2024 No Development of a Bayesian inference model for assessing ventilation condition based on CO2 meters in primary schools https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395798/ Hou, Dandin North America Experimental Elementary (K-5) Ventilation rates Carbon Dioxide (CO2) COVID-19 Bayesian calibration Markov chain Monte carlo Ventilation rate School carbon dioxide (CO₂) This study uses Bayesian inference to calibrate ventilation rates and analyze CO2 data in four primary school classrooms, identifying key uncertainties and showing that frequent CO2 measurements better capture ventilation dynamics critical for managing airborne infection risks. 2022