Influence of Indoor Conditions on Sick Building Syndrome: A Data-Driven Investigation

This study conducted tests to examine the correlation between temperature, relative humidity, and the number of individuals per cubic meter with indoor pollutants such as CO2, TVOC, PM2.5, and PM10. Observations were made under both ideal temperature and relative humidity conditions, as well as under varying temperature and humidity scenarios. To analyze the data, the Levene test, ANOVA, and correlation analyses were employed, ensuring a comprehensive understanding of the relationships between the variables. Drawing from the Environmental Protection Agency’s guidelines and using advanced statistical methods, the influence of these factors on indoor air quality was determined. The findings underscore the significance of maintaining optimal temperature and humidity levels and the need for consistent monitoring of indoor contaminants. Through this rigorous approach, the research aims to establish standards for preventing respiratory diseases and addressing the challenges of Sick Building Syndrome (SBS).