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

doi:10.1016/j.scs.2020.102372

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 journal › Article › peer-review

127 Citations (SciVal)

Original language	English
Article number	102372
Journal	Sustainable Cities and Society
Volume	62
DOIs	https://doi.org/10.1016/j.scs.2020.102372
Publication status	Published (VoR) - Nov 2020

Keywords

Covid-19
Dynamic clustering
Lockdown
Pandemic

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10.1016/j.scs.2020.102372

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@article{9bc21973f65e43a093152024c10b446a,

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

keywords = "Covid-19, Dynamic clustering, Lockdown, Pandemic",

author = "Rahman, {Md Arafatur} and Nafees Zaman and Asyhari, {A. Taufiq} and Fadi Al-Turjman and {Alam Bhuiyan}, {Md Zakirul} and Zolkipli, {M. F.}",

note = "Funding Information: This work was partially supported by a Research Grant ( RDU192215 ), which is funded by University Malaysia Pahang . Publisher Copyright: {\textcopyright} 2020",

year = "2020",

month = nov,

doi = "10.1016/j.scs.2020.102372",

language = "English",

volume = "62",

journal = "Sustainable Cities and Society",

issn = "2210-6707",

publisher = "Elsevier",

}

TY - JOUR

T1 - Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices

AU - Rahman, Md Arafatur

AU - Zaman, Nafees

AU - Asyhari, A. Taufiq

AU - Al-Turjman, Fadi

AU - Alam Bhuiyan, Md Zakirul

AU - Zolkipli, M. F.

PY - 2020/11

Y1 - 2020/11

KW - Covid-19

KW - Dynamic clustering

KW - Lockdown

KW - Pandemic

UR - http://www.scopus.com/inward/record.url?scp=85087855177&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85087855177&partnerID=8YFLogxK

U2 - 10.1016/j.scs.2020.102372

DO - 10.1016/j.scs.2020.102372

M3 - Article

AN - SCOPUS:85087855177

SN - 2210-6707

VL - 62

JO - Sustainable Cities and Society

JF - Sustainable Cities and Society

M1 - 102372

ER -

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

Keywords

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