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KMID : 1138720160420010001
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Korean Public Health Research
2016 Volume.42 No. 1 p.1 ~ p.13
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Spatial Analysis on the Regional Variation of Community-acquired Pneumonia Occurrences and Its Relationship with Regional Factors in South Korea
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Park Seong-Yong
Lee Kwang-Soo
Kwak Jin-Mi
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Abstract
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Objective: Community-Acquired Pneumonia (CAP) is the most frequently occurred infectious disease in Korea, and previous studies analyzed the occurrences of CAP were mainly focused on the personal level. This study purposed to analyze the regional variation of CAP occurrences and the relationships between the CAP occurrences and regional factors using spatial analysis method.
Methods: Cross sectional study design was applied with data collected from the 219 city gun(county in Korean)?gu(district in Korean) administrative regions in South Korea. Korean National Hospital Discharge In-depth Survey (NHDIS) in 2009 provided by Korea Centers for Disease Control and Prevention (KCDC) was used to identify the CAP occurrences in regions, and its rates were standardized with sex and age of population in the regions. The Korean Statistical Information Service (KOSIS) and Community Health Survey (CHS) were used to identify the regional variables in 2009. Ordinal Least Square (OLS) regression and Geographically Weighted Regression (GWR) were applied to identify their effects. Statistical analysis was performed by using SAS ver. 9.3, and ArcGIS ver. 10.0 was used for spatial analysis.
Results: OLS results showed that the number of basic livelihood recipients per 100,000 population and the proportion of elderly population had significant positive relationships with the standardized CAP patients per 100,000 population. Results from GWR showed that the directions of coefficients were varied depending on regions.
Conclusion: This study identified that social?economical?welfare status of the regions may not have consistent effects on the occurrences of CAP. Further studies will be needed with the additional variables representing regional characteristics.
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KEYWORD
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Geographic Information System, Spatial Analysis, Community-acquired Pneumonia, Regional Variation
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