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Assessing the Impact of the COVID‐19 Pandemic on Relative Incidence Rates in United States Claims Data
Conflicts of Interest Julie Barberio, Kexin Zhu, Venkatesh Harikrishnan, Xinyu Li, and Sarah-Jo Sinnott are employees of Sanofi and may hold shares and/or stock options in the company. Supporting Information Filename Description pds70246-sup-0001-supinfo.docxWord 2007 document , 8.5 MB Data S1: pds70246-sup-0001-supinfo.docx. References 1 World Health Organization, “Coronavirus Disease (COVID-19) Pandemic,” (2025), https://www.who.int/emergencies/diseases/novel-coronavirus-2019.
Comparing Two Approaches to Identify Individuals with Severe Asthma in United States Claims Data
Purpose Given the increased likelihood for individuals with severe asthma to experience comorbidities, disease complications, emergency room visits, and hospitalizations, the ability to stratify asthma populations on severity is often important. Although pharmacoepidemiologic studies using administrative healthcare databases sometimes categorize asthma severity, there is no consensus on an approach.
An assessment of a mother–infant linkage | CLEP
Back to Journals » Clinical Epidemiology » Volume 16 Authors Barberio J , Hernandez RK, Naimi AI, Patzer RE, Kim C, Lash TL Received 1 August 2023 Accepted for publication 13 December 2023 Published 31 January 2024 Volume 2024:16 Pages 31—43 DOI https://doi.org/10.2147/CLEP.S429246 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Professor Vera Ehrenstein Julie Barberio,1,2 Rohini K Hernandez,2 Ashley I Naimi,1 Rachel...
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