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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Bibliographic Details
Main Authors: Guillermo A Tortolero, Michael R Brown, Shreela V Sharma, Marcia C de Oliveira Otto, Jose-Miguel Yamal, David Aguilar, Matt D Gunther, Dania I Mofleh, Rachel D Harris, Jemima C John, Paul S de Vries, Ryan Ramphul, Dritana Marko Serbo, Jennifer Kiger, Deborah Banerjee, Nick Bonvino, Angela Merchant, Warren Clifford, Jenny Mikhail, Hua Xu, Robert E Murphy, Qiang Wei, Farhaan S Vahidy, Alanna C Morrison, Eric Boerwinkle
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0247235