Detailed parallel social modeling for the analysis of COVID-19 spread.

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Title: Detailed parallel social modeling for the analysis of COVID-19 spread.
Authors: Cublier Martínez, Aymar1, Carretero, Jesús1, Singh, David E.1, dexposit@inf.uc3m.es
Source: Journal of Supercomputing; Jun2024, Vol. 80 Issue 9, p12408-12429, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 177648307
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  Data: Detailed parallel social modeling for the analysis of COVID-19 spread.
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  Data: <searchLink fieldCode="AU" term="%22Cublier+Martínez%2C+Aymar%22">Cublier Martínez, Aymar</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Carretero%2C+Jesús%22">Carretero, Jesús</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Singh%2C+David+E%2E%22">Singh, David E.</searchLink><relatesTo>1</relatesTo>, <i>dexposit@inf.uc3m.es</i>
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11227-023-05881-1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 12408
    Titles:
      – TitleFull: Detailed parallel social modeling for the analysis of COVID-19 spread.
        Type: main
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          Name:
            NameFull: Cublier Martínez, Aymar
      – PersonEntity:
          Name:
            NameFull: Carretero, Jesús
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          Name:
            NameFull: Singh, David E.
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          Dates:
            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
          Identifiers:
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              Value: 09208542
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              Value: 80
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Journal of Supercomputing
              Type: main
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