Utilization of Google Earth for Distribution Mapping of Cholangiocarcinoma: a Case Study in Satuek District, Buriram, Thailand

  • Rattanasing, Wannaporn (Environmental Managent Technology Program, Faculty of Science and Technology, Nakhon Ratchasima Rajabhat University) ;
  • Kaewpitoon, Soraya J (Parasitic Disease Research, Institute of Medicine, Suranaree University of Technology) ;
  • Loyd, Ryan A (Department of Family Medicine and Community Medicine, Institute of Medicine, Suranaree University of Technology) ;
  • Rujirakul, Ratana (Parasitic Disease Research, Institute of Medicine, Suranaree University of Technology) ;
  • Yodkaw, Eakachai (Division of Family Medicine and Community Medicine, Satuek Hospital) ;
  • Kaewpitoon, Natthawut (Parasitic Disease Research, Institute of Medicine, Suranaree University of Technology)
  • Published : 2015.09.02


Background: Cholangiocarcinoma (CCA) is a serious public health problem in the Northeast of Thailand. CCA is considered to be an incurable and rapidly lethal disease. Knowledge of the distribution of CCA patients is necessary for management strategies. Objectives: This study aimed to utilize the Geographic Information System and Google $Earth^{TM}$ for distribution mapping of cholangiocarcinoma in Satuek District, Buriram, Thailand, during a 5-year period (2008-2012). Materials and Methods: In this retrospective study data were collected and reviewed from the OPD cards, definitive cases of CCA were patients who were treated in Satuek hospital and were diagnosed with CCA or ICD-10 code C22.1. CCA cases were used to analyze and calculate with ArcGIS 9.2, all of data were imported into Google Earth using the online web page Data were displayed at village points. Results: A total of 53 cases were diagnosed and identified as CCA. The incidence was 53.57 per 100,000 population (65.5 for males and 30.8 for females) and the majority of CCA cases were in stages IV and IIA. The average age was 67 years old. The highest attack rate was observed in Thung Wang sub-district (161.4 per 100,000 population). The map display at village points for CCA patients based on Google Earth gave a clear visual deistribution. Conclusions: CCA is still a major problem in Satuek district, Buriram province of Thailand. The Google Earth production process is very simple and easy to learn. It is suitable for the use in further development of CCA management strategies.


  1. Bragazzi MC, Cardinale V, Carpino G, et al (2012). Cholangiocarcinoma: Epidemiology and risk factors. Transl Gastrointest Cancer, 1, 21-32.
  2. Feldman M, Friedman LS, Brandt LJ (2006). Sleisenger and Fordtran's gastrointestinal and liver Disease (8th ed.). saunders. pp. 1493-6.
  3. Haswell-Elkins MR, Mairiang E, Mairiang P, et al (1994). Cross-sectional study of opisthorchis viverrini infection and cholangiocarcinoma in communities within a high-risk area in Northeast Thailand. Int J Cancer, 59, 505-9.
  4. Henson D, Albores-Saavedra J, Corle D (1992). "Carcinoma of the extrahepatic bile ducts. Histologic types, stage of disease, grade, and survival rates". Cancer, 70, 1498-501.<1498::AID-CNCR2820700609>3.0.CO;2-C
  5. Jongsuksuntigul P, Imsomboon T (2003). Opisthorchiasis control in Thailand. Acta Trop, 88, 229-32.
  6. Kaewpitoon N, Kaewpitoon SJ, Pengsaa P, et al (2008). Opisthorchis viverrini: the carcinogenic human liver fluke. World J Gastroenterol, 14, 666-74.
  7. Kheifets L, Crespi CM, Hooper C, et al (2015). Epidemiologic study of residential proximity to transmission lines and childhood cancer in California: description of design, epidemiologic methods and study population. J Expo Sci Environ Epidemiol, 25, 45-52.
  8. Marek L, Tucek P, Paszto V (2015). Using geovisual analytics in Google Earth to understand disease distribution: a case study of campylobacteriosis in the czech republic (2008-2012). Int J Health Geogr, 14, 7.
  9. Parkin DM, Ohshima H, Srivatanakul P, Vatanasapt V (1993). Cholangiocarcinoma: epidemiology, mechanisms of carcinogenesis and prevention. Cancer Epidemiol Biomarkers Prev, 2, 537-44.
  10. Parkin DM (2006). The global health burden of infectionassociated cancers in the year 2002. Int J Cancer, 118, 3030-44.
  11. Poomphakwaen K, Promthet S, Kamsa-ard S, et al (2009). Risk factors for cholangiocarcinoma in KhonKaen, Thailand: A nested case-control study. Asian Pac J Cancer Prev, 10, 251-7.
  12. Shin HR, Oh JK, Masuyer E, et al (2010). Epidemiology of cholangiocarcinoma: An update focusing on risk factors. Cancer Sci, 101, 579-85.
  13. Sripa B, Yongvanit P, Pairojkul CH (2005). Etiology and pathogenesis cholangiocarcinoma: introduction to the association with liver fluke infection. Srinagarind Med J, 20, 122-34.
  14. Sripa B, Pairojkul C (2008). Cholangiocarcinoma: lessons from Thailand. Curr Opin Gastroenterol, 24, 349-56.
  15. Sripa B, Bethony JM, Sithithaworn P, et al (2011). Opisthorchiasis and Opisthorchis-associated cholangiocarcinoma in Thailand and Laos. Acta Trop, 120, 158-68.
  16. Su C, Tsay S, Wu C, et al (1996). Factors influencing postoperative morbidity, mortality, and survival after resection for hilar cholangiocarcinoma. Ann Surg, 223, 384-94.
  17. Thunyaharn N, Promthet S, Wiangnon S, et al (2013). Survival of cholangiocarcinoma patients in northeastern Thailand after supportive treatment. Asian Pac J Cancer Prev, 14, 7029-32.
  18. Wang WC, Zhan T, Zhu YF (2014) A manufacture method of schistosomiasis epidemic maps based on Google Earth. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi, 26, 96-8.

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