ArticleBuilding and environment2023
New dose-response model and SARS-CoV-2 quanta emission rates for calculating the long-range airborne infection risk.
Article in Building and environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Mathematical Modeling of Viral RNA Copies in Indoor Environments: Pre-Processor for Risk Assessment and Decision-Making Support Tool for Public Health.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- The Wells-Riley Model Revisited II: Parameter Uncertainty and Population Heterogeneity.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Aerosol emission rates from breathing, speaking, and speaking with a surgical mask.Frontiers in public health · 2026Article
- Comparative assessment of airborne infection risk tools in enclosed spaces: Implications for disease control.Infectious Disease Modelling · 2025Article
- Comparing strategies for the mitigation of SARS-CoV-2 airborne infection risk in tiered auditorium venues.Communications engineering · 2024Article
- Article
- Estimated relative potential for airborne SARS-CoV-2 transmission in a day care centre.Heliyon · 2024Article
- A coupled experimental and statistical approach for an assessment of SARS-CoV-2 infection risk at indoor event locations.BMC public health · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictive models for airborne infection risk have been extensively used during the pandemic, but there is yet still no consensus on a common approach, which may create misinterpretation of results among public health experts and engineers designing building ventilation. In this study we applied the latest data on viral load, aerosol droplet sizes and removal mechanisms to improve the Wells Riley model by introducing the following novelties i) a new model to calculate the total volume of respiratory fluid exhaled per unit time ii) developing a novel viral dose-based generation rate model for dehydrated droplets after expiration iii) deriving a novel quanta-RNA relationship for various strains of SARS-CoV-2 iv) proposing a method to account for the incomplete mixing conditions. These new approaches considerably changed previous estimates and allowed to determine more accurate average quanta emission rates including omicron variant. These quanta values for the original strain of 0.13 and 3.8 quanta/h for breathing and speaking and the virus variant multipliers may be used for simple hand calculations of probability of infection or with developed model operating with six size ranges of aerosol droplets to calculate the effect of ventilation and other removal mechanisms. The model developed is made available as an open-source tool.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.