Exploring spatiotemporal pattern in the association between short-term exposure to fine particulate matter and COVID-19 incidence in the continental United States: a Leroux-conditional-autoregression-based strategy

Exploring spatiotemporal pattern in the association between short-term exposure to fine particulate matter and COVID-19 incidence in the continental United States: a Leroux-conditional-autoregression-based strategy

BackgroundNumerous studies have demonstrated that fine particulate matter (PM2.5) is adversely associated with COVID-19 incidence. However, few studies have explored the spatiotemporal heterogeneity in this association, which is critical for developing cost-effective pollution-related policies for a...

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Bibliographic Details
Main Authors: Shiyi Liu, Shuming Ji, Jianjun Xu, Yujing Zhang, Han Zhang, Jiahe Liu, Donghao Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Public Health
Subjects:
spatiotemporal heterogeneity
PM2.5 exposure
vaccination modification
spatial dependence
conditional autoregression
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1308775/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1308775/full

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