Socio-economic analysis of short-term trends of COVID-19: modeling and data analytics.

ABSTRACT:

Background

COVID-19 caused a worldwide outbreak leading the majority of human activities to a rough breakdown. Many stakeholders proposed multiple interventions to slow down the disease and number of papers were devoted to the understanding the pandemic, but to a less extend some were oriented socio-economic analysis. In this paper, a socio-economic analysis is proposed to investigate the early-age effect of socio-economic factors on COVID-19 spread.

Methods

Fifty-two countries were selected for this study. A cascade algorithm was developed to extract the R0 number and the day J*; these latter should decrease as the pandemic flattens. Subsequently, R0 and J* were modeled according to socio-economic factors using multilinear stepwise-regression.

Results

The findings de

SUBMITTER: El Jai M 

PROVIDER: S-EPMC9421639 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature