spatial kernel density estimation model Search Results


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Kleijnen Systematic Reviews Ltd kriging method
<t>Spatial</t> <t>autocorrelation–Moran’s</t> I plotted on the study area map and overlaid with cutaneous leishmaniasis incidence in Qom province, central Iran during 2009–2017
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Spatial autocorrelation–Moran’s I plotted on the study area map and overlaid with cutaneous leishmaniasis incidence in Qom province, central Iran during 2009–2017

Journal: Journal of Parasitic Diseases: Official Organ of the Indian Society for Parasitology

Article Title: Spatio-temporal distribution analysis of zoonotic cutaneous leishmaniasis in Qom Province, Iran

doi: 10.1007/s12639-018-1036-5

Figure Lengend Snippet: Spatial autocorrelation–Moran’s I plotted on the study area map and overlaid with cutaneous leishmaniasis incidence in Qom province, central Iran during 2009–2017

Article Snippet: In order to investigate spatial variations of CL, the incidence of disease was calculated in all of 23 villages of the study years based on formula (Gordis 2009 ): Incidence = N u m b e r o f n e w c a s e s o c c u r i n g i n t h e p o p u l a t i o n i n a g i v e n p e r i o d o f t i m e N u m b e r o f p e o p l e e x p o s e d t o t h e r i s k o f t h e d i s e a s e i n t h e s a m e p e r i o d × 10 N Afterward, spatio-temporal analysis of the disease was performed using two analyzes: Kriging method and Spatial Moron correlation in GIS environment. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 1 caption a7 Incidence of cutaneous leishmaniasis incidence in the Qom province, central Iran, from 2009 to 2017 Kriging method is one of interpolation methods (Kleijnen 2009 ).

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