Dmitri Boris Kuznetsov

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Global disease suitability models are essential tools to inform surveillance systems and enable early detection. We present the first global suitability model of highly pathogenic avian influenza (HPAI) H5N1 and demonstrate that reliable predictions can be obtained at global scale. Best predictions are obtained using spatial predictor variables describing(More)
The highly pathogenic avian influenza (HPAI) H5N1 virus has been circulating in Asia since 2003 and diversified into several genetic lineages, or clades. Although the spatial distribution of its outbreaks was extensively studied, differences in clades were never previously taken into account. We developed models to quantify associations over time and space(More)
This dissertation includes three topics in the transient analysis of linear systems: indirect numerical integration, difference approximation, and circuit simulation of transmission lines. Indirect numerical integration is a new class of numerical integration methods with ideal accuracy, convergence and stability properties. The methods are based on a novel(More)
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