Harvard researchers developed machine-learning models to predict indoor mold growth after hurricane flooding using building-level data from 60 homes. The work identifies airtightness, exhaust fan airflow, window blind status, roof age and flood depth as key factors. — according to healthybuildings hsph harvard edu.
Source: healthybuildings hsph harvard edu.