Application of Spatial Analysis to Cervical Cancer Incidence Rate and Mortality-The Case of Taiwan Area

碩士 === 世新大學 === 財務金融學研究所(含碩專班) === 95 === The issues of people’s life and health have been discussed widely in the recent years. People said that “Happy family and rich country must go after good health of the individual”. This saying also reveals the close relationship between health and society a...

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Bibliographic Details
Main Authors: Shiow-ying Chen, 陳琇瑩
Other Authors: none
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/58504718728120011902
Description
Summary:碩士 === 世新大學 === 財務金融學研究所(含碩專班) === 95 === The issues of people’s life and health have been discussed widely in the recent years. People said that “Happy family and rich country must go after good health of the individual”. This saying also reveals the close relationship between health and society as well as economy. Cancer has become the first place of “Ten Leading Cause of Death” continually in our country since 1982. According to the reports announced by the Department of Health, Executive Yuan, there is a significant raise in the number of female’s cancers. Among those cancers, the cervical cancer is the most common and the first place of incidence rate to the female’s cancer. Comparing to other female’s cancers, the mortality of cervical cancer is in the 5th position. However, cervical cancer is a kind of cancers which can be avoided to death. Though screening and treat in its early phase, cervical cancer will be decreased significantly to its rate of incidence as well as death. Because cervical cancer is a cancer which can be controlled and avoided, the studies related to the causes of and the treatment to the cervical cancer has been described sufficiently in lots of advanced researches. On the other hand, there is few research on its relationship between spatial and the mortality and incidence rate. That is the motive of this study. In additional to take the theory of spatial analysis to reveal the distribution and change of cervical cancer in the rates of incidence and mortality in Taiwan area, this study trying to provide relevant economic data and alternative variables as the establish of hypothesis. Hopping the result of this study will provide another social and economic stand point other than the main stream on the research of medical and pathology. Furthering, this study will provide references not only to the National Health Policy but also to the household expenditure on health, medical treatment and insurance. This study is based on the cervical cancer age-standardized incidence rate and mortality and the variables which influences age-standardized incidence rate and mortality in Taiwan area during 1991 to 2005. Every 5 years as a period, there are 3 check points in this tenure. They are Year 1990 to 1995, Year 1996 to 2000, and Year 2001 to 2005. The spatial distributions and changes in the individual township and city will be studied based upon these 5 time periods. The GeoDa software had been used to do the global spatial autocorrelation test and the local LISA spatial cluster map. Next, The ClusterSeer software had been used for advanced spatial autocorrelation test. Through different ways of spatial analysis to see if they come to the same result. Finally, preceding spatial regression analysis to compare and analyze the results generated by using traditional regression model, spatial lag model and spatial error model. The purpose is to find out the most appropriate spatial model to explain the factors of the cervical cancer age-standardized incidence rate and mortality. From this study, the cervical cancer age-standardized incidence rate and mortality is changed by different distribution in 359 townships and cities in Taiwan area between 3 periods of 1991 to 2005. Both Cervical cancer age-standardized incidence rate and mortality shows significantly spatial autocorrelation. There are close relations between township, and influence to one another. In the meantime, the cervical cancer age-standardized incidence rate is not only influenced by the ratio of senior female and above high school education. Both free flow of information and implementation of preventive health behavior also influence the results significantly. Age-standardized mortality is influenced by per capita income, senior female population ratio, general fertility level and the level of education.