The Interaction of Emergency Management Information in Stages of Covid-19 Based on Big Data, in Chaina

Abstract

With an unknown cause had been diagnosed as the novel coronavirus pneumonia, covid-19 presented more uncertainty and new symptoms that were difficult to detect. The evolution and interaction of information from medical institutions, the governments, the public and the media in emergencies are worthy of attention and research. Therefore, this article aims to construct an information analysis framework of COVID-19 from five dimensions, including the epidemic itself and the medical, governmental, public, and media responses by using big data to track and focus on the process and mechanism of how the development of epidemic information, medical treatment and public health protection, the governmental response, public concern and participation, and media communication have evolved and interacted with each other in different stages of covid-19. Data visualization and Text analysis were employed to filter subfactors and factors. From regression analysis of Hypotheses test, the author conducted line regression model with multiple variables to explore the interactions of one factor of the five dimensions to the other four factors of the five dimensions of emergency management information. also covid19 new cases in the four stages of covid-19: prevention, preparation, response, recovery that the emergency management information was close connected with the stages of epidemic. Research result shows that the interaction of the five dimensions of emergency management information and covid19 new cases were linear related by stages of epidemic at the first time to explore, the foundlings of the study expressed the weakness of current emergency management information, which pointed out the what need to be improved.