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A STOCHASTIC EQUATION-BASED MODEL OF THE VALUE OF INTERNATIONAL AIR-TRAVEL RESTRICTIONS FOR CONTROLLING PANDEMIC FLU

机译:基于随机方程式的控制流感控制的国际空中旅行限制价值

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International air travel can be an important contributing factor to the global spread of infectious diseases, as evidenced by the outbreak of Severe Acute Respiratory Syndrome in 2003. Restrictions on air travel may therefore be one response to attempt to control a widespread epidemic of a disease such as influenza. We present results from a stochastic, equation-based, global epidemic model which suggest that air travel restrictions often provide only a slight delay in the epidemic. This delay may give valuable time in which to implement other disease control strategies; however, if other strategies are not implemented, the use of travel restrictions alone may lead to a more severe epidemic than if they had not been imposed. Our results also indicate that the particular network of cities chosen for modeling can have a great influence on the model results.
机译:国际航空旅行可能是全球传染病传播的重要因素,这是由于2003年严重急性呼吸综合征的爆发所证明的。因此,对航空旅行的限制可能是试图控制疾病普遍流行的一种反应作为流感。我们提出了一种随机,公式,全局疫情模型的结果,表明空中旅行限制往往仅提供疫情的轻微延迟。这种延迟可以给出有宝贵的时间来实现其他疾病控制策略;但是,如果没有实施其他策略,则单独使用旅行限制可能会导致更严重的流行病,而不是如果没有施加。我们的结果还表明,为建模选择的特定城市网络可能对模型结果产生很大影响。

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