Spatial autocorrelation may bias the risk estimation: An application of eigenvector spatial filtering on the risk of air pollutant on asthma-Reference-Cited by-同舟云学术

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Spatial autocorrelation may bias the risk estimation: An application of eigenvector spatial filtering on the risk of air pollutant on asthma

Published:2022-10 Issue: Volume:843 Page:157053
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Park Yujin,Kim Su Hwan,Kim Seong Pyo,Ryu Jiwon,Yi Jinyeong,Kim Jin Youp,Yoon Hyung-Jin

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference52 articles.

1. Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public;Bell;Int. J. Health Geogr.,2006

2. A preliminary spatial analysis of the association of asthma and traffic-related air pollution in the metropolitan area of Calgary, Canada;Bertazzon;Atmosphere,2020

3. Visits to the emergency room for asthma attacks and short-term variations in air pollution.A case-crossover study;Boutin-Forzano;Respiration,2004

4. Air pollution characteristics associated with mesoscale atmospheric patterns in northwest continental Europe;Buchholz;Atmos. Environ.,2010

5. Unequal impact and spatial aggregation distort COVID-19 growth rates;Burghardt;Philos. Trans. A Math. Phys. Eng. Sci.,2022

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