@article{(Open Science Index):https://publications.waset.org/pdf/10001120,
	  title     = {Spatial-Temporal Clustering Characteristics of Dengue in the Northern Region of Sri Lanka, 2010-2013},
	  author    = {Sumiko Anno and  Keiji Imaoka and  Takeo Tadono and  Tamotsu Igarashi and  Subramaniam Sivaganesh and  Selvam Kannathasan and  Vaithehi Kumaran and  Sinnathamby Noble Surendran},
	  country	= {},
	  institution	= {},
	  abstract     = {Dengue outbreaks are affected by biological,
ecological, socio-economic and demographic factors that vary over
time and space. These factors have been examined separately and still
require systematic clarification. The present study aimed to investigate
the spatial-temporal clustering relationships between these factors and
dengue outbreaks in the northern region of Sri Lanka. Remote sensing
(RS) data gathered from a plurality of satellites were used to develop
an index comprising rainfall, humidity and temperature data. RS data
gathered by ALOS/AVNIR-2 were used to detect urbanization, and a
digital land cover map was used to extract land cover information.
Other data on relevant factors and dengue outbreaks were collected
through institutions and extant databases. The analyzed RS data and
databases were integrated into geographic information systems,
enabling temporal analysis, spatial statistical analysis and space-time
clustering analysis. Our present results showed that increases in the
number of the combination of ecological factor and socio-economic
and demographic factors with above the average or the presence
contribute to significantly high rates of space-time dengue clusters.
},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {9},
	  number    = {5},
	  year      = {2015},
	  pages     = {438 - 441},
	  ee        = {https://publications.waset.org/pdf/10001120},
	  url   	= {https://publications.waset.org/vol/101},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 101, 2015},
	}