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Estimating Preventable COVID19 Infections Related to Elective Outpatient Surgery in Washington State: A Quantitative Model
Yuemei Zhang; Sheng-Ru Cheng.
Affiliation
  • Yuemei Zhang; University of Washington
  • Sheng-Ru Cheng; University of Illinois at Urbana-Champaign
Preprint in English | medRxiv | ID: ppmedrxiv-20037952
ABSTRACT
BackgroundAs the number of suspected and confirmed COVID-19 cases in the US continues to rise, the US surgeon general, Centers for Disease Control and Prevention, and several specialty societies have issued recommendations to consider canceling elective surgeries. However, these recommendations have also faced controversy and opposition. MethodsUsing previously published information and publicly available data on COVID-19 infections, we calculated a transmission rate and generated a mathematical model to predict a lower bound for the number of healthcare-acquired COVID-19 infections that could be prevented by canceling or postponing elective outpatient surgeries in Washington state. ResultsOur model predicts that over the course of 30 days, at least 75.9 preventable patient infections and at least 69.3 preventable healthcare worker (HCW) infections would occur in WA state alone if elective outpatient procedures were to continue as usual. ConclusionCanceling elective outpatient surgeries during the COVID-19 pandemic could prevent a large number of patient and healthcare worker infections.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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