Evidence map›Paper›PMID 37163510›Full record

ArticlePloS one2023

Evaluating the COVID-19 impact in Italian regions via multi criteria analysis.

Francesca Santucci, Martina Nobili, Luca Faramondi, Gabriele Oliva, Bianca Mazzà, Antonio Scala, Massimo Ciccozzi, Roberto Setola

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 37% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 2 countries.

Francesca SantucciUnit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Martina NobiliUnit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Luca FaramondiUnit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.ORCID 0000-0002-3750-2405
Gabriele OlivaUnit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Bianca MazzàUnit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Antonio ScalaISC-CNR Physics Department, Università La Sapienza, Roma, Italy.
Massimo CiccozziMedical Statistic and Molecular Epidemiology Unit, University of Biomedical Campus, Rome, Italy.
Roberto SetolaUnit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Università Campus Bio-Medico · ITSocial Security Office (Thailand) · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Italy was the first European country to be significantly impacted by the COVID-19 pandemic. The lack of similar previous experiences and the initial uncertainty regarding the new virus resulted in an unpredictable health crisis with 243,506 total confirmed cases and 34,997 deaths between February and July 2020. Despite the panorama of precariousness and the impelling calamity, the country successfully managed many aspects of the early stages of the health and socio-economic crisis. Nevertheless, many disparities can be identified at the regional level. The study aims to determine which aspects of regional management were considered more important by the citizens regarding economic and health criteria. A survey was designed to gather responses from the population on the Italian regions' response and provide a ranking of the regions. The 29-item online survey was provided to 352 individuals, and the collected data were analyzed using the Analytic Hierarchy Process methodology. The results show a general agreement in considering of greater relevance the healthcare policies rather than the economic countermeasures adopted by regional governments. Our analysis associated a weight of 64% to the healthcare criteria compared to the economic criteria with a weight of 36%. In addition to the results obtained from the Analytic Hierarchy Process, the sample's composition was analyzed to provide an overall assessment of the Italian regions. To do so, we collected objective data for each region and multiplied them by the overall weight obtained for each sub-criteria. Looking at the propensity to vaccination or the belief in a relation between COVID-19 and 5G according to age and educational qualification helps understand how public opinion is structured according to cultural and anthropological differences.

Indexed as

COVID-19EuropeHumansItalyPandemicsSurveys and Questionnaires

Identifiers

PMID37163510
PMCPMC10171687
OpenAlexW4376131734

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.