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乳腺癌的时空模式——以印度卡纳塔克邦南部为例的案例研究

Spatio-Temporal Pattern of Breast Cancer - Case Study of Southern Karnataka, India.

作者信息

Madhu Basavegowda, Srinath Kenkere Marulaiah, Rajendran Vidyalakshmi, Devi Marimuthu Prashanthi, Ashok Nagaralu Channabasappa, Balasubramanian Somanathan

机构信息

Associate Professor, Department of Community Medicine, JSS University , Mysuru, Karnataka, India .

Associate Professor, Department of Medicine, JSS Medical College and Hospital, JSS University , Mysuru, Karnataka, India .

出版信息

J Clin Diagn Res. 2016 Apr;10(4):LC20-4. doi: 10.7860/JCDR/2016/19042.7666. Epub 2016 Apr 1.

Abstract

INTRODUCTION

Spatio-ecological study of disease provides a framework to study the interaction of genetic, environmental, social, cultural and behavioural factors on people's health. The occurrence and interaction of these factors are different in different places, giving rise to distinct geographic or spatial variation. Diseases like breast cancer have variation both spatially and temporally. Public health practitioners can use Geographic Information System (GIS) as a visualization tool to effectively present geographic phenomenon and depict it in maps that might remain otherwise undiscovered in tabular form.

AIM

To demonstrate how GIS can be used to understand and communicate breast cancer data through spatial visualization techniques.

OBJECTIVES

(i) To visualize the Spatial Distribution of Breast cancer incidences by a point map. (ii) To visualize the Temporal distribution of breast cancer incidences by thematic maps for the study period of 2007 -2011.

MATERIALS AND METHODS

Total 1090 breast cancer case records collected for the year 2007-2012 were segregated taluk wise for the 29 taluks and geocoded using the address of the patient, creating a point map. ArcGIS 10.2 software was used to prepare thematic map of breast cancer cases. The taluk wise aggregated breast cancer incidence from the year 2007 to 2011 was then attributed into polygon map representing taluks (Base Map). Natural break data classification technique was used to classify the breast cancer incidence data and breast cancer incidences were classified as low, moderate, high and very high.

RESULTS

Spatial distribution of breast cancer incidences using thematic mapping methods high incidences were reported in MY_ T24 (Hunsur), MY_ T25 (KR Nagar), MY_27 (Nanjangud), CH_T1 (Chamrajnagar) and CH-T2 (Gundlupet). Temporal maps prepared for the study from 2007 to 2011 showed that Mysore Taluk had very high Incidence level and the same was observed throughout the study period. The taluks which have high and moderate intensities seem to be fluctuating. However, 25 taluks do not fall into very high category during the study period. Taluks such Gundlupet (CH_T2), K R Nagar (MY_T25), Kollegal (CH_T3) have been observed to enter high intensity category during the year 2011 from moderate intensity. It is also observed that Nanjangud (MY_T27) is in high intensity category throughout the study period which might be due to its proximity to Mysore urban.

CONCLUSION

Analysis of Breast Cancer in southern Karnataka using GIS has revealed that urban areas of Mysore has the highest risk of breast cancer and the temporal trends reveal that even rural areas with moderate risk are moving towards high risk areas.

摘要

引言

疾病的空间生态学研究提供了一个框架,用于研究遗传、环境、社会、文化和行为因素对人们健康的相互作用。这些因素的发生和相互作用在不同地方有所不同,从而产生了明显的地理或空间差异。像乳腺癌这样的疾病在空间和时间上都存在差异。公共卫生从业者可以使用地理信息系统(GIS)作为可视化工具,有效地呈现地理现象,并将其描绘在地图上,而这些现象以表格形式可能难以发现。

目的

展示如何使用GIS通过空间可视化技术来理解和传达乳腺癌数据。

目标

(i)通过点图可视化乳腺癌发病率的空间分布。(ii)通过专题地图可视化2007 - 2011年研究期间乳腺癌发病率的时间分布。

材料与方法

收集了2007 - 2012年的1090例乳腺癌病例记录,按29个行政区进行分区,并使用患者地址进行地理编码,创建点图。使用ArcGIS 10.2软件绘制乳腺癌病例的专题地图。然后将2007年至2011年各行政区汇总的乳腺癌发病率归因到代表行政区的多边形地图(底图)上。使用自然间断点数据分类技术对乳腺癌发病率数据进行分类,将乳腺癌发病率分为低、中、高和非常高四类。

结果

使用专题制图方法显示,MY_T24(洪苏尔)、MY_T25(KR纳加尔)、MY_27(南詹古德)、CH_T1(占姆拉杰讷格尔)和CH - T2(贡德鲁佩特)报告了高发病率。为2007年至2011年研究绘制的时间地图显示,迈索尔行政区发病率非常高,且在整个研究期间都是如此。发病率高和中等强度的行政区似乎在波动。然而,在研究期间,有25个行政区不属于非常高的类别。观察到贡德鲁佩特(CH_T2)、KR纳加尔(MY_T25)、科勒格尔(CH_T3)等行政区在2011年从中等强度进入高发病强度类别。还观察到南詹古德(MY_T27)在整个研究期间都处于高发病强度类别,这可能是由于其靠近迈索尔市区。

结论

使用GIS对卡纳塔克邦南部的乳腺癌进行分析表明,迈索尔市区乳腺癌风险最高,时间趋势显示,即使是中等风险的农村地区也在向高风险地区转变。

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