Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes-Reference-Cited by-同舟云学术

Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes

Published:2022-07-31 Issue:7 Volume:33 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Hoskovec Lauren¹^ORCID,Martenies Sheena²^ORCID,Burket Tori L.³,Magzamen Sheryl⁴^ORCID,Wilson Ander¹^ORCID

Affiliation:

1. Department of Statistics Colorado State University Fort Collins Colorado USA

2. Department of Kinesiology and Community Health University of Illinois at Urbana‐Champaign Urbana‐Champaign Illinois USA

3. Denver Department of Public Health and Environment Denver Colorado USA

4. Department of Environmental and Radiological Health Sciences Colorado State University Fort Collins Colorado USA

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2751

Reference37 articles.

1. Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil

2. Bhaskar A. Chandra J. Braun D. Cellini J. &Dominici F.(2020).Air pollution SARS‐CoV‐2 transmission and COVID‐19 outcomes: A state‐of‐the‐science review of a rapidly evolving research area.medRxiv.

3. Long‐term air pollution exposure and COVID‐19 mortality: a patient‐level analysis from New York City;Bozack A.;American Journal of Respiratory and Critical Care Medicine,2021

4. Environmental Determinants of Coronavirus Disease 2019 (COVID-19)

5. Air Pollution and Respiratory Viral Infection

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