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Increasingly, software tools that integrate specialist statistical methodologies and spatial analysis are being developed for use in epidemiology and public health.
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We utilised Bayesian methodology and spatial genetic landscapes to establish broad-scale patterns and show that the western CFR is a contact zone for several clades in all three taxa, supporting the hypothesis of phylogeographic congruence.
We also develop new methodologies to quantify temporal and spatial trends in resource status and fishery development.
To understand the neural processing underpinnings of deception, this study employed both neuroimaging (functional magnetic resonance imaging, fMRI) and neurophysiological (event-related potential, ERP) methodologies to examine the temporal and spatial coupling of the neural correlates and processes that occur when one lies about face familiarity.
In the present work, we use a case-control methodology to analyse both behavioural and spatial risk factors for HAT in an endemic area.
The theory and methodology for spatial stochastic simulation is still undergoing extensive development, and no single mathematical modeling framework or method has emerged as a de facto standard.
The evaluation is addressed from socio-economic and spatial perspectives, and the methodology is based on a comparative analysis of some key indicators.
This paper introduces a framework that tackles the costs in area and energy consumed by methodologies like spatial or temporal redundancy with a different approach: given an algorithm, we find a transformation in which part of the computation involved is transformed into memory accesses.
This paper introduces a new methodology and a rainfall spatial organisation index to examine the relative role of hillslope and channel residence times in the analysis of the significance of spatial rainfall representation in catchment flood response modelling.
Also, in order to analyse and evaluate the most used geostatistical methodologies for spatial data interpretation the complex coastal aquifer of Hersonissos in Crete was chosen and a groundwater simulation model was developed.
Our work is amongst the few to address spatial modelling of Entomology inoculation rate (EIR) based on sparse data by applying current Bayesian methodologies approximating spatial processes for large data.
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