Covid-19: A Dynamic Analysis of Fatality Risk in Italy

Italy was the second country in the world to face a wide epidemic of Covid-19 after China. The ratio of the number of fatalities to the number of cases (case fatality ratio, CFR) recorded in Italy was surprisingly high and increased in the month of March. The older mean age of population, the change...

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Main Authors: Marco Iosa, Stefano Paolucci, Giovanni Morone
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmed.2020.00185/full
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spelling doaj-fb6078fc01b74dde9094c8865f57a7c92020-11-25T02:54:36ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2020-04-01710.3389/fmed.2020.00185547505Covid-19: A Dynamic Analysis of Fatality Risk in ItalyMarco IosaStefano PaolucciGiovanni MoroneItaly was the second country in the world to face a wide epidemic of Covid-19 after China. The ratio of the number of fatalities to the number of cases (case fatality ratio, CFR) recorded in Italy was surprisingly high and increased in the month of March. The older mean age of population, the changes in testing policy, and the methodological computation of CFR were previously reported as possible explanations for the incremental trend of CFR, a parameter theoretically expected to be constant. In this brief report, the official data provided by the Italian Ministry of Health were analyzed using fitting models and the linear fit method approach. This last methodology allowed us to reach two findings. The trend of the number of deaths followed a 1–3-day delay of positive cases. This delay was not compatible with a biological course of Covid-19 but was compatible with a health management explanation. The second finding is that the Italian number of deaths did not increase linearly with the number of positive cases, but their relationship could be modeled by a second-order polynomial function. The high number of positive cases might have a direct and an indirect effect on the number of deaths, the latter being related to the overwhelmed bed capacity of intensive care units.https://www.frontiersin.org/article/10.3389/fmed.2020.00185/fullSARS-CoV-2Corona viruscase fatality ratioepidemiologyrehabilitation
collection DOAJ
language English
format Article
sources DOAJ
author Marco Iosa
Stefano Paolucci
Giovanni Morone
spellingShingle Marco Iosa
Stefano Paolucci
Giovanni Morone
Covid-19: A Dynamic Analysis of Fatality Risk in Italy
Frontiers in Medicine
SARS-CoV-2
Corona virus
case fatality ratio
epidemiology
rehabilitation
author_facet Marco Iosa
Stefano Paolucci
Giovanni Morone
author_sort Marco Iosa
title Covid-19: A Dynamic Analysis of Fatality Risk in Italy
title_short Covid-19: A Dynamic Analysis of Fatality Risk in Italy
title_full Covid-19: A Dynamic Analysis of Fatality Risk in Italy
title_fullStr Covid-19: A Dynamic Analysis of Fatality Risk in Italy
title_full_unstemmed Covid-19: A Dynamic Analysis of Fatality Risk in Italy
title_sort covid-19: a dynamic analysis of fatality risk in italy
publisher Frontiers Media S.A.
series Frontiers in Medicine
issn 2296-858X
publishDate 2020-04-01
description Italy was the second country in the world to face a wide epidemic of Covid-19 after China. The ratio of the number of fatalities to the number of cases (case fatality ratio, CFR) recorded in Italy was surprisingly high and increased in the month of March. The older mean age of population, the changes in testing policy, and the methodological computation of CFR were previously reported as possible explanations for the incremental trend of CFR, a parameter theoretically expected to be constant. In this brief report, the official data provided by the Italian Ministry of Health were analyzed using fitting models and the linear fit method approach. This last methodology allowed us to reach two findings. The trend of the number of deaths followed a 1–3-day delay of positive cases. This delay was not compatible with a biological course of Covid-19 but was compatible with a health management explanation. The second finding is that the Italian number of deaths did not increase linearly with the number of positive cases, but their relationship could be modeled by a second-order polynomial function. The high number of positive cases might have a direct and an indirect effect on the number of deaths, the latter being related to the overwhelmed bed capacity of intensive care units.
topic SARS-CoV-2
Corona virus
case fatality ratio
epidemiology
rehabilitation
url https://www.frontiersin.org/article/10.3389/fmed.2020.00185/full
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AT stefanopaolucci covid19adynamicanalysisoffatalityriskinitaly
AT giovannimorone covid19adynamicanalysisoffatalityriskinitaly
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