First quarter chronicle of covid-19: An attempt to measure governments’ responses

Şule Şahin*, María Del Carmen Boado-Penas, Corina Constantinescu, Julia Eisenberg, Kira Henshaw, Maoqi Hu, Jing Wang, Wei Zhu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The crisis caused by the outbreak of COVID-19 revealed the global unpreparedness for handling the impact of a pandemic. In this paper, we present a first quarter chronicle of COVID-19 in Hubei China, Italy and Spain, particularly focusing on infection speed, death and fatality rates. By analysing the parameters of the best fitting distributions of the available data for the three rates in each of the three regions, we illustrate the pandemic’s evolution in relation to government measures. We compared the effectiveness of lockdown measures by observing the true situation in each dataset, without proposing a mathematical model. The feasibility of obtaining a firm conclusion in regard to the best solution for containing COVID-19 is limited, with a universal solution failing to exist due to globally varying culture, mentality and behaviours. Our method provides valid insights into the individual and national actions implemented and adhered to in order to slow the effect of the pandemic during the first-wave of COVID-19.

Original languageEnglish
Article number115
JournalRisks
Volume8
Issue number4
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Distribution fitting
  • Epidemic
  • Risk

ASJC Scopus subject areas

  • Accounting
  • Economics, Econometrics and Finance (miscellaneous)
  • Strategy and Management

Fingerprint

Dive into the research topics of 'First quarter chronicle of covid-19: An attempt to measure governments’ responses'. Together they form a unique fingerprint.

Cite this