목적: 2000년 이후 국내에서 쯔쯔가무시병의 발생이 급증하고 있는데, 본 연구는 경상남도에서 발생한 쯔쯔가무시병에 대한 역학적 분석과 함께 기후요인과의 관계를 지리정보시스템(GIS)을 사용하여 파악하여 가을철 발열성전염병의 관리를 위한 기초자료를 제공하고자 한다. 방법: 우리나라 전염병통계자료와 2004~2006년 사이 경상남도 쯔쯔가무시병 발생 전체에 대한 1,947개의 역학조사서를 사용하여 질병특성을 분석하였고, 기상청 기후자료를 이용하여 질병발생과의 관련성을 분석하였다. GIS를 이용하여 질병의 발생지역을 분석하고 크리킹(...
목적: 2000년 이후 국내에서 쯔쯔가무시병의 발생이 급증하고 있는데, 본 연구는 경상남도에서 발생한 쯔쯔가무시병에 대한 역학적 분석과 함께 기후요인과의 관계를 지리정보시스템(GIS)을 사용하여 파악하여 가을철 발열성전염병의 관리를 위한 기초자료를 제공하고자 한다. 방법: 우리나라 전염병통계자료와 2004~2006년 사이 경상남도 쯔쯔가무시병 발생 전체에 대한 1,947개의 역학조사서를 사용하여 질병특성을 분석하였고, 기상청 기후자료를 이용하여 질병발생과의 관련성을 분석하였다. GIS를 이용하여 질병의 발생지역을 분석하고 크리킹(Kriging) 보간법을 사용하여 함안군의 평균기온을 추정하였다. 윈도우용 SPSS(14.0K)를 이용하여 카이제곱검정, t 검정, 일원분산분석, 상관분석을 시행하였고, GIS를 이용한 공간분석과 크리깅은 ArcGIS(9.1)를 이용하였다.
목적: 2000년 이후 국내에서 쯔쯔가무시병의 발생이 급증하고 있는데, 본 연구는 경상남도에서 발생한 쯔쯔가무시병에 대한 역학적 분석과 함께 기후요인과의 관계를 지리정보시스템(GIS)을 사용하여 파악하여 가을철 발열성전염병의 관리를 위한 기초자료를 제공하고자 한다. 방법: 우리나라 전염병통계자료와 2004~2006년 사이 경상남도 쯔쯔가무시병 발생 전체에 대한 1,947개의 역학조사서를 사용하여 질병특성을 분석하였고, 기상청 기후자료를 이용하여 질병발생과의 관련성을 분석하였다. GIS를 이용하여 질병의 발생지역을 분석하고 크리킹(Kriging) 보간법을 사용하여 함안군의 평균기온을 추정하였다. 윈도우용 SPSS(14.0K)를 이용하여 카이제곱검정, t 검정, 일원분산분석, 상관분석을 시행하였고, GIS를 이용한 공간분석과 크리깅은 ArcGIS(9.1)를 이용하였다.
Objectives: Tustsugamushi disease is one of the important acute febrile illness during late fall in Korea and incidence have been increasing notably. This study was carried out to investigate the epidemiologic characteristics and to presents the first application of ordinary kriging to the spatial i...
Objectives: Tustsugamushi disease is one of the important acute febrile illness during late fall in Korea and incidence have been increasing notably. This study was carried out to investigate the epidemiologic characteristics and to presents the first application of ordinary kriging to the spatial interpolation of tsutsugamushi disease in Gyeongsangnam-do, Korea. Methods: To evaluate the epidemiologic patterns of tsutsugamushi disease, epidemiologic surveillance reports collected from 16 public health centers in Gyeongsangnam-do from 2004 to 2006. Surveillance data were retrospectively examined to examine the frequency and to explore the spatial characteristics of the Gyeongsangnam-do. For statistical analysis, SPSS(14.0K) software and for spatial analysis and interpolation, geographic information systems(GIS) and the ordinary Kriging method were used. Results: Most reported cases of tsutsugamushi disease were occurred during Oct and Nov in Gyeongsangnam-do. Female and old age group were more affected in tsutsugamushi disease. The tsutsugamushi disease cases were 1,947 during three year period. The incidence were 14.8(per 100,000 persons) in male and 26.3 in female and was significantly higher in the county area than in the city area. On geographical distribution of tsutsugamushi disease, some "local hot spots" of disease occurrences developed in Haman-gun. Estimated mean temperature in Haman-gun was 18.3℃~14.9℃ within 41th~43th week. Conclusions: These results showed similar patterns with previous epidemiologic studies in Korea. Incidence of tsutsugamushi cases was increasing in Gyeongsangnam-do, Korea, this phenomenon may be related to change of climate, the reporting rate of disease and outing activities. We demonstrated the presence of relation between tsutsugamushi disease and climatic factors. Good surveillance and adequate analysis of epidemiologic data is a essential for the prevention of the disease. The use of GIS and Kriging can be valuable tools in analysing on-going surveillance data to identify high risk areas and shifts in disease clustering within a small geographical area.
Objectives: Tustsugamushi disease is one of the important acute febrile illness during late fall in Korea and incidence have been increasing notably. This study was carried out to investigate the epidemiologic characteristics and to presents the first application of ordinary kriging to the spatial interpolation of tsutsugamushi disease in Gyeongsangnam-do, Korea. Methods: To evaluate the epidemiologic patterns of tsutsugamushi disease, epidemiologic surveillance reports collected from 16 public health centers in Gyeongsangnam-do from 2004 to 2006. Surveillance data were retrospectively examined to examine the frequency and to explore the spatial characteristics of the Gyeongsangnam-do. For statistical analysis, SPSS(14.0K) software and for spatial analysis and interpolation, geographic information systems(GIS) and the ordinary Kriging method were used. Results: Most reported cases of tsutsugamushi disease were occurred during Oct and Nov in Gyeongsangnam-do. Female and old age group were more affected in tsutsugamushi disease. The tsutsugamushi disease cases were 1,947 during three year period. The incidence were 14.8(per 100,000 persons) in male and 26.3 in female and was significantly higher in the county area than in the city area. On geographical distribution of tsutsugamushi disease, some "local hot spots" of disease occurrences developed in Haman-gun. Estimated mean temperature in Haman-gun was 18.3℃~14.9℃ within 41th~43th week. Conclusions: These results showed similar patterns with previous epidemiologic studies in Korea. Incidence of tsutsugamushi cases was increasing in Gyeongsangnam-do, Korea, this phenomenon may be related to change of climate, the reporting rate of disease and outing activities. We demonstrated the presence of relation between tsutsugamushi disease and climatic factors. Good surveillance and adequate analysis of epidemiologic data is a essential for the prevention of the disease. The use of GIS and Kriging can be valuable tools in analysing on-going surveillance data to identify high risk areas and shifts in disease clustering within a small geographical area.
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