Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program

Author:

Zhang YongkangORCID,Hu HuiORCID,Fokaidis VasiliosORCID,V Colby LewisORCID,Xu Jie,Zang Chengxi,Xu Zhenxing,Wang Fei,Koropsak MichaelORCID,Bian JiangORCID,Hall Jaclyn,Rothman Russell L.ORCID,Shenkman Elizabeth A.ORCID,Wei Wei-Qi,Weiner Mark G.,Carton Thomas W.ORCID,Kaushal RainuORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Environmental Science (miscellaneous),Environmental Chemistry,Global and Planetary Change

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts;Communications Medicine;2024-07-11

2. Disparities by Social Determinants of Health: Links Between Long COVID and Cardiovascular Disease;Canadian Journal of Cardiology;2024-06

3. The Role of Electronic Health Records to Identify Risk Factors for Developing Long COVID: A Scoping Review;Lecture Notes in Networks and Systems;2024

4. Mining Electronic Health Records for Real-World Evidence;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

5. Post-COVID Conditions and Burden of Disease;Physical Medicine and Rehabilitation Clinics of North America;2023-08

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