Evidence map›Paper›PMID 33988144›Full record

ArticleActa bio-medica : Atenei Parmensis2021

Analysis of the time evolution of COVID-19 lethality during the first epidemic wave in Italy.

Nicole Balasco, Vincenzo D'Alessandro, Pietro Ferrara, Giovanni Smaldone, Luigi Vitagliano

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In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nicole BalascoInstitute of Biostructures and Bioimaging, CNR, Naples, Italy. nicole.balasco@unina.it.
Vincenzo D'AlessandroDepartment of Electrical Engineering and Information Technology, University Federico II, Naples. vindales@unina.it.
Pietro FerraraCenter for Public Health Research, University of Milan - Bicocca, Monza (Italy); Value-based Healthcare Unit, IRCCS MultiMedica, Sesto San Giovanni, Milan (Italy). p_ferrara@alice.it.
Giovanni SmaldoneIRCCS SDN, Naples. gsmaldone@sdn-napoli.it.
Luigi VitaglianoInstitute of Biostructures and Bioimaging, CNR, Naples. luigi.vitagliano@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimWhile the entire world is still experiencing the dramatic emergency due to SARS-CoV-2, Italy has a prominent position since it has been the locus of the first major outbreak among Western countries. The aim of this study is the evaluation of temporal connection between SARS-CoV-2 positive tests (cases) and deaths in Italy in the first wave of the epidemic.

methodsA temporal link between cases and deaths was determined by comparing their daily/weekly trends using surveillance data of the period March 2-June 2020.

resultsThe monitoring of the cases/deaths evolution during the first wave of the outbreak highlights a striking correlation between infections of a certain week and deaths of the following one. We defined a weekly lethality rate that is virtually unchanged over the entire months of April and May until the first week of June (≈13.6%). Due to the rather low number of cases/deaths, this parameter starts to fluctuate in the following three weeks.

conclusionsThe analysis indicates that the weekly lethality rate is virtually unchanged over the entire first wave of the epidemic, despite the progressive increase of the testing. As observed for the overall lethality, this parameter uniformly presents rather high values. The definition of a temporal link between cases and deaths will likely represent a useful tool for highlighting analogies and differences between the first and the second wave of the pandemic and for evaluating the effectiveness, even if partial, of the strategies applied during the ongoing outbreak. (www.actabiomedica.it).

Indexed as

COVID-19Disease OutbreaksHumansItalyPandemicsSARS-CoV-2

Identifiers

PMID33988144
PMCPMC8182589

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.