Identification and Mapping of Dengue Epidemics using GISBased Multi-Criteria Decision Making.The Case of Delhi, India

S. Sahdev, Manish Kumar
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引用次数: 2

Abstract

The identification and mapping ofdengue epidemics is one of the critical issues in providing better health services and policy development. In this process, multiple physiographic and socio-economic criteria have been taken into consideration. The proposed approach of this paper is to provide a framework for integrating the strengths of Geographic Information System (GIS) based Multi-Criteria Decision-Making (MCDM) to reach the most appropriate spatial solutions for the decision-makers. In this paper, the National Capital Territory (NCT) of Delhi was considered for mapping the potential sites for the development of dengue epidemics. For this purpose, various thematic layers were prepared using QGIS software. Five parameters (spatial analysis of Dengue Cases, land surface temperature, landfill sites, water logging, land use/land cover) were examined for mapping dengue epidemics vulnerable zones. The final dengue epidemics vulnerability assessment map reveals that the study area was divided into three different vulnerability regions namely high vulnerable regions - 326.24 sq.km (20.55%), moderate vulnerable regions - 674.25 sq.km (42.48%) and low vulnerable regions - 586.56 sq.km (36.95%). In this paper, the integrated approach of GIS based MCDM is showcased as a major contribution towards the development of effective health care management system (HCMS). This study also provides a new approach for decision-makers in order to decrease the spatial extent of this chronic disease and also reduce the human health hazard.
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利用基于地理信息系统的多标准决策来识别和绘制登革热疫情地图--以印度德里为例
登革热流行病的识别和绘图是提供更好的医疗服务和制定政策的关键问题之一。在这一过程中,需要考虑多种地理和社会经济标准。本文提出的方法是提供一个框架,整合基于地理信息系统(GIS)的多标准决策(MCDM)的优势,为决策者提供最合适的空间解决方案。本文考虑在德里国家首都区(NCT)绘制登革热疫情发展的潜在地点图。为此,使用 QGIS 软件制作了各种专题图层。在绘制登革热流行病易发区地图时,对五个参数(登革热病例空间分析、地表温度、垃圾填埋场、水涝、土地利用/土地覆盖)进行了检查。最终的登革热疫情易发区评估图显示,研究区域被划分为三个不同的易发区,即高度易发区--326.24 平方公里(20.55%)、中度易发区--674.25 平方公里(42.48%)和低度易发区--586.56 平方公里(36.95%)。本文展示了基于地理信息系统的 MCDM 综合方法,该方法对开发有效的医疗保健管理系统 (HCMS) 做出了重大贡献。本研究还为决策者提供了一种新方法,以减少这种慢性疾病的空间范围,同时降低对人类健康的危害。
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来源期刊
CiteScore
2.10
自引率
14.30%
发文量
16
期刊介绍: Journal of Settlements and Spatial Planning (JSSP) is a biannual, peer-reviewed, open access journal, edited by the Centre for Research on Settlements and Urbanism, Faculty of Geography, Babeş-Bolyai University, Cluj-Napoca, ROMANIA. For the unrestricted access to potential subscribers all over the world the journal is published in English language and can be accessed electronically. The Journal of Settlements and Spatial Planning addresses mainly to geographers, young researchers and also to other specialists in adjacent fields of research that focus their attention on aspects related to settlements and spatial planning. On the other hand, it strongly encourages representatives of the public administration, who are responsible with the practical implementation of planning projects, to bring their contribution to the scientific field. Our journal seeks to publish original theoretical and applied research studies on a large range of subjects addressed to urban and rural settlements and spatial planning, as well as precise issues related to both of them. We welcome scholars to bring their contribution (original articles in basic and applied research, case studies) and increase interdisciplinary research on settlements and their spatial impact.
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