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Outbreak patterns of the novel avian influenza (H7N9)

Ya-Nan Pan, Jing-Jing Lou and Xiao-Pu Han

Physica A: Statistical Mechanics and its Applications, 2014, vol. 401, issue C, 265-270

Abstract: The attack of novel avian influenza (H7N9) in East China caused a serious health crisis and public panic. In this paper, we empirically analyze the onset patterns of human cases of the novel avian influenza and observe several spatial and temporal properties that are similar to other infectious diseases. More specifically, using the empirical analysis and modeling studies, we find that the spatio-temporal network that connects the cities with human cases along the order of outbreak timing emerges two-regime-power-law edge-length distribution, indicating the picture that several islands with higher and heterogeneous risk straggle in East China. The proposed method is applicable to the analysis of the spreading situation in the early stage of disease outbreak using quite limited dataset.

Keywords: Avian influenza (H7N9); Outbreak patterns; Connecting nearest-existing-node network; Edge-length distribution; Two-regime power law (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:401:y:2014:i:c:p:265-270

DOI: 10.1016/j.physa.2014.01.040

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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