Designing optimal COVID-19 testing stations locally: A discrete event simulation model applied on a university campus.

ABSTRACT: Providing sufficient testing capacities and accurate results in a time-efficient way are essential to prevent the spread and lower the curve of a health crisis, such as the COVID-19 pandemic. In line with recent research investigating how simulation-based models and tools could contribute to mitigating the impact of COVID-19, a discrete event simulation model is developed to design optimal saliva-based COVID-19 testing stations performing sensitive, non-invasive, and rapid-result RT-qPCR tests processing. This model aims to determine the adequate number of machines and operators required, as well as their allocation at different workstations, according to the resources available and the rate of samples to be tested per day. The model has been built and experienced using actual data and pro

SUBMITTER: Saidani M 

PROVIDER: S-EPMC8241042 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature