TL;DR
This study uses mathematical models to evaluate how intranasal antiviral sprays can prevent or reduce SARS-CoV-2 superspreading events, highlighting their potential as a supplementary public health tool.
Contribution
It provides the first quantitative analysis of intranasal sprays' effectiveness in controlling SARS-CoV-2 superspreading events using real outbreak case studies.
Findings
Prophylactic sprays can reduce infections by over 90% with >65% coverage in cruise ship scenarios.
Early spray use can halve individual infection risk and reduce severe cases.
Effectiveness depends on timely deployment and coverage, especially in short-duration events.
Abstract
Superspreading events are known to disproportionally contribute to onwards transmission of epidemic and pandemic viruses. Preventing infections at a small number of high-transmission settings is therefore an attractive public health goal. Here, we use deterministic and stochastic mathematical modelling to quantify the impact of intranasal sprays in containing outbreaks at a known superspreading event (the 2020 SARS-CoV-2 outbreak at the Diamond Princess cruise ship) and a conference event that led to extensive transmission. We find that in the Diamond Princess cruise ship case study, there exists a 7-14-day window of opportunity for widespread prophylactic spray usage to significantly impact the number of infections averted. Given an immediate response to a known SARS-CoV-2 outbreak, alongside testing and social distancing measures, prophylactic efficacy and coverage greater than 65%…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
