COVID-19 Global Risk: Expectation vs. Reality.

ABSTRACT: Background and Objective: COVID-19 has engulfed the entire world, with many countries struggling to contain the pandemic. In order to understand how each country is impacted by the virus compared with what would have been expected prior to the pandemic and the mortality risk on a global scale, a multi-factor weighted spatial analysis is presented. Method: A number of key developmental indicators across three main categories of demographics, economy, and health infrastructure were used, supplemented with a range of dynamic indicators associated with COVID-19 as independent variables. Using normalised COVID-19 mortality on 13 May 2020 as a dependent variable, a linear regression (N = 153 countries) was performed to assess the predictive power of the various indicators. Resul

SUBMITTER: Arsalan M 

PROVIDER: S-EPMC7432363 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature