Information entropy tradeoffs for efficient uncertainty reduction in estimates of air pollution mortality.

Alifa, Mariana; Castruccio, Stefano; Bolster, Diogo; Bravo, Mercedes; Crippa, Paola

Alifa, Mariana; Castruccio, Stefano; Bolster, Diogo; Bravo, Mercedes; Crippa, Paola.

Afiliación

Alifa M; Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, USA.
Castruccio S; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA.
Bolster D; Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, USA.
Bravo M; Global Health Institute, Duke University, Durham, NC, USA; Children's Environmental Health Initiative, University of Notre Dame, South Bend, IN, USA.
Crippa P; Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, USA. Electronic address: pcrippa@nd.edu.

Environ Res ; 212(Pt D): 113587, 2022 09.

Article en En | MEDLINE | ID: mdl-35654155

Asunto(s)

Contaminantes Atmosféricos; Contaminación del Aire; Contaminantes Atmosféricos/análisis; Contaminantes Atmosféricos/toxicidad; Entropía; Humanos; Material Particulado/análisis; Incertidumbre

Palabras clave

Air pollution; Health risk assessment; Information entropy; Mortality; PM(2.5); Uncertainty quantification

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 15_ODS3_global_health_risks / 2_ODS3 Problema de salud: 15_technological_hazards / 2_quimicos_contaminacion Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Environ Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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