Physics Department, Institute for Advanced Studies in Basic Sciences, 45195-1159 Zanjan, Iran.
Istituto dei Sistemi Complessi (ISC-CNR), via dei Taurini 19, I-00185 Rome, Italy.
Phys Rev E. 2020 Jun;101(6-1):062306. doi: 10.1103/PhysRevE.101.062306.
We study the interaction between epidemic spreading and a vaccination process. We assume that, similar to the disease spreading, the vaccination process also occurs through direct contact, i.e., it follows the standard susceptible-infected-susceptible (SIS) dynamics. The two competing processes are asymmetrically coupled as vaccinated nodes can directly become infected at a reduced rate with respect to susceptible ones. We study analytically the model in the framework of mean-field theory finding a rich phase diagram. When vaccination provides little protection toward infection, two continuous transitions separate a disease-free immunized state from vaccinated-free epidemic state, with an intermediate mixed state where susceptible, infected, and vaccinated individuals coexist. As vaccine efficiency increases, a tricritical point leads to a bistable regime, and discontinuous phase transitions emerge. Numerical simulations for homogeneous random networks agree very well with analytical predictions.
我们研究了传染病传播和疫苗接种过程之间的相互作用。我们假设,类似于疾病传播,疫苗接种过程也通过直接接触发生,即它遵循标准的易感-感染-易感(SIS)动力学。这两个竞争过程是不对称耦合的,因为接种疫苗的节点相对于易感节点可以以较低的速率直接感染。我们在平均场理论的框架内对模型进行了分析,发现了一个丰富的相图。当疫苗接种对感染的保护作用很小时,两个连续的转变将无病免疫状态与无疫苗流行状态分开,中间存在一个混合状态,其中易感、感染和接种疫苗的个体共存。随着疫苗效率的提高,三叉点导致双稳态,出现不连续的相变。同质随机网络的数值模拟与分析预测非常吻合。