Search from over 60,000 research works

Advanced Search

Quanta emission rate during speaking and coughing mediated by indoor temperature and humidity

[thumbnail of AirborneProbability_Submission_EI_accepted.pdf]
Restricted to Repository staff only
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Lavor, V., Wei, J., Coceal, O. orcid id iconORCID: https://orcid.org/0000-0003-0705-6755, Grimmond, S. orcid id iconORCID: https://orcid.org/0000-0002-3166-9415 and Luo, Z. orcid id iconORCID: https://orcid.org/0000-0002-2082-3958 (2025) Quanta emission rate during speaking and coughing mediated by indoor temperature and humidity. Environment International. 109379. ISSN 1873-6750 doi: 10.1016/j.envint.2025.109379

Abstract/Summary

In epidemiological prospective modelling, assessing the hypothetical infectious quanta emission rate (Eq) is critical for estimating airborne infection risk. Existing Eq models overlook environmental factors such as indoor relative humidity (RH) and temperature (T), despite their importance to droplet evaporation dynamics. Here we include these environmental factors in a prospective Eq model based on the airborne probability functions with emitted droplet distribution for speaking and coughing activities. Our results show relative humidity and temperature have substantial influence on Eq. Drier environments exhibit a notable increase in suspended droplets (cf. moist environments), with Eq having a 10-fold increase when RH decreases from 90 % to 20 % for coughing and a 2-fold increase for speaking at a representative summer temperature (T = 25 C). In warmer environments, Eq values are consistently higher (cf. colder), with increases of up to 22 % for coughing and 9 % for speaking. This indicates temperature has a smaller impact than humidity. We demonstrate that indoor environmental conditions are important when quantifying the quanta emission rate using a prospective method. This is essential for assessing airborne infection risk.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/121992
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Elsevier
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar