The IAQ4EDU project develops an innovative methodology for assessing airborne infection risk in naturally ventilated environments

The IAQ4EDU project has developeda novel methodology for assessing airborne infection risk in naturally ventilated environments. The  paper, published in the prestigious Journal of Building Engineering (JCR-Q1, Impact Factor: 6.7), is entitled "Assessment of airborne infection risk in naturally ventilated environments". PhD student Juan Tugores conducted the research under the supervision of Prof. Marta Gangolells, principal investigator of the IAQ4EDU project, and Prof. Marcel Macarulla.

During the COVID-19 pandemic, natural ventilation was highly recommended to reduce airborne infection risks. However, varying weather conditions and occupants' window-opening behaviour made it difficult for building managers to accurately determine ventilation rates. This novel methodology, based on grey box model of indoor CO₂ concentration, estimates natural ventilation rates using  data from a primary classroom across spring, summer, and winter. Infection risk is then calculated by discretizing the accumulative viral dose inhaled over time. 

Unlike traditional models like Wells-Riley, which assume steady-state conditions, this novel approach adapts to irregular ventilation and occupancy patterns, providing a more accurate assessment of airborne infection risks. The results can be used for optimizing window-opening strategies to reduce disease transmission in educational settings, considering diverse infection rates and pathogens.

Comparison between Wells-Riley approaches and present methodology for the infection risk assessment in the three study cases

Details can be found in the online version of the article:  

https://doi.org/10.1016/j.jobe.2024.111716

For more information visit our social media pages:

 LinkedIn of the project     GRIC's Twitter       ResearchGate