Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality

Understanding sociodemographic, behavioral, clinical, and laboratory risk factors in patients diagnosed with COVID-19 is critically important, and requires building large and diverse COVID-19 cohorts with both retrospective information and prospective follow-up. A large Health Information Exchange (...

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Detalles Bibliográficos
Autores principales: Tortolero, Guillermo A., Brown, Michael R., Sharma, Shreela V., de Oliveira Otto, Marcia C., Yamal, Jose-Miguel, Aguilar, David, Gunther, Matt D., Mofleh, Dania I., Harris, Rachel D., John, Jemima C., de Vries, Paul S., Ramphul, Ryan, Serbo, Dritana Marko, Kiger, Jennifer, Banerjee, Deborah, Bonvino, Nick, Merchant, Angela, Clifford, Warren, Mikhail, Jenny, Xu, Hua, Murphy, Robert E., Wei, Qiang, Vahidy, Farhaan S., Morrison, Alanna C., Boerwinkle, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174716/
https://www.ncbi.nlm.nih.gov/pubmed/34081724
http://dx.doi.org/10.1371/journal.pone.0247235

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