Selected article for: "high risk cluster and likely cluster"
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_24
    Snippet: Through spatiotemporal clustering analysis, we identified 4 high-risk clusters for COVID-19 within 4 cluster time frames (Fig. 3a) . The most likely cluster was the epicenter, Hubei, with an RR of 135 compared with the neighboring provinces and the longest high-risk period of 22 days (P < 0.001). Two significant secondary clusters were identified in Zhejiang (from Jan. 28 to Jan. 30, 2020, P < 0.001) and Shandong (in Feb. 20, 2020, P < 0.001), wi.....
    Document: Through spatiotemporal clustering analysis, we identified 4 high-risk clusters for COVID-19 within 4 cluster time frames (Fig. 3a) . The most likely cluster was the epicenter, Hubei, with an RR of 135 compared with the neighboring provinces and the longest high-risk period of 22 days (P < 0.001). Two significant secondary clusters were identified in Zhejiang (from Jan. 28 to Jan. 30, 2020, P < 0.001) and Shandong (in Feb. 20, 2020, P < 0.001), with similar RRs of 1.64 and 1.56, respectively. Another possible cluster was identified in Jiangxi (from Feb. 3 to Feb. 4, 2020, P = 0.982).

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