Regional Differences in Mortality Rates During the COVID-19 Epidemic in Italy

Author:

Azzolina Danila,Lorenzoni Giulia,Silvestri Luciano,Prosepe Ilaria,Berchialla Paola,Gregori DarioORCID

Abstract

Abstract Objective: The coronavirus disease 2019 (COVID-19) outbreak started in Italy on February 20, 2020, and has resulted in many deaths and intensive care unit (ICU) admissions. This study aimed to illustrate the epidemic COVID-19 growth pattern in Italy by considering the regional differences in disease diffusion during the first 3 mo of the epidemic. Methods: Official COVID-19 data were obtained from the Italian Civil Protection Department of the Council of Ministers Presidency. The mortality and ICU admission rates per 100,000 inhabitants were calculated at the regional level and summarized by means of a Bayesian multilevel meta-analysis. Data were retrieved until April 21, 2020. Results: The highest cumulative mortality rates per 100 000 inhabitants were observed in northern Italy, particularly in Lombardia (85.3; 95% credibility intervals [CI], 75.7-94.7). The difference in the mortality rates between northern and southern Italy increased over time, reaching a difference of 67.72 (95% CI, 66-67) cases on April 2, 2020. Conclusions: Northern Italy showed higher and increasing mortality rates during the first 3 mo of the epidemic. The uncontrolled virus circulation preceding the infection spreading in southern Italy had a considerable impact on system burnout. This experience demonstrates that preparedness against the pandemic is of crucial importance to contain its disruptive effects.

Publisher

Cambridge University Press (CUP)

Subject

Public Health, Environmental and Occupational Health

Reference36 articles.

1. Health-care inequalities in Italy: challenges for the Government

2. Covid-19: identifying and isolating asymptomatic people helped eliminate virus in Italian village

3. COVID-19 in Northern Italy: an integrative overview of factors possibly influencing the sharp increase of the outbreak (Review);Goumenou;Mol Med Rep.,2020

4. Indications for healthcare surge capacity in European countries facing an exponential increase in coronavirus disease (COVID-19) cases, March 2020

5. 16. Max Roser EO-O Hannah Ritchie, Hasell J. Coronavirus pandemic (COVID-19). Our World Data. 2020. https://www.ourworldindata.org/coronavirus. Accessed April 3, 2020

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