Estimating the prevalence and spatial clusters of coal workers' pneumoconiosis cases using medicare claims data, 2011‐2014-Reference-Cited by-同舟云学术

Estimating the prevalence and spatial clusters of coal workers' pneumoconiosis cases using medicare claims data, 2011‐2014

Published:2020-03-09 Issue:6 Volume:63 Page:478-483
ISSN:0271-3586
Container-title:American Journal of Industrial Medicine
language:en
Short-container-title:Am J Ind Med

Author:

Arif Ahmed A.¹^ORCID,Paul Rajib¹,Delmelle Eric²,Owusu Claudio²,Adeyemi Oluwaseun¹

Affiliation:

1. Department of Public Health SciencesThe University of North Carolina at CharlotteCharlotte North Carolina

2. Department of Geography and Earth SciencesThe University of North Carolina at CharlotteCharlotte North Carolina

Funder

Federal Office of Rural Health Policy (FORHP), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajim.23104

Reference27 articles.

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2. Profitability and occupational injuries in U.S. underground coal mines

3. Systematic review: Lost-time injuries in the US mining industry

4. Descriptive review of asbestosis and silicosis hospitalization trends in North Carolina, 2002‐2011;Dang GT;N C Med J,2013

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1. Elucidation of alveolar macrophage cell response to coal dusts: Role of ferroptosis in pathogenesis of coal workers' pneumoconiosis;Science of The Total Environment;2022-06

2. Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data;American Journal of Industrial Medicine;2022-02-08

3. A systematic review and meta-analysis on international studies of prevalence, mortality and survival due to coal mine dust lung disease;PLOS ONE;2021-08-03

4. Mortality among workers employed in the mining industry in the United States: A 29‐year analysis of the National Health Interview Survey—Linked Mortality File, 1986‐2014;American Journal of Industrial Medicine;2020-07-20