Publication: Spatio-temporal effects of estimated pollutants released from an industrial estate on the occurrence of respiratory disease in Maptaphut Municipality, Thailand
Accepted Date
2006-11-08
Issued Date
2006-11-08
Copyright Date
2006
Resource Type
Language
eng
ISSN
1476-072X (electronic)
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Mahidol University
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BioMed Central
Bibliographic Citation
Jadsri S, Singhasivanon P, Kaewkungwal J, Sithiprasasna R, Siriruttanapruk S, Konchom S. Spatio-temporal effects of estimated pollutants released from an industrial estate on the occurrence of respiratory disease in Maptaphut Municipality, Thailand. Int J Health Geogr. 2006 Nov 8;5:48.
Suggested Citation
Somchai Jadsri, สมชาย จาดศรี, Pratap Singhasivanon, ประตาป สิงหศิวานนท์, Jaranit Kaewkungwal, จรณิต แก้วกังวาล, Rattana Sithiprasasna, Somkiat Siriruttanapruk, Supawadee Konchom Spatio-temporal effects of estimated pollutants released from an industrial estate on the occurrence of respiratory disease in Maptaphut Municipality, Thailand. Jadsri S, Singhasivanon P, Kaewkungwal J, Sithiprasasna R, Siriruttanapruk S, Konchom S. Spatio-temporal effects of estimated pollutants released from an industrial estate on the occurrence of respiratory disease in Maptaphut Municipality, Thailand. Int J Health Geogr. 2006 Nov 8;5:48.. doi:10.1186/1476-072X-5-48 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/728
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Title
Spatio-temporal effects of estimated pollutants released from an industrial estate on the occurrence of respiratory disease in Maptaphut Municipality, Thailand
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Abstract
BACKGROUND: Maptaphut Industrial Estate (MIE) was established with a single
factory in 1988, increasing to 50 by 1998. This development has resulted in
undesirable impacts on the environment and the health of the people in the
surrounding areas, evidenced by frequent complaints of bad odours making the
people living there ill. In 1999, the Bureau of Environmental Health, Department
of Health, Ministry of Public Health, conducted a study of the health status of
people in Rayong Province and found a marked increase in respiratory diseases
over the period 1993-1996, higher than the overall prevalence of such diseases in
Thailand. However, the relationship between the pollutants and the respiratory
diseases of the people in the surrounding area has still not been quantified.
Therefore, this study aimed to determine the spatial distribution of respiratory
disease, to estimate pollutants released from the industrial estates, and to
quantify the relationship between estimated pollutants and respiratory disease in
the Maptaphut Municipality.
RESULTS: Disease mapping showed a much higher risk of respiratory disease in
communities adjacent to the Maptaphut Industrial Estate. Disease occurrence
formed significant clusters centred on communities near the estate, relative to
the weighted mean centre of chimney stacks. Analysis of the rates of respiratory
disease in the communities, categorized by different concentrations of estimated
pollutants, found a dose-response effect. Spatial regression analysis found that
the distance between community and health providers decreased the rate of
respiratory disease (p < 0.05). However, after taking into account distance,
total pollutant (p < 0.05), SO2 (p < 0.05) and NOx (p < 0.05) played a role in
adverse health effects during the summer. Total pollutant (p < 0.05) and NOx (p <
0.05) played a role in adverse health effects during the rainy season after
taking into account distance, but during winter there was no observed
relationship between pollutants and rates of respiratory disease after taking
into account distance. A 12-month time-series analysis of six communities
selected from the disease clusters and the areas impacted most by pollutant
dispersion, found significant effects for SO2 (p < 0.05), NOx (p < 0.05), and TSP
(p < 0.05) after taking into account rainfall.
CONCLUSION: This study employed disease mapping to present the spatial
distribution of disease. Excessive risk of respiratory disease, and disease
clusters, were found among communities near Maptaphut Industrial Estate. Study of
the relationship between estimated pollutants and the occurrence of respiratory
disease found significant relationships between estimated SO2, NOx, and TSP, and
the rate of respiratory disease.