Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices

  • Md Arafatur Rahman*
  • , Nafees Zaman
  • , A. Taufiq Asyhari
  • , Fadi Al-Turjman
  • , Md Zakirul Alam Bhuiyan
  • , M. F. Zolkipli
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    142 Citations (SciVal)
    Original languageEnglish
    Article number102372
    JournalSustainable Cities and Society
    Volume62
    DOIs
    Publication statusPublished (VoR) - Nov 2020

    Funding

    This work was partially supported by a Research Grant ( RDU192215 ), which is funded by University Malaysia Pahang .

    Keywords

    • Covid-19
    • Dynamic clustering
    • Lockdown
    • Pandemic

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