December 14, 2020

Impact of Mass Testing during an Epidemic Rebound of SARS-CoV-2 A Modelling Study

Category: Article Summary

Topic: Modeling and Prediction

Keywords (Tags): modeling prediction, non-pharm interventions, testing

[Preprint, not peer-reviewed] A modeling study using a compartmental SEEIR model to evaluate the impact of mass testing of SARS-CoV-2 during an epidemic rebound in France found that a monthly campaign covering 75% of the population would reduce daily infections by 43% by May 1st, 2021, and a bi-weekly campaign would reduce infections by 75%. The model assumed the testing campaign would start on January 4th, 2021, with an infection doubling time of 21 days. For a rebound with doubling time of 14 days, the reductions would be 20% for a monthly campaign and 44% for a biweekly campaign. 

Bosetti et al. (Dec 13, 2020). Impact of Mass Testing during an Epidemic Rebound of SARS-CoV-2 A Modelling Study. Pre-print downloaded Dec 14 from https://doi.org/10.1101/2020.12.08.20246009