2021
DOI: 10.1108/ijpsm-06-2021-0138
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Is regional emergency management key to containing COVID-19? A comparison between the regional Italian models of Emilia-Romagna and Veneto

Abstract: PurposeThis paper analyses emergency management in two regions of Italy – Emilia-Romagna and Veneto – in order (1) to understand whether they impact on the spread of local coronavirus disease 2019 (COVID-19) contagion and (2) evaluate which strategy works best.Design/methodology/approachA three-step method was developed consisting of (1) a regional incidence curve analysis; (2) a descriptive statistical analysis of the respective operational measures related to the COVID-19 curve stages; and (3) a dynamic Stru… Show more

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Cited by 27 publications
(5 citation statements)
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“…In particular, a lognormal probabilistic model have been adopted for both both dFPS and IDIs [6]. The mean value μ and standard deviation σ have been estimated by performing a statistical analysis [22]- [30] of the data. The parameters of the probabilistic distribution have been computed adopting the maximum likelihood method according to [31].…”
Section: Bi-variate Probabilistic Analysis Of the Resultsmentioning
confidence: 99%
“…In particular, a lognormal probabilistic model have been adopted for both both dFPS and IDIs [6]. The mean value μ and standard deviation σ have been estimated by performing a statistical analysis [22]- [30] of the data. The parameters of the probabilistic distribution have been computed adopting the maximum likelihood method according to [31].…”
Section: Bi-variate Probabilistic Analysis Of the Resultsmentioning
confidence: 99%
“…The decision-making process was centralised, leading to a short-circuiting of a localized response regime ( Askim and Bergström, 2022 ; see Troisi and Alfano 2022 for a counter example), and it was concentrated, with the Prime Minister and the Minister of Health keeping a tight rein on the process while the cabinet was on the sidelines – an unusual feature in Norway, where prime ministerial dominance is uncommon ( Christensen, 2003 ). Political and bureaucratic executives were exposed to divergent views, reflecting a general dedication to knowledge-based policymaking ( Christensen and Holst, 2017 ).…”
Section: Concluding Discussionmentioning
confidence: 99%
“…Finally, per capita public expenditure for Covid-19 was measured as control variable. Previous results do not provide conclusive evidence since some studies show no correlation between public expenditure and the ability to contain Covid-19 [ 44 , 65 ], whereas other studies report lower Covid-19 fatalities in countries with significant resources dedicated to health-care [ 66 ].…”
Section: Methodsmentioning
confidence: 98%
“…In the present study, we performed several DEAs distinguishing two different types of demand for services that regional health care systems have to deal with: Covid-19 and non Covid-19. In addition, in Covid-19 crisis [ 44 ] demand is not constant over time. In the next step, we distinguished between three phases of demand: from March 2020 to June 2020, coinciding with the first surge of the pandemic; from July 2020 to September 2020, when demand of Covid-19 patients declined; from October 2020 to December 2020, coinciding with the second surge of the pandemic.…”
Section: Methodsmentioning
confidence: 99%