Kaewpitoon Soraya J, Rujirakul Ratana, Loyd Ryan A, Matrakool Likit, Sangkudloa Amnat, Kaewthani Sarochinee, Khemplila Kritsakorn, Eaksanti Thawatchai, Phatisena Tanida, Kujapun Jirawoot, Norkaew Jun, Joosiri Apinya, Kaewpitoon Natthawut
Parasitic Disease Research Unit, Suranaree University of Technology, Nakhon Ratchasima, Thailand E-mail :
Asian Pac J Cancer Prev. 2016;17(2):719-22. doi: 10.7314/apjcp.2016.17.2.719.
Cholangiocarcinoma (CCA) is a serious health problem in Thailand, particularly in northeastern and northern regions, but epidemiological studies are scarce and the spatial distribution of CCA remains to be determined. A database for the population at risk is required for monitoring, surveillance and organization of home health care. This study aim was to geo-visually display the distribution of CCA in northeast Thailand, using a geographic information system and Google Earth.
A cross-sectional survey was carried out in 9 sub-districts and 133 villages in Chum Phuang district, Nakhon Ratchasima province during June and October 2015. Data on demography, and the population at risk for CCA were combined with the points of villages, sub-district boundaries, district boundaries, and points of hospitals in districts, then fed into a geographical information system. After the conversion, all of the data were imported into Google Earth for geo-visualization.
A total of 11,960 from 83,096 population were included in this study. Females and male were 52.5%, and 47.8%, the age group 41-50 years old 33.3%. Individual risk for CCA was identifed and classified by using the Korat CCA verbal screening test as low (92.8%), followed by high risk (6.74%), and no (0.49%), respectively. Gender (X2-test=1143.63, p-value= 0.001), age group (X2-test==211.36, p-value=0.0001), and sub-district (X2-test=1471.858, p-value=0.0001) were significantly associated with CCA risk. Spatial distribution of the population at risk for CCA in Chum Phuang district was viewed with Google Earth. Geo-visual display followed Layer 1: District, Layer 2: Sub-district, Layer 3: Number of low risk in village, Layer 4: Number of high risk in village, and Layer 5: Hospital in Chum Phuang District and their related catchment areas.
We present the first risk geo-visual display of CCA in this rural community, which is important for spatial targeting of control efforts. Risk appears to be strongly associated with gender, age group, and sub-district. Therefor, spatial distribution is suitable for the use in the further monitoring, surveillance, and home health care for CCA.
胆管癌（CCA）在泰国是一个严重的健康问题，特别是在东北部和北部地区，但流行病学研究较少，CCA的空间分布仍有待确定。需要一个高危人群数据库来进行家庭医疗保健的监测、监督和组织。本研究旨在利用地理信息系统和谷歌地球以地理可视化方式展示泰国东北部CCA的分布情况。
2015年6月至10月期间，在呵叻府春蓬区的9个分区和133个村庄进行了横断面调查。将人口统计学数据以及CCA高危人群数据与村庄点、分区边界、 district边界以及各分区医院的点相结合，然后输入地理信息系统。转换后，所有数据被导入谷歌地球进行地理可视化。
本研究共纳入了83096人中的11960人。女性和男性分别占52.5%和47.8%，年龄组为41 - 50岁的占33.3%。使用呵叻CCA语言筛查测试确定并分类了个体患CCA的风险，低风险（92.8%）、高风险（6.74%）和无风险（0.49%）。性别（X2检验=1143.63，p值=0.001）、年龄组（X2检验=211.36，p值=0.0001）和分区（X2检验=1471.858，p值=0.0001）与CCA风险显著相关。利用谷歌地球查看了春蓬区CCA高危人群的空间分布。地理可视化展示按照第1层：district、第2层：分区、第3层：村庄低风险人数、第4层：村庄高风险人数以及第5层：春蓬区医院及其相关集水区进行。
我们展示了这个农村社区中CCA的首个风险地理可视化展示，这对于控制措施的空间定位很重要。风险似乎与性别、年龄组和分区密切相关。因此，空间分布适用于CCA的进一步监测、监督和家庭医疗保健。
原文中district未明确中文释义，保留英文。
