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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, Mohamed Fadli Zolkipli

2020Sustainable Cities and Society175 citationsDOIOpen Access PDF

Topics & Concepts

Context (archaeology)Cluster analysisPandemicSocial distanceEconomic impact analysisBaseline (sea)Software deploymentComputer scienceRisk analysis (engineering)BusinessCoronavirus disease 2019 (COVID-19)EngineeringGeographyArtificial intelligenceMedicineDiseaseInfectious disease (medical specialty)Political scienceArchaeologyOperating systemPathologyCivil engineeringLawCOVID-19 epidemiological studiesData-Driven Disease SurveillanceCOVID-19 diagnosis using AI
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices | Litcius