Analysis of Spatial Epidemic Characteristics of Liver Cancer in Small Geographical Area
Journal of Cancer Treatment and Research
Volume 8, Issue 1, March 2020, Pages: 10-17
Received: Dec. 17, 2019;
Accepted: Jan. 3, 2020;
Published: Jan. 13, 2020
Views 570 Downloads 174
Jing Qu, Yantai Longkou County Center for Disease Control and Prevention, Yantai, China;Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, China
Haiyun Liu, Yantai Center for Disease Control and Prevention, Yantai, China
Jian Xue, Yantai Center for Disease Control and Prevention, Yantai, China
Jianjun Xu, Yantai Center for Disease Control and Prevention, Yantai, China
Maobo Wang, Yantai Center for Disease Control and Prevention, Yantai, China
Fuzhong Xue, Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, China
Follow on us
Background: At present, the spatial studies of liver cancer are too large for observation, or lack systematic spatial epidemics and statistical analyses, so it is difficult to put forward more targeted regional prevention and control measures. This study takes the natural village of Longkou City, Shandong as a small regional research unit, to systematically analyze the spatial structure and spatial heterogeneity of liver cancer in the small region (village as a unit), and provide a scientific basis for the development of regional prevention and control measures for more targeted liver cancer and its related diseases. Methods: Based on the database of the integrated management information system for chronic diseases and death monitoring in Shandong Center for Disease Control and Prevention, the spatial epidemiology and spatial statistics methods were combined in the framework of geographic information system (GIS). Results: The results of spatial distribution showed that there was obvious spatial heterogeneity on liver cancer in Longkou City, and there were many high incidence and high death areas scattered in the distribution. The spatial scanning and space-time scanning results of liver cancer showed that there were relatively fixed high incidence and high death villages in the small area of Longkou City. Conclusion: This study suggests that the liver cancer in Longkou City has a local geographic risk factor, which may have obvious high incidence area, and time factors have a certain influence on the space area of liver cancer. It is necessary to further carry out the geographical weight regression and risk factors analysis, and expand the study model.
Small Geographical Area, Liver Cancer, Spatial Epidemiology
To cite this article
Analysis of Spatial Epidemic Characteristics of Liver Cancer in Small Geographical Area, Journal of Cancer Treatment and Research.
Vol. 8, No. 1,
2020, pp. 10-17.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Doll R (1967). Prevention of Cancer: Pointers from Epidemiology [M]. London: Nuffeld Provincial Hospitals Trust.
Bing Li, Junyao Li. Death and distribution characteristics of malignant tumors in China [J]. Chinese Journal of oncology, 1980, 2 (1): 1.
SinoMaps Press. The Editoarial Committee for the Atlas of Cancer Mortality in the People's Republic of China. Atlas of cancer mortality in the People's Republic of China [M]. Beijing, China, 1979: 40-46.
Wanqing Chen, Xiaonong Zou, Siwei Zhang. Geographical distribution of mortality of liver cancer in China [J]. Journal of Practical Oncology, 2008, 22 (9): 201-203.
Min Weng, Wanyi Li, Shiliang Su, Zhongliang Cai. Study on the spatial pattern of the incidence of liver cancer from the perspective of social deprivation -- Taking Shenzhen as an example of [J]. Modern preventive medicine, 2016, 43 (8): 1355-1358.
Zhang W, Wang L, Fang L, et al. Spatial analysis of malaria in Anhui province, China [J]. Malar J, 2008, 7: 206.
Ruihong Liu. Spatial epidemiological characteristics and risk factors of stroke in small areas [D]. Jinan: Shandong University, 2016.
MKF. A spatial scan statistic [J]. Communications in Statistics: Theory and Methods, 1997, 26: 1481-1496.
Luc A. Local indicators of spatial association-LISA [Z]. 1995: 27, 93-115.
Areias C, Briz T, Nunes C. Pulmonary tuberculosis space-time clustering and spatial variation in temporal trends in Portugal, 2000-2010: an updated analysis [J]. Epidemiol Infect, 2015, 143 (15): 3211-3219.
Bellec S, Hemon D, Rudant J, et al. Spatial and space-time clustering of childhood acute leukaemia in France from 1990 to 2000: a nationwide study [J]. Br J Cancer, 2006, 94 (5): 763-770.
Yiannakoulias N. Using population attributable risk to understand geographic disease clusters [J]. Health Place, 2009, 15 (4): 1142-1148.
Wild CP (2012). The role of cancer research in noncommunicable disease control [J]. Natl Cancer Inst, 104: 1051–1058. http://dx.doi.org/10.1093/jnci/djs262.
Aiqiang Xu, Fuzhong Xue, Xiaolei Guo, Jiandong Sun. Status of malignant tumor death and its spatial epidemiology in Shandong Province [M]. Jinan: Shandong Science and Technology Press, 2015 (1): 50.
McGlynn KA, et al (2005). Epidemiology and natural history of hepatocellular carcinoma [J]. Best Practice & Research in Clinical Gastroenterology, 19 (1): 3-23.
E1-Serag HB. Epidemiology of viral hepatitis and hepatocellular carcinoma [J]. Gastroenterology, 2012, 142 (6): 1264-1273. DOI: 10.1053/j.gastro.2011.12.061.