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Published on: August 22, 2012
Statistical modelling of childhood diarrhea in northeastern Thailand
Jurairat Ardkaew1, Phattrawan Tongkumchum
1Department of Sciences, Faculty of Science and Technology, Loei Rajabhat University, Loei, Thailand.
Insights
Diarrhea incidence in young children in Thailand shows seasonal peaks from January to June. Health authorities can use this data to improve disease prevention strategies.
Area of Science:
- Epidemiology
- Public Health
- Pediatrics
Background:
- Diarrhea is a significant cause of illness in children under five in Thailand.
- Understanding diarrhea incidence patterns is crucial for effective public health interventions.
Purpose of the Study:
- To identify temporal and spatial patterns of diarrhea incidence in children under five.
- To inform public health strategies for diarrhea prevention in northeastern Thailand.
Main Methods:
- Analysis of individual hospital case records from 1999-2004.
- Application of linear regression and generalized estimating equations to model disease incidence.
- Imputation techniques used to address under-reporting of low disease counts.
Main Results:
- A distinct seasonal pattern of diarrhea incidence was observed, with peaks in January-March and April-June.
- Higher incidence rates were noted in specific districts within Loei and Amnat Chroen Provinces.
- Thematic mapping of incidence levels by district was proposed as a tool for health authorities.
Conclusions:
- Diarrhea incidence in young children in northeastern Thailand exhibits predictable seasonal trends.
- Geographic and temporal data on diarrhea incidence are vital for targeted public health interventions.
- Effective disease prevention policies can be developed based on identified incidence patterns.
Abstract:
Diarrhea remains an important cause of morbidity in Thailand, particularly for children below age five. This study identified the patterns of diarrhea incidence in children below age five in northeastern provinces of Thailand along the border with Lao PDR, based on the individual hospital case records of patients with diarrhea routinely reported from 1999 to 2004. Linear regression models containing the district, season and year as factors were fitted to the log-transformed disease incidences, with generalized estimating equations used to account for spatial correlation between districts. Low disease counts suggesting under-reporting were handled by imputation based on these models. This study found a seasonal pattern higher in January to March and April to June. Higher rates occurred in most districts of Loei and Amnat Chroen Provinces. Using a thematic map to display the level of diarrhea incidence by district can provide useful information for health authorities to direct their intervention plans more effectively and to set up health policies for prevention of disease.
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