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Validation of a geospatial aggregation method for congressional districts and other US administrative geographies.
Spoer, Ben R; Chen, Alexander S; Lampe, Taylor M; Nelson, Isabel S; Vierse, Anne; Zazanis, Noah V; Kim, Byoungjun; Thorpe, Lorna E; Subramanian, Subu V; Gourevitch, Marc N.
Affiliation
  • Spoer BR; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Chen AS; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Lampe TM; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Nelson IS; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Vierse A; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Zazanis NV; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Kim B; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Thorpe LE; New York University Grossman School of Medicine, Department of Population Health, Division of Epidemiology, New York, NY, USA.
  • Subramanian SV; Harvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
  • Gourevitch MN; New York University Grossman School of Medicine, Department of Population Health, New York, NY, USA.
SSM Popul Health ; 24: 101511, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37711359

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: SSM Popul Health Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: SSM Popul Health Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom