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Epidemic spreading in localized environments with recurrent mobility patterns

机译:具有经常移动模式的本地环境中的疫情传播

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The spreading of epidemics is very much determined by the structure of the contact network, which may be impacted by the mobility dynamics of the individuals themselves. In confined scenarios where a small, closed population spends most of its time in localized environments and has easily identifiable mobility patterns-such as workplaces, university campuses, or schools-it is of critical importance to identify the factors controlling the rate of disease spread. Here, we present a discrete-time, metapopulation-based model to describe the transmission of susceptible-infected-susceptible-like diseases that take place in confined scenarios where the mobilities of the individuals are not random but, rather, follow clear recurrent travel patterns. This model allows analytical determination of the onset of epidemics, as well as the ability to discern which contact structures are most suited to prevent the infection to spread. It thereby determines whether common prevention mechanisms, as isolation, are worth implementing in such a scenario and their expected impact.
机译:流行病的扩展非常多于联系网络的结构,这可能受到个人自身的移动性动态的影响。在一个小型,封闭的人口在本地化环境中花费大部分时间的狭义情景中,并且具有易于识别的移动模式 - 例如工作场所,大学校园或学校 - 识别控制疾病率传播速率的因素至关重要。在这里,我们提出了一种离散时间,基于比例的模型,以描述在狭窄的情景中进行敏感感染的易感疾病的传播,其中个体的迁移率不是随机的,而是遵循明确的经常性旅行模式。该模型允许分析确定流行病的开始,以及辨别哪种接触结构最适合的能力,以防止感染传播。由此确定共同的预防机制,作为隔离机制是否值得在这种情况下实现,并在这种情况下实施。

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