Singapore Weather Parameters and Indoor Mould Growth: A Statistical Correlation Study
36-month analysis identifies key weather parameters for predicting indoor mould growth with 78% accuracy.
Pico X Health Research•June 2024•13 min read
Abstract
This study analyzed 36 months of meteorological data alongside mould incidence records from 200 Singapore properties to identify key weather parameters affecting indoor mould growth. Humidity showed strongest correlation (r=0.84), followed by consecutive rainy days (r=0.72) and temperature differential (r=0.68). A predictive model achieving 78% accuracy was developed for mould risk forecasting.
Weather Parameter Correlations
Parameter
Correlation (r)
P-value
Ambient humidity (%)
0.84
<0.001
Consecutive rainy days
0.72
<0.001
Indoor-outdoor temp differential
0.68
<0.001
Monthly rainfall (mm)
0.61
<0.001
Average temperature
0.34
<0.01
Wind speed
-0.28
<0.05
Mould Risk Thresholds
Low Risk: Humidity <75%, no rain for 3+ days
Moderate Risk: Humidity 75-85%, 1-2 consecutive rainy days
High Risk: Humidity >85%, 3+ consecutive rainy days