Impact of Industrial Pollution on Respiratory Disease in Thailand
Author Information
Author(s): Jadsri Somchai, Singhasivanon Pratap, Kaewkungwal Jaranit, Sithiprasasna Rattana, Siriruttanapruk Somkiat, Konchom Supawadee
Primary Institution: Mahidol University
Hypothesis
This study aimed to determine the spatial distribution of respiratory disease and quantify the relationship between estimated pollutants and respiratory disease in Maptaphut Municipality.
Conclusion
The study found significant relationships between estimated pollutants like SO2, NOx, and TSP, and the rate of respiratory disease, particularly in communities near the Maptaphut Industrial Estate.
Supporting Evidence
- Communities near the Maptaphut Industrial Estate showed a higher risk of respiratory disease.
- A dose-response effect was observed with higher pollutant concentrations leading to increased disease rates.
- Significant disease clusters were identified in areas adjacent to the industrial estate.
Takeaway
Living near factories can make people sick, especially with breathing problems, because of the bad air from pollution.
Methodology
The study used disease mapping, spatial regression analysis, and time-series analysis to assess the relationship between pollutants and respiratory disease rates.
Potential Biases
Potential bias may arise from the selection of communities based on clustering and pollutant dispersion.
Limitations
The study may not account for all potential confounding factors affecting respiratory disease rates.
Participant Demographics
The study involved communities in Maptaphut Municipality, which includes diverse populations affected by industrial pollution.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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