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논문 기본 정보

자료유형
학술저널
저자정보
Kaewpitoon, Soraya J (Parasitic Disease Research Unit, Suranaree University of Technology) Rujirakul, Ratana (Parasitic Disease Research Unit, Suranaree University of Technology) Sangkudloa, Amnat (Geographic Information Technology Program, Faculty of Information Technology, Rajabhat Mahasarakham University) Kaewthani, Sarochinee (Geo-Informatics Program, Faculty of Science and Technology, Nakhon Ratchasima Rajabhat University) Khemplila, Kritsakorn (Environmental Technology Program, Nakhon Ratchasima Rajabhat University) Cherdjirapong, Karuna (Public Administration Program, Faculty of Humanities and social Science, Nakhon Ratchasima Rajabhat University) Kujapun, Jirawoot (Faculty of Public Health, Vongchavalitkul University) Norkaew, Jun (Faculty of Public Health, Vongchavalitkul University) Chavengkun, Wasugree (Faculty of Public Health, Vongchavalitkul University) Ponphimai, Sukanya (Faculty of Public Health, Vongchavalitkul University) Polsripradist, Poowadol (Nakhon Ratchasima Provincial Public Health Office) Padchasuwan, Natnapa (Faculty of Public Health, Khon Kaen University) Joosiri, Apinya (Parasitic Disease Research Unit, Suranaree University of Technology) Wakkhuwattapong, Parichart (Parasitic Disease Research Unit, Suranaree University of Technology) Loyd, Ryan A Matrakool, Likit Tongtawee, Taweesak Panpimanmas, Sukij Kaewpitoon, Natthawut
저널정보
아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제17권 제3호
발행연도
2016.1
수록면
1,433 - 1,436 (4page)

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Background: Cholangiocarcinoma (CCA), a major problem of health in Thailand, particularly in Northeastern and Northern regions, is generally incurable and rapidly lethal because of presentation in stage 3 or 4. Early diagnosis of stage 1 and 2 could allow better survival. Therefore, this study aimed to provide a distribution map of populations at risk for CCA in BuaYai district of Nakhon Ratchasima province, Northeast Thailand. Materials and Methods: A cross-sectional survey was carried out in 10 sub-districts and 122 villages, during June and November 2015. The populations at risk for CCA were screened using the Korat CCA verbal screening test (KCVST) and then risk areas were displayed by using Google map (GM). Results: A total of 11,435 individuals from a 26,198 population completed the KCVST. The majority had a low score of risk for CCA (1-4 points; 93.3%). High scores with 6, 7 and 8 points accounted for 1.20%, 0.13% and 0.02%. The population at risk was found frequently in sub-district municipalities, followed by sub-district administrative organization and town municipalities, (F=396.220, P-value=0.000). Distribution mapping comprised 11 layers: 1, district; 2, local administrative organization; 3, hospital; 4, KCVST opisthorchiasis; 5, KCVST praziquantel used; 6, KCVST cholelithiasis; 7, KCVST raw fish consumption; 8, KCVST alcohol consumption; 9, KCVST pesticide used; 10, KCVST relative family with CCA; and 11, KCVST naive northeastern people. Geovisual display is now available online. Conclusions: This study indicated that the population at high risk of CCA in Bua Yai district is low, therefore setting a zero model project is possible. Key success factors for disease prevention and control need further study. GM production is suitable for further CCA surveillance and monitoring of the population with a high risk score in this area.

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