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Two-mode complex network modeling of dengue epidemic in Selangor, Malaysia

机译:马来西亚雪兰莪州登革热流行的两种模式的复杂网络建模

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There are many examples of complex systems in the world. These systems are very difficult to analyze due to huge number of interacting elements and complex interaction patterns between the elements. These systems can be properly analyzed by converting them into complex networks, where nodes can represent elements of the systems and links depicts the interaction patterns between these elements. Recently, many dengue fever cases are reported in Malaysia which shows the exponential increase of this fever in the country. In this paper we have formalized the dataset of dengue fever cases in Malaysia into two-mode complex network to analyze its impact on the localities. By applying network analysis metrics this research has revealed that few locations have high impact of dengue and they should be treated as critical to minimize the overall impact of spreading.
机译:世界上有许多复杂系统的例子。由于大量的交互元素以及元素之间复杂的交互模式,这些系统非常难以分析。通过将它们转换成复杂的网络,可以对这些系统进行适当的分析,其中节点可以代表系统的元素,而链接则描述了这些元素之间的交互模式。最近,马来西亚报道了许多登革热病例,表明该国该发烧呈指数增长。在本文中,我们已经将马来西亚的登革热病例数据集正式化为两个模式的复杂网络,以分析其对当地的影响。通过应用网络分析指标,这项研究表明,几乎没有任何位置对登革热有高影响,因此应将其视为至关重要,以最大程度地降低传播的总体影响。

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