Xu Qichao, Su Zhou, Zhang Kuan, Yu Shui
School of Mechatronic Engineering and AutomationShanghai University Shanghai 200072 China.
School of Cyber Science and EngineeringXi'an Jiaotong University China.
IEEE Internet Things J. 2021 Feb 26;8(22):16473-16485. doi: 10.1109/JIOT.2021.3062288. eCollection 2021 Nov 15.
The infectious disease presents great hazards to public health, due to their high infectivities and potential lethalities. One of the effective methods to hinder the spread of infectious disease is vaccination. However, due to the limitation of resource and the medical budget, vaccinating all people is not feasible in practice. Besides, the vaccinating effects are difficult to be timely observed through traditional ways, such as outpatient services. To tackle the above problems, we propose an e-healthcare mobile social Internet of Things (MSIoTs)-based targeted vaccination scheme to fast contain the spread of the infectious disease. Specifically, we first develop an e-healthcare MSIoT architecture by integrating the e-healthcare system and MSIoTs, whereby the spread status of the infectious disease is timely collected. Furthermore, a graph coloring and spreading centrality-based optional candidate searching algorithm is devised to hunt for the candidates that are powerfully capable of preventing infectious disease. Especially, in order to reduce the vaccination cost, we design an optimal vaccinated target selection algorithm to choose a minimum number of targets whose locations are differentially distributed. Extensive simulations demonstrate that the proposed scheme can effectively prevent infectious disease as compared to conventional schemes.
传染病因其高传染性和潜在致死性对公众健康构成巨大危害。阻碍传染病传播的有效方法之一是接种疫苗。然而，由于资源和医疗预算的限制，在实际中为所有人接种疫苗是不可行的。此外，通过传统方式（如门诊服务）很难及时观察到接种效果。为了解决上述问题，我们提出一种基于电子医疗移动社会物联网（MSIoT）的靶向疫苗接种方案，以快速遏制传染病的传播。具体而言，我们首先通过整合电子医疗系统和MSIoT开发了一种电子医疗MSIoT架构，借此及时收集传染病的传播状况。此外，设计了一种基于图着色和传播中心性的可选候选搜索算法，以寻找有强大能力预防传染病的候选对象。特别是，为了降低疫苗接种成本，我们设计了一种最优接种目标选择算法，以选择数量最少且位置分布有差异的目标。大量模拟表明，与传统方案相比，所提方案能够有效预防传染病。
