Evidence map›Paper›PMID 36213151›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

The role of the socio-economic context in the spread of the first wave of COVID-19 in the Marche Region (central Italy).

Eleonora Gioia, Alessandra Colocci, Cristina Casareale, Noemi Marchetti, Fausto Marincioni

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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.

Eleonora GioiaDepartment of Life and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche, 60131, Ancona, Italy.
Alessandra ColocciDepartment of Life and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche, 60131, Ancona, Italy.
Cristina CasarealeDepartment of Life and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche, 60131, Ancona, Italy.
Noemi MarchettiDepartment of Life and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche, 60131, Ancona, Italy.
Fausto MarincioniDepartment of Life and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche, 60131, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first wave of COVID-19 arrived in Italy in February 2020 severely hitting the northern regions and delineating sharp differences across the country, from North to South. The Marche Region (central Italy) is a good example of such uneven distribution of contagion and casualties. This paper discusses the spatial diffusion of COVID-19 during the spring of 2020 in the five provinces of Marche and discusses it by means of descriptive and quantitative analysis of local socio-economic variables. Results show that the high impact of COVID-19 in Pesaro and Urbino, the northernmost province of Marche, might be reasonably attributable to higher mobility of local residents, especially northbound. Similarly, the larger contagion among the elderly in the center and norther provinces, is possibly due to a high number of hospices and seniors' residential facilities. Finally, the North-to-South diffusion of the virus can be explained by the Region's transportation infrastructures and urban layout along the coastal area.

Indexed as

Central ItalyCOVID-19First waveMultidimensional analysisSocio-economic contextSpatial interactions

Identifiers

PMID36213151
PMCPMC9529353

What OpenQuestion holds

Textmetadata
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.