globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0166806
论文题名:
Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks
作者: PDNN Sirisena; Faseeha Noordeen; Harithra Kurukulasuriya; Thanuja ALAR Romesh; LakKumar Fernando
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2017
发表日期: 2017-1-9
卷: 12, 期:1
语种: 英语
英文关键词: Humidity ; Sri Lanka ; Geographic information systems ; Population density ; Infectious disease control ; Climate change ; Epidemiological statistics ; Forecasting
英文摘要: Dengue is one of the major hurdles to the public health in Sri Lanka, causing high morbidity and mortality. The present study focuses on the use of geographical information systems (GIS) to map and evaluate the spatial and temporal distribution of dengue in Sri Lanka from 2009 to 2014 and to elucidate the association of climatic factors with dengue incidence. Epidemiological, population and meteorological data were collected from the Epidemiology Unit, Department of Census and Statistics and the Department of Meteorology of Sri Lanka. Data were analyzed using SPSS (Version 20, 2011) and R studio (2012) and the maps were generated using Arc GIS 10.2. The dengue incidence showed a significant positive correlation with rainfall (p<0.0001). No positive correlation was observed between dengue incidence and temperature (p = 0.107) or humidity (p = 0.084). Rainfall prior to 2 and 5 months and a rise in the temperature prior to 9 months positively correlated with dengue incidence as based on the auto-correlation values. A rise in humidity prior to 1 month had a mild positive correlation with dengue incidence. However, a rise in humidity prior to 9 months had a significant negative correlation with dengue incidence based on the auto-correlation values. Remote sensing and GIS technologies give near real time utility of climatic data together with the past dengue incidence for the prediction of dengue outbreaks. In that regard, GIS will be applicable in outbreak predictions including prompt identification of locations with dengue incidence and forecasting future risks and thus direct control measures to minimize major outbreaks.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0166806&type=printable
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被引频次[WOS]:40   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25618
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka;Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka;Department of Earth Sciences, Postgraduate Institute of Science, University of Peradeniya, Peradeniya, Sri Lanka;Department of Mathematics, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka;Centre for Management of Dengue and Dengue Haemorrhagic Fever, General Hospital, Negombo, Sri Lanka

Recommended Citation:
PDNN Sirisena,Faseeha Noordeen,Harithra Kurukulasuriya,et al. Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks[J]. PLOS ONE,2017-01-01,12(1)
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