectancy Estimates

Stephanie M. Hernandez, Usama Bilal, Alina Schnake‐Mahl, Giancarlo Anfuso
article en
1 citations

Abstract

This validation contributes to our understanding of geospatial aggregation methods for novel geographies including congressional districts. Health outcome data aggregated to the congressional district geography can support congressional policymaking aimed at improving population health outcomes.

EpidemiologyVol. 36(1)
Pennsylvania Department of Health, National Institutes of Health
Openalex Percentile: Top 30%
Health disparities and outcomes
0.53
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