Epidemiological Complex Networks: A Survey

In this review paper, several research studies were surveyed to assist future researchers identify available techniques in the field of infectious disease modeling across complex networks. Infectious modelling is becoming increasingly important because microbes and viruses that threaten people’s lives societies all respects. It has long been a focus many domains, including mathematical biology, physics, computer science, engineering, economics, social sciences, properly represent analyze spreading processes. This survey first presents brief overview previous literature some graphs equations clarify networks, detection their medical information, identification nodes, method communication with individuals spread, analysis transmission through methods over past century. Secondly, types epidemiological models networks extent impact on humans are presented.