As Europe is experiencing a second violent CoVid-19 storm, with the PCR-based testing system deteriorating due to the high volumes of people to be tested daily, there is a general reconsideration of the mathematical theories at the basis of our contact tracing and testing approaches. Drawing upon the concept of super spreader, we propose the use of (less sensitive) rapid tests to detect those secondary infections that do not need the use of PCRs, thus saving the most part of PCR tests currently used. This before the system fails.
Roccetti, M., Delnevo, G. (2021). Modeling CoVid-19 Diffusion with Intelligent Computational Techniques is not Working. What Are We Doing Wrong?. Cham Switzerland : Springer Nature [10.1007/978-3-030-74009-2_61].
Modeling CoVid-19 Diffusion with Intelligent Computational Techniques is not Working. What Are We Doing Wrong?
Roccetti, Marco;Delnevo, Giovanni
2021
Abstract
As Europe is experiencing a second violent CoVid-19 storm, with the PCR-based testing system deteriorating due to the high volumes of people to be tested daily, there is a general reconsideration of the mathematical theories at the basis of our contact tracing and testing approaches. Drawing upon the concept of super spreader, we propose the use of (less sensitive) rapid tests to detect those secondary infections that do not need the use of PCRs, thus saving the most part of PCR tests currently used. This before the system fails.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
