Statistical issues in health impact assessment at the state and local levels

Fuentes, M

HERO ID

1573450

Reference Type

Journal Article

Year

2009

Language

English

PMID

19888447

HERO ID 1573450
In Press No
Year 2009
Title Statistical issues in health impact assessment at the state and local levels
Authors Fuentes, M
Journal Air Quality, Atmosphere and Health
Volume 2
Issue 1
Page Numbers 47-55
Abstract In this work we discuss the uncertainty in estimating the human health risk due to exposure to air pollution, including personal and population average exposure error, epidemiological designs and methods of analysis. Different epidemiological models may lead to very different conclusions for the same set of data. Thus, evaluation of the assumptions made and sensitivity analysis are necessary.Short-term health impact indicators may be calculated using concentration-response (C-R) functions. We discuss different methods to combine C-R function estimates from a given locale and time period with the larger body of evidence from other locales and periods and with the literature. A shrunken method is recommended to combine C-R function estimates from multiple-locales. This shrunken estimate includes information from the overall and the local estimates, and thus it characterizes the estimated excess of risk due to heterogeneity between the different locations.
Doi 10.1007/s11869-009-0033-3
Pmid 19888447
Wosid WOS:000208469500006
Is Certified Translation No
Dupe Override No
Comments Journal: Air quality, atmosphere, & health ISSN: 1873-9318
Is Public Yes
Language Text English
Keyword Uncertainty analysis; Spatial statistics; Exposure assessment; Risk assessment; Time series; Case-crossover analysis; Local spatial analysis; Bayesian inference
Is Peer Review Yes