Integrated Simulationfor Identifying the Key Driverof Strain-Specific Airborne Infectivity of Influenza Viruses
Abstract Airborne transmission plays a central role in the spread of seasonal influenza; however, the determinants governing strain-specific airborne infectivity remain poorly understood. Here, we integrated exposure–infection assays with controlled bioaerosol chamber experiments to quantitatively resolve differences between influenza A and B viruses across aerosolization and aging processes. By coupling these measurements with an effective inhaled dose model, we enabled strain-resolved comparisons of exposure potential as a function of host age and activity level. Our results show that strain-dependent differences in aerosolization efficiency, hygroscopic behavior, virion morphology, and physical stability cannot fully account for variations in airborne infectivity. Instead, biological inactivation during aerosol aging emerges as a key factor governing the loss of infectivity in airborne particles. Accordingly, A/H3N2 maintains higher aerosol-phase infectivity across size ranges, whereas influenza B strains display more rapid loss of infectivity. Collectively, these findings identify aerosol-phase biological stability as a primary determinant of strain-specific airborne infectivity and provide a quantitative framework for assessing the aerosol exposure potential of emerging influenza variants and informing indoor respiratory health interventions.
Authors
- Wenlu Wang (ORCID: https://orcid.org/0000-0003-0798-093X)
- Nan Ma (ORCID: https://orcid.org/0000-0003-4494-3337)
- Fengxue Zhang (ORCID: https://orcid.org/0000-0002-5097-5581)
- Changyuan Kang
- Yanpei Li (ORCID: https://orcid.org/0000-0001-7017-0214)
- Jingwei Liu (ORCID: https://orcid.org/0000-0001-9024-4292)
- Tianchi Luo
- Zhuo Chen
- Zhengshi Lin
- Chunguang Yang
- Jun Yang
- Yang Wang
- Weiqi Pan
- Zifeng Yang
Institutions
- Macau University of Science and Technology (MO)
- City University of Hong Kong (HK)
- University of Jinan (CN)
- Guangzhou Experimental Station (CN)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Environmental Science & Technology
- Published
- 2026-08-03
- DOI
- https://doi.org/10.1021/acs.est.6c01632
- Primary Topic
- Infection Control and Ventilation
- Type
- article
- Field-Weighted Citation Impact
- 0.00