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Efficiency of COVID-19 Testing Centers in Iran: A Data Envelopment Analysis Approach.

Hamed SeddighiHossein BaharmandAli Morovati SharifabadiIbrahim SalmaniSaeideh Seddighi
Published in: Disaster medicine and public health preparedness (2021)
Using resources without efficient planning can lead to direct costs such as food, transportation, and maintenance, as well as indirect costs such as burnout, fatigue, and stress when responding to the COVID-19 pandemic. This analysis should support IRCS's managers to move their valuable resources from inefficient to efficient centers to increase the screening rate and reduce the fatigue of aid workers for the next pandemic rounds.
Keyphrases
  • coronavirus disease
  • sars cov
  • sleep quality
  • machine learning
  • respiratory syndrome coronavirus
  • stress induced
  • deep learning
  • artificial intelligence
  • data analysis