Research on the Influence of Information Diffusion on the Transmission of the Novel Coronavirus (COVID-19)

Lin Shanlang; Ma Chao; Lin Ruofei; Huang Junpei; Xu Ruohan; Yuan Aini

ctly affects the form of disease transmission, making the accurate parameterization of the media is the key (collison et al., 2014) . However, most of the current researches only focus on the development of the disease itself on the complex network, as well as the impact of protective measures on the spread of the disease. There are relatively few studies on the spread of disease-related information, and only a few of them are carried out through numerical simulation with the preconditions which are too idealized and too dependent on the setting of parameters. In addition, the model has just begun to consider how to combine the data from actual media reports (collison et al., 2015) , lacking the econometric analysis based on real-time data. In decade years, China's Internet has experienced unprecedented development, various online social media based on the Internet (such as major search engines, social networking sites, news sites, etc.) have been integrated into people's daily life, providing a broad platform for the dissemination of various information. Compared with the outbreak of SARS in 2003, the economic link between regions are increasingly close, and during the Spring Festival in China, the population flow is more frequent. Although the government has taken unprecedented measures to prevent and control the epidemic, and the official media and social media have timely released the latest epidemic information, the actual effect needs to be further tested. By combing and integrating the existing literature, we propose the hypothesis that information diffusion is helpful to curb the spread of new coronavirus.