Clustering of countries for COVID-19 cases based on disease prevalence, health systems and environmental indicators.

Rizvi, Syeda Amna; Umair, Muhammad; Cheema, Muhammad Aamir

Rizvi, Syeda Amna; Umair, Muhammad; Cheema, Muhammad Aamir.

Afiliação

Rizvi SA; Computer Engineering Department, University of Engineering and Technology, Lahore, Pakistan.
Umair M; Department of Electrical, Electronics & Telecommunication Engineering, New Campus, University of Engineering & Technology, Lahore, Pakistan.
Cheema MA; Faculty of Information Technology, Monash University, Australia.

Chaos Solitons Fractals ; 151: 111240, 2021 Oct.

Article em En | MEDLINE | ID: mdl-34253943

Palavras-chave

COVID-19; COVID-19 confirmed cases; COVID-19 death cases; Clustering methods; Disease prevalence; K-Means; Pearson correlation; Second wave; Unsupervised learning

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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