Abstract
This paper formulates an analytical framework to understand the spatiotemporal patterns of epidemic disease occurrence, its relevance and implications to economic activity, their impact on the vulnerability of different populations, and to develop public health policy decisions on disease prevention issues. The paper suggests a paradigm shift: a new multidimensional geometric approach to capture all symmetrical and asymmetrical strategic graphical movements in real space and time. The Networks Infection Contagious Diseases Positioning System (NICDP-System) extends the traditional two-dimensional graphical representation into a multidimensional graphical framework that synchronizes the optimal virus behavior in real-time. The model investigates the epidemic 2019 novel coronavirus (COVID-19) identified in Wuhan City, Hubei Province, China.
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