Selected article for: "cc NC ND International license and prediction model"
Author: Biqing Chen; Hao Liang; Xiaomin Yuan; Yingying Hu; Miao Xu; Yating Zhao; Binfen Zhang; Fang Tian; Xuejun Zhu
Title: Roles of meteorological conditions in COVID-19 transmission on a worldwide scale
  • Document date: 2020_3_20
    • ID: 3svnvozz_38
    Snippet: When there were only wind speed and relative humidity in the model, we got a prediction that was most significantly correlated with the real data (r 2 = 0.637, p = 3.884e-05 for replication_world; r 2 = 0.310, p = 0.021 for replication_Italy; see . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
    Document: When there were only wind speed and relative humidity in the model, we got a prediction that was most significantly correlated with the real data (r 2 = 0.637, p = 3.884e-05 for replication_world; r 2 = 0.310, p = 0.021 for replication_Italy; see . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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