SMILE

Stochastic Models for the Inference of Life Evolution

Bibtex

@article {Czuppon2020,
author = {Czuppon, Peter and D{\'e}barre, Florence and Gonçalves, Antonio and Tenaillon, Olivier and Perelson, Alan S and Guedj, Jérémie and Blanquart, François},
title = {Predicted success of prophylactic antiviral therapy to block or delay SARS-CoV-2 infection depends on the targeted mechanism},
elocation-id = {2020.05.07.20092965},
year = {2020},
doi = {10.1101/2020.05.07.20092965},
publisher = {Cold Spring Harbor Laboratory Press},
abstract = {Repurposed drugs that are immediately available and have a good safety profile constitute a first line of defense against new viral infections. Despite a limited antiviral activity against SARS-CoV-2, several drugs serve as candidates for application, not only in infected individuals but also as prophylaxis to prevent infection establishment. Here we use a stochastic model to describe the early phase of a viral infection. We find that the critical efficacy needed to block viral establishment is typically above 80\%. This value can be improved by combination therapy. Below the critical efficacy, establishment can still sometimes be prevented; for that purpose, drugs blocking viral entry into target cells (or equivalently enhancing viral clearance) are more effective than drugs reducing viral production or enhancing infected cell death. When a viral infection cannot be prevented because of high exposure or low drug efficacy, antivirals can still delay the time to reach detectable viral loads from 4 days when untreated to up to 30 days. This delay flattens the within-host epidemic curve, and possibly reduces transmission and symptom severity. These results suggest that antiviral prophylaxis, even with reduced efficacy, could be efficiently used to prevent or alleviate infection in people at high risk. It could thus be an important component of the strategy to combat the SARS-CoV-2 pandemic in the months or years to come.},
URL = {https://www.medrxiv.org/content/early/2020/05/12/2020.05.07.20092965},
eprint = {https://www.medrxiv.org/content/early/2020/05/12/2020.05.07.20092965.full.pdf},
journal = {medRxiv}
}