A region-specific clustering approach to investigate risk-factors in mortality rate during COVID-19: comprehensive statistical analysis from 208 countries-Reference-Cited by-同舟云学术

A region-specific clustering approach to investigate risk-factors in mortality rate during COVID-19: comprehensive statistical analysis from 208 countries

Published:2021-03-22 Issue:4 Volume:45 Page:284-289
ISSN:0309-1902
Container-title:Journal of Medical Engineering & Technology
language:en
Short-container-title:Journal of Medical Engineering & Technology

Author:

Garg Poojita¹,Joshi Deepak²³

Affiliation:

1. Computer Science and Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh, India

2. Centre for Biomedical Engineering, IIT Delhi, New Delhi, India

3. Department of Biomedical Engineering, AIIMS Delhi, New Delhi, India

Publisher

Informa UK Limited

Subject

Biomedical Engineering,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/03091902.2021.1893398

Reference9 articles.

1. COVID-19 and mental health: A review of the existing literature

2. Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach

3. https://ourworldindata.org/coronavirus. [cited 2020 Dec 15].

4. Rajan K, Dhana K, Barnes LL, et al. Strong effects of population density and social characteristics on distribution of COVID-19 infections in the United States. medRxiv. 2020.

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