Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
The COVID-19 disease has once again reiterated the impact of pandemics beyond a biomedical event with potential rapid, dramatic, sweeping disruptions to the management, and conduct of everyday life. Not only the rate and pattern of contagion that threaten our sense of healthy living but also the saf...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English English |
Published: |
Elsevier Ltd
2020
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/29601/1/Data-driven%20dynamic%20clustering%20framework%20for%20mitigating%20the%20adverse%20.pdf http://umpir.ump.edu.my/id/eprint/29601/2/Data-driven%20dynamic%20clustering%20framework%20for%20mitigating%20the%20adverse_FULL.pdf http://umpir.ump.edu.my/id/eprint/29601/ https://doi.org/10.1016/j.scs.2020.102372 https://doi.org/10.1016/j.scs.2020.102372 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://umpir.ump.edu.my/id/eprint/29601/1/Data-driven%20dynamic%20clustering%20framework%20for%20mitigating%20the%20adverse%20.pdfhttp://umpir.ump.edu.my/id/eprint/29601/2/Data-driven%20dynamic%20clustering%20framework%20for%20mitigating%20the%20adverse_FULL.pdf
http://umpir.ump.edu.my/id/eprint/29601/
https://doi.org/10.1016/j.scs.2020.102372
https://doi.org/10.1016/j.scs.2020.102372