Using discrete event simulation to optimize nucleic acid testing process for coronavirus disease 2019 (COVID-19).

ABSTRACT:

Background

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory coronavirus-2 (SARS-CoV-2) has placed enormous diagnostic burden on hospitals and testing laboratories. It is thus critical for such facilities to optimize the diagnostic process to enable maximum testing on minimum resources. The current standard of diagnosis is the detection of the viral nucleic acid in clinical specimens.

Methods

In order to optimize the laboratory's nucleic acid testing system for COVID-19, we performed a Discrete-Event-Simulation using the Arena Simulation Software to model the detection process based on the data obtained from the First Affiliated Hospital of Guangzhou Medical University (FAHGMU). The maximum of total time that specimens spent and the equipmen

SUBMITTER: Guan W 

PROVIDER: S-EPMC9264082 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature