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Quantitative relationships between national cultures and the increase in cases of novel coronavirus pneumonia.

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  • المؤلفون: Yu N;Yu N; Tao L; Tao L; Zou G; Zou G
  • المصدر:
    Scientific reports [Sci Rep] 2023 Jan 30; Vol. 13 (1), pp. 1646. Date of Electronic Publication: 2023 Jan 30.
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • الموضوع:
      COVID-19*/epidemiology ; Pneumonia*; Humans ; Communicable Disease Control ; SARS-CoV-2 ; Algorithms
    • نبذة مختصرة :
      Support vector machine (SVM) and genetic algorithm were successfully used to predict the changes in the prevalence rate (ΔPR) measured by the increase of reported cases per million population from the 16th to the 45th day during a nation's lockdown after the COVID-19 outbreak. The national cultural indices [individualism-collectivism (Ind), tightness-looseness (Tight)], and the number of people per square kilometer (Pop_density) were used to develop the SVM model of lnΔPR. The SVM model has R 2 of 0.804 for the training set (44 samples) and 0.853 for the test set (11 samples), which were much higher than those (0.416 and 0.593) of the multiple linear regression model. The statistical results indicate that there are nonlinear relationships between lnΔPR and Tight, Ind, and Pop_density. It is feasible to build the model for lnΔPR with SVM algorithm. The results suggested that the risk of COVID-19 epidemic spread will be reduced if a nation implements severe measures to strengthen the tightness of national culture and individuals realize the importance of collectivism.
      (© 2023. The Author(s).)
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    • الموضوع:
      Date Created: 20230130 Date Completed: 20230201 Latest Revision: 20230314
    • الموضوع:
      20240829
    • الرقم المعرف:
      PMC9885052
    • الرقم المعرف:
      10.1038/s41598-023-28980-8
    • الرقم المعرف:
      36717639