Evidence map›Paper›PMID 37041936›Full record

ArticleHeliyon2023

Early-phase pandemic in Italy: Covid-19 spread determinant factors.

Patrizia Urso, Andrea Cattaneo, Salvatore Pulvirenti, Franco Vercelli, Domenico Maria Cavallo, Paolo Carrer

Abstract read
In one paragraph

Article in Heliyon, 2023. 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

6 authors.

Patrizia UrsoDepartment of Biomedical and Clinical Sciences Hospital 'L. Sacco', University of Milan, Milano, Italy.
Andrea CattaneoDepartment of Science and High Technology, University of Insubria, Como, Italy.
Salvatore PulvirentiDepartment of Biomedical and Clinical Sciences Hospital 'L. Sacco', University of Milan, Milano, Italy.
Franco VercelliDepartment of Biomedical and Clinical Sciences Hospital 'L. Sacco', University of Milan, Milano, Italy.
Domenico Maria CavalloDepartment of Science and High Technology, University of Insubria, Como, Italy.
Paolo CarrerDepartment of Biomedical and Clinical Sciences Hospital 'L. Sacco', University of Milan, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the Covid-19 pandemic is still ongoing, the environmental factors beyond virus transmission are only partially known. This statistical study has the aim to identify the key factors that have affected the virus spread during the early phase of pandemic in Italy, among a wide set of potential determinants concerning demographics, environmental pollution and climate. Because of its heterogeneity in pollution levels and climate conditions, Italy provides an ideal scenario for an ecological study. Moreover, the selected period excludes important confounding factors, as different virus variants, restriction policies or vaccines. The short-term relationship between the infection maximum increase and demographic, pollution and meteo-climatic parameters was investigated, including both winter-spring and summer 2020 data, also focusing separately on the two seasonal periods and on North vs Centre-South. Among main results, the importance of population size confirmed social distancing as a key management option. The pollution hazardous role undoubtedly emerged, as NO

Indexed as

DemographicsIrradianceNO2O3PM2.5Sars-CoV-2

Identifiers

PMID37041936
PMCPMC10079324

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.