First Quarter Chronicle of COVID-19: An Attempt to Measure Governments’ Responses
Autor: | Wei Zhu, Jing Wang, Kira Henshaw, Şule Şahin, Julia Eisenberg, Maoqi Hu, Corina Constantinescu, María del Carmen Boado-Penas |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Measure (data warehouse)
Government Public economics Coronavirus disease 2019 (COVID-19) Strategy and Management Economics Econometrics and Finance (miscellaneous) distribution fitting Quarter (United States coin) Distribution fitting lcsh:HG8011-9999 epidemic lcsh:Insurance 03 medical and health sciences 0302 clinical medicine Order (exchange) Accounting Political science Pandemic ddc:330 030212 general & internal medicine China 030217 neurology & neurosurgery risk |
Zdroj: | Risks Volume 8 Issue 4 Risks, Vol 8, Iss 115, p 115 (2020) |
ISSN: | 2227-9091 |
DOI: | 10.3390/risks8040115 |
Popis: | 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&rsquo 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. |
Databáze: | OpenAIRE |
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