IFITMs Restrict the Replication of Multiple Pathogenic Viruses

The interferon-inducible transmembrane protein (IFITM) family inhibits a growing number of pathogenic viruses, among them influenza A virus, dengue virus, hepatitis C virus, and Ebola virus. This review covers recent developments in our understanding of the IFITM's molecular determinants, potential mechanisms of action, and impact on pathogenesis.     

On the dynamics of SEIRS epidemic model with transport-related infection

Transportation amongst cities is found as one of the main factors which affect the outbreak of diseases. To understand the effect of transport-related infection on disease spread, an SEIRS (Susceptible, Exposed, Infectious, Recovered) epidemic model for two cities is formulated and analyzed. The epidemiological threshold, known as the basic reproduction number, of the model is derived. If the basic reproduction number is below unity, the disease-free equilibrium is locally asymptotically stable. Thus, the disease can be eradicated from the community. There exists an endemic equilibrium which is locally asymptotically stable if the reproduction number is larger than unity. This means that the disease will persist within the community. The results show that transportation among regions will change the disease dynamics and break infection out even if infectious diseases will go to extinction in each isolated region without transport-related infection. In addition, the result shows that transport-related infection intensifies the disease spread if infectious diseases break out to cause an endemic situation in each region, in the sense of that both the absolute and relative size of patients increase. Further, the formulated model is applied to the real data of SARS outbreak in 2003 to study the transmission of disease during the movement between two regions. The results show that the transport-related infection is effected to the number of infected individuals and the duration of outbreak in such the way that the disease becomes more endemic due to the movement between two cities. This study can be helpful in providing the information to public health authorities and policy maker to reduce spreading disease when its occurs.     

以兽类为例探讨我国陆生野生动物疫病监管中面临的问题与对策

近年来, 新型冠状病毒、SARS病毒和鼠疫等新发和再发性动物源疫病多是由兽类及其媒介携带的病原生物直接或间接感染而引发的, 不仅对人类健康和生态系统平衡造成了重大威胁, 而且威胁全球公共卫生安全、粮食安全和生物安全。结合我国重要陆生兽类疫源疫病发生的新情况和新特点, 本文重点总结了我国以陆生野生及非野生兽类(家畜为主)为重点的24种重要人兽共患病的监管情况, 并对这些疫源疫病的监管空缺进行了分析。由于病原生物的种类多及其感染传播方式多样, 我国人间和动物间疫情呈现多发态势, 新发和再发疫病防控面临严峻挑战。从目前情况来看, 我国重要野生动物疫源疫病呈现为多部门、多层监管的局面。全球化贸易剧增、非法猎杀、非法交易、违法违规养殖、滥食野生动物陋习、检疫环节失察等导致了当前我国野生动物疫源疫病的传染源头和传播链错综复杂, 加剧了人类与野生动物所携带的病原接触、感染和传播的风险。极端气候或灾害事件频发以及对新发再发传染病的认知不足导致难以从源头做好疫病防控。针对上述问题, 本文提出了从源头加强基础研究和全链条监管来积极防范陆生野生动物疫病疫情的对策和建议。     

Human mobility patterns predict divergent epidemic dynamics among cities

The epidemic dynamics of infectious diseases vary among cities, but it is unclear how this is caused by patterns of infectious contact among individuals. Here, we ask whether systematic differences in human mobility patterns are sufficient to cause inter-city variation in epidemic dynamics for infectious diseases spread by casual contact between hosts. We analyse census data on the mobility patterns of every full-time worker in 48 Canadian cities, finding a power-law relationship between population size and the level of organization in mobility patterns, where in larger cities, a greater fraction of workers travel to work in a few focal locations. Similarly sized cities also vary in the level of organization in their mobility patterns, equivalent on average to the variation expected from a 2.64-fold change in population size. Systematic variation in mobility patterns is sufficient to cause significant differences among cities in infectious disease dynamics—even among cities of the same size—according to an individual-based model of airborne pathogen transmission parametrized with the mobility data. This suggests that differences among cities in host contact patterns are sufficient to drive differences in infectious disease dynamics and provides a framework for testing the effects of host mobility patterns in city-level disease data.     

Optimal intervention for an epidemic model under parameter uncertainty

We will be concerned with optimal intervention policies for a continuous-time stochastic SIR (susceptible-->infective-->removed) model for the spread of infection through a closed population. In previous work on such optimal policies, it is common to assume that model parameter values are known; in reality, uncertainty over parameter values exists. We shall consider the effect upon the optimal policy of changes in parameter estimates, and of explicitly taking into account parameter uncertainty via a Bayesian decision-theoretic framework. We consider policies allowing for (i) the isolation of any number of infectives, or (ii) the immunisation of all susceptibles (total immunisation). Numerical examples are given to illustrate our results.     

On a Nonautonomous SEIRS Model in Epidemiology

In this paper, we derive some threshold conditions for permanence and extinction of diseases that can be described by a nonautonomous SEIRS epidemic model. Under the quite weak assumptions, we establish some sufficient conditions to prove the permanence and extinction of disease. Some new threshold values are determined.     

Age-structured homogeneous epidemic systems with application to the MSEIR epidemic model

In this paper, we develop a new approach to deal with asymptotic behavior of the age-structured homogeneous epidemic systems and discuss its application to the MSEIR epidemic model. For the homogeneous system, there is no attracting nontrivial equilibrium, instead we have to examine existence and stability of persistent solutions. Assuming that the host population dynamics can be described by the stable population model, we rewrite the basic system into the system of ratio age distribution, which is the age profile divided by the stable age profile. If the host population has the stable age profile, the ratio age distribution system is reduced to the normalized system. Then we prove the stability principle that the local stability or instability of steady states of the normalized system implies that of the corresponding persistent solutions of the original homogeneous system. In the latter half of this paper, we prove the threshold and stability results for the normalized system of the age-structured MSEIR epidemic model.      

猪流行性腹泻病毒单克隆抗体及其抗原表位的研究进展

猪流行性腹泻(Porcine epidemic diarrhea,PED)是由猪流行性腹泻病毒(PED virus,PEDV)引起的一种严重危害养猪生产的常见疫病。近年来,由于新的PEDV变异毒株的出现,许多国家的养猪业遭受了巨大的经济损失。PEDV也因此受到更多关注,关于PEDV的研究报道也日渐增多。基于国内外有关PEDV的最新研究进展,本文系统归纳和分析了PEDV结构蛋白和非结构蛋白单克隆抗体以及单克隆抗体识别的特异性抗原表位,以期为开发鉴别诊断方法和表位疫苗等提供信息。