Nature of Complex Network of Dengue Epidemic as a Scale-Free Network

Hafiz Abid Mahmood Malik; Faiza Abid; Nadeem Mahmood; Mohamed Ridza Wahiddin; Asif Malik

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자료유형: 학술저널

저자정보: Hafiz Abid Mahmood Malik Faiza Abid Nadeem Mahmood Mohamed Ridza Wahiddin Asif Malik

저널정보: 대한의료정보학회 Healthcare Informatics Research Healthcare Informatics Research 제25권 제3호

발행연도: 2019.1

수록면: 182 - 192 (11page)

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Objectives: Dengue epidemic is a dynamic and complex phenomenon that has gained considerable attention due to its injurious effects. The focus of this study is to statically analyze the nature of the dengue epidemic network in terms of whether it follows the features of a scale-free network or a random network. Methods: A multifarious network of Aedes aegypti is addressed keeping the viewpoint of a complex system and modelled as a network. The dengue network has been transformed into a one-mode network from a two-mode network by utilizing projection methods. Furthermore, three network features have been analyzed, the power-law, clustering coefficient, and network visualization. In addition, five methods have been applied to calculate the global clustering coefficient. Results: It has been observed that dengue epidemic follows a powerlaw, with the value of its exponent γ = –2.1. The value of the clustering coefficient is high for dengue cases, as weight of links. The minimum method showed the highest value among the methods used to calculate the coefficient. Network visualization showed the main areas. Moreover, the dengue situation did not remain the same throughout the observed period. Conclusions: The results showed that the network topology exhibits the features of a scale-free network instead of a random network. Focal hubs are highlighted and the critical period is found. Outcomes are important for the researchers, health officials, and policy makers who deal with arbovirus epidemic diseases. Zika virus and Chikungunya virus can also be modelled and analyzed in this manner.

참고문헌 (28)

참고문헌 신청

Newman ME / 2001 / The structure of scientific collaboration networks / Proc Natl Acad Sci U S A 98(2):404~409

Malik HA / 2019 / Analysis of airport network in Pakistan utilizing complex network approach / Int J Adv Comput Sci Appl 10(1):404~410

Malik HA / 2019 / Unweighted network study of Pakistani airports / Proceedings of 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) :1~6

Malik HA / 2017 / Use of cloud computing in Hajj crowed management and complex systems / Proceedings of 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) :1~5

Malik HA / 2014 / Twomode complex network modeling of dengue epidemic in Selangor, Malaysia / Proceedings of the 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M) :1~6

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