COVID-19 and other viruses: Holding back its spreading by massive testing

作者：

Highlights：

• A SEIR model is introduced to analyse the efficiency of test distributions.

• It is proved that massive testing helps reducing the number of infected people.

• A heuristic method is developed to increase the number of saved infections.

• Extensive computational experience quantifies the number of saved infections.

摘要

•A SEIR model is introduced to analyse the efficiency of test distributions.•It is proved that massive testing helps reducing the number of infected people.•A heuristic method is developed to increase the number of saved infections.•Extensive computational experience quantifies the number of saved infections.

论文关键词：COVID-19,Coronavirus disease,Optimal testing,SIR model,SEIR model,Epidemic

论文评审过程：Received 2 January 2021, Revised 3 July 2021, Accepted 31 July 2021, Available online 9 August 2021, Version of Record 19 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115710