Coupling of remote sensing data and environmental-related parameters for dengue transmission risk assessment in Subang Jaya, Malaysia
Coupling of remote sensing data and environmental-related parameters for dengue transmission risk assessment in Subang Jaya, Malaysia
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DOI：
10.1080/10106049.2012.696726
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发表时间：
2013-06-01
影响因子：
3.8
通讯作者：
Pradhan, Biswajeet
中科院分区：
文献类型：
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作者：
Dom, Nazri Che;Ahmad, Abu Hassan;Pradhan, Biswajeet
在马来西亚，登革热（DF）的流行程度已经改变了发病率指标，过去几年这些发病率的程度已经超过了所有其他强制报告疾病的发病率。DF戏剧性出现的原因是复杂的，并没有得到很好的理解。有许多因素促成流行病学条件，有利于主要蚊子媒介的病毒传播。因此，本研究通过使用环境因素分析当地（苏邦查亚）规模登革热发病率的影响来填补这一空白。利用地理信息系统及其组成部分作为分析工具，综合了气象数据和土地使用模式。我们已经表明，天气变量（相对湿度，温度和降水量）与DF发病率有显着的相关性与季节变化。除土地利用类型外，DF发病率在居民区分布较高，其次是商业和工业区。这是由于住宅区的人口密度较高，以及住宅区，特别是单层房屋，是人类创造的携带登革热的伊蚊繁殖的有利场所。对不同住房类型DF发生率的趋势分析表明，与独立住房相比，受害者的住房大多属于互联住房和混合住房类型。分析结果表明，环境因素的每一个特征都有其对登革热发病率的风险。与此相一致，可以使用由该综合时间序列数据产生的知识和由不同分析提供的结果来开发DF传输的动态模型。
In Malaysia, the endemic level of dengue fever (DF) has already changed morbidity indicators, and the magnitude of these incidences in the last few years has surpassed the incidences of all other diseases of compulsory notification. The reasons for the dramatic emergence of DF are complex and not well understood. There are many factors that contribute to the epidemiological conditions that favour viral transmission by the main mosquito vector. This study, therefore, is filling this gap by analysing the impact of dengue incidence at a local (Subang Jaya) scale using environmental factors. Meteorological data and land-use pattern were consolidated using geographic information system (GIS) and its components as an analytical tool. We have shown that weather variables (relative humidity, temperature and precipitation) have significant correlation with DF incidence with seasonal variation. Besides land-use pattern, DF incidence shows the higher distribution in the residential area, followed by commercial and industrial area. This is due to the higher population density in residential area as well as favourable places for the breeding of dengue-carrying Aedes mosquitos created by humans in the residential area, especially one-storey houses. The analysis on the trends of DF incidence towards various housing types indicate that most of the victims' houses fall into interconnection houses and mixed houses types compared to the independent houses area. The outcome driven from this analysis suggested that each character of the environmental factors has their own risk towards dengue incidence. In line with that, it is possible to develop a dynamic model of DF transmission using the knowledge produced by this comprehensive time series data and the results provided by the different analyses.