Selected article for: "high low spatial clustering and spatial clustering"
Author: Xi Zhang; Hua-Xiang Rao; Yuwan Wu; Yubei Huang; Hongji Dai
Title: Comparison of the spatiotemporal characteristics of the COVID-19 and SARS outbreaks in mainland China
  • Document date: 2020_3_26
    • ID: brwmpm5a_31
    Snippet: Province. In addition, we identified 4 significant clusters at P < 0.01 and 5 significant clusters at P < 0.05. Specifically, Liaoning, Inner Mongolia, and most western provinces had significantly low-low spatial clustering, whereas Anhui, Hunan and Jiangxi of Central China had significantly low-high spatial clustering. For SARS, two significant high-high (Beijing and Tianjin) and low-high (Hebei) clusters were detected. Sichuan, Tibet and Anhui .....
    Document: Province. In addition, we identified 4 significant clusters at P < 0.01 and 5 significant clusters at P < 0.05. Specifically, Liaoning, Inner Mongolia, and most western provinces had significantly low-low spatial clustering, whereas Anhui, Hunan and Jiangxi of Central China had significantly low-high spatial clustering. For SARS, two significant high-high (Beijing and Tianjin) and low-high (Hebei) clusters were detected. Sichuan, Tibet and Anhui showed significant low-low clustering (Fig. 4) .

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