Spatial Causal Inference for Wildland Fire Smoke Effects on Air Pollution and Health

  • Yang, Shu (Investigador principal)
  • Reich, Brian J. (CoPI)

Detalles del proyecto

Descripción

PROJECT NARRATIVE
Causal inference theory and methods are indispensable to biostatistics, but due to complications such as spatial
correlation and spillover effects, methods applicable to spatial data are limited. In this project, we develop new
causal methods to allow researchers to extract knowledge from observational spatial data. The methods are
developed in the context of two large epidemiological studies of the effects of wildland fire smoke and preventative
measures on air pollution exposure and respiratory health outcomes.
EstadoFinalizado
Fecha de inicio/Fecha fin1/4/2031/1/23

Financiación

  • National Institute of Environmental Health Sciences: USD289,186.00
  • National Institute of Environmental Health Sciences: USD285,927.00

!!!ASJC Scopus Subject Areas

  • Contaminación
  • Estadística y probabilidad
  • Neumología

Huella digital

Explore los temas de investigación que se abordan en este proyecto. Estas etiquetas se generan con base en las adjudicaciones/concesiones subyacentes. Juntos, forma una huella digital única.