Multivariate visualization of the global COVID-19 pandemic: A comparison of 161 countries.

ABSTRACT:

Background

The aim of the study was to visualize the global spread of the COVID-19 pandemic over the first 90 days, through the principal component analysis approach of dimensionality reduction.

Methods

This study used data from the Global COVID-19 Index provided by PEMANDU Associates. The sample, representing 161 countries, comprised the number of confirmed cases, deaths, stringency indices, population density and GNI per capita (USD). Correlation matrices were computed to reveal the association between the variables at three time points: day-30, day-60 and day-90. Three separate principal component analyses were computed for similar time points, and several standardized plots were produced.

Results

Confirmed cases and deaths due to COVID-19 showed positive but weak

SUBMITTER: Teh JKL 

PROVIDER: S-EPMC8162616 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature