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APPLICATION OF GIS MODELING FOR DENGUE FEVER PRONE AREA BASED ON SOCIO-CULTURAL AND ENVIRONMENTAL FACTORS-A CASE STUDY OF DELHI CITY ZONE

机译:GIS建模在社会文化和环境因素的基于社会文化和环境因素的静态发烧地区的应用 - 以德里城区为例

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Affected area of Dengue risk based on socio-cultural, environmental factors and its possible spatial relationship was investigated in dengue prone area i.e. city zone of Delhi. Data were collected from all total no of 37 Dengue Confirm Samples (DCS) through interview out of 127 no. probable/suspected dengue incidence cases. Results indicate that out of thirty socio-economic and socio-cultural variables, six variables such as housing pattern/densities, frequency of cleaning of water storage containers, frequency of cleaning drainage/garbage, no of flower pot /home garden, mosquito protection measure/awareness and storage of water are significantly contributing for dengue incidences. These variables are highly correlated with incidence of Dengue Fever (DF)/Dengue Hemorrhagic Fever (DHF)/Dengue Shock Syndrome (DSS) and value of R2 equal to 0.996 when carried out the multiple regression analysis. Correlation and regression are appropriate technique to find significant social risk indicators contributing to dengue disease. Geographical Information System (GIS) modeling was done to generate risk map of dengue incidences, with four risk levels i.e. very high, high, medium and low social risks. Out of 127 suspected, probable and confirm cases, 112 no. of cases (88.2 %) of dengue cases found in very high risk zone with area coverage of 11.18 Km2 (39.4%). This risk zone map helps in implementing precautionary and preventive strategies and control incidences of dengue effectively.
机译:基于社会文化,环境因素及其可能的空间关系的登革热风险患处在新德里的登革热多发区,即城市区域进行了研究。数据来自37个登革热确认样品(DCS)通过面试的所有总没有收集到了127没有。可能/疑似登革热病例发生。结果表明,从三十社会经济和社会文化变量,六个变量,如住房模式/密度,清洁储水容器,频率,清洗排水/垃圾的频率,没有花盆/入户花园,蚊虫保护措施/水的意识和存储显著贡献的发病率登革热。这些变量高度登革热(DF)的发生率相关时进行多重回归分析/登革出血热(DHF)/登革休克综合征(DSS)和R2的值等于0.996。相关分析和回归是合适的技术,以找到造成登革热病显著的社会风险指标。地理信息系统(GIS)模型做的目的是产生登革热发病率的风险图,有四个风险等级,即非常高,高,中,低的社会风险。出的127怀疑,可能和确认的情况下,112没有。的登革热病例例(88.2%)的极高风险区发现11.18平方公里(39.4%)的区域覆盖。这种风险区地图有助于有效落实登革热的防范和预防策略和控制发病率。

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