Asian Pacific Journal of Cancer Prevention

  • 제17권3호
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  • Pages.1293-1297
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  • 2016
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  • 1513-7368(pISSN)
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  • 2476-762X(eISSN)
아시아태평양암예방학회 (Asian Pacific Journal of Cancer Prevention)
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GIS Database and Google Map of the Population at Risk of Cholangiocarcinoma in Mueang Yang District, Nakhon Ratchasima Province of Thailand

  • Kaewpitoon, Soraya J (School of Family Medicine and Community Medicine, Suranaree University of Technology) ;
  • Rujirakul, Ratana (Parasitic Disease Research Unit, Suranaree University of Technology) ;
  • Joosiri, Apinya (Parasitic Disease Research Unit, Suranaree University of Technology) ;
  • Jantakate, Sirinun (Parasitic Disease Research Unit, Suranaree University of Technology) ;
  • Sangkudloa, Amnat (Information Technology Program, Faculty of Information Technology, Maha Sarakham Rajabhat University) ;
  • Kaewthani, Sarochinee (Social Development Program, Faculty of Humanities and Social Science, Nakhon Ratchasima Rajabhat University) ;
  • Chimplee, Kanokporn (Geo-Informatics Program, Faculty of Science and Technology, Nakhon Ratchasima Rajabhat University) ;
  • Khemplila, Kritsakorn (Environmental Technology Program, Nakhon Ratchasima Rajabhat University) ;
  • Kaewpitoon, Natthawut (Suranaree University of Technology Hospital, Suranaree University of Technology)
  • 발행 : 2016.04.11
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초록

Cholangiocarcinoma (CCA) is a serious problem in Thailand, particularly in the northeastern and northern regions. Database of population at risk are need required for monitoring, surveillance, home health care, and home visit. Therefore, this study aimed to develop a geographic information system (GIS) database and Google map of the population at risk of CCA in Mueang Yang district, Nakhon Ratchasima province, northeastern Thailand during June to October 2015. Populations at risk were screened using the Korat CCA verbal screening test (KCVST). Software included Microsoft Excel, ArcGIS, and Google Maps. The secondary data included the point of villages, sub-district boundaries, district boundaries, point of hospital in Mueang Yang district, used for created the spatial databese. The populations at risk for CCA and opisthorchiasis were used to create an arttribute database. Data were tranfered to WGS84 UTM ZONE 48. After the conversion, all of the data were imported into Google Earth using online web pages www.earthpoint.us. Some 222 from a 4,800 population at risk for CCA constituted a high risk group. Geo-visual display available at following www.google.com/maps/d/u/0/edit?mid=zPxtcHv_iDLo.kvPpxl5mAs90&hl=th. Geo-visual display 5 layers including: layer 1, village location and number of the population at risk for CCA; layer 2, sub-district health promotion hospital in Mueang Yang district and number of opisthorchiasis; layer 3, sub-district district and the number of population at risk for CCA; layer 4, district hospital and the number of population at risk for CCA and number of opisthorchiasis; and layer 5, district and the number of population at risk for CCA and number of opisthorchiasis. This GIS database and Google map production process is suitable for further monitoring, surveillance, and home health care for CCA sufferers.

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