Statistical Analysis of Common Respiratory Viruses Reveals the Binary of Virus-Virus Interaction
Lulu Zhang, Yan Xiao, Zichun Xiang, Lan Chen, Ying Wang, Xinming Wang, Xiaojing Dong, Lili Ren, Jianwei Wang
Abstract
Systematic quantitative assessment of the interactions between different respiratory viruses is pivotal for the prevention of infectious diseases and the development of vaccine strategies. Our data showed stable interactions among respiratory viruses at human population level, which are season irrelevant. Respiratory viruses could be divided into two panels according to their positive and negative correlations. One included influenza virus and respiratory syncytial virus, while the other included other common respiratory viruses. It showed negative correlations between the two panels. The asynchronous interference between influenza virus and β human coronaviruses significantly delayed the peak of β human coronaviruses epidemic. The binary property of the viruses indicated transient immunity induced by one kind of virus would play role on subsequent infection, which provides important data for the development of epidemic surveillance strategies.