Evidence map›Paper›PMID 32836819›Full record

ArticleNonlinear dynamics2020

Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy.

Maria Michela Dickson, Giuseppe Espa, Diego Giuliani, Flavio Santi, Lucia Savadori

Open access · hybridAbstract read
In one paragraph

Article in Nonlinear dynamics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

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  14. Spatiotemporal Analysis of Covid-19 in Turkey.Sustainable cities and society · 2022
    Article
  15. Review
  16. Pan-African evolution of within- and between-country COVID-19 dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
  18. Article
  19. Analysis of the Spread of COVID-19 in the USA with a Spatio-Temporal Multivariate Time Series Model.International journal of environmental research and public health · 2021
    Article
  20. A Spatio-temporal analysis of COVID-19 outbreak in Italy.Regional science policy & practice · 2020
    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 at 2 institutions in 1 country.

Maria Michela DicksonDepartment of Economics and Management, University of Trento, Via Inama 5, 38122 Trento, TN Italy.ORCID 0000-0002-4307-0469
Giuseppe EspaDepartment of Economics and Management, University of Trento, Via Inama 5, 38122 Trento, TN Italy.ORCID 0000-0002-0331-3630
Diego GiulianiDepartment of Economics and Management, University of Trento, Via Inama 5, 38122 Trento, TN Italy.ORCID 0000-0002-7198-6714
Flavio SantiDepartment of Economics, University of Verona, Verona, VR Italy.ORCID 0000-0002-2014-1981
Lucia SavadoriDepartment of Economics and Management, University of Trento, Via Inama 5, 38122 Trento, TN Italy.ORCID 0000-0003-3957-3132
University of Trento · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims at investigating empirically whether and to what extent the containment measures adopted in Italy had an impact in reducing the diffusion of the COVID-19 disease across provinces. For this purpose, we extend the multivariate time-series model for infection counts proposed in Paul and Held (Stat Med 30(10):118-1136, 2011) by augmenting the model specification with B-spline regressors in order to account for complex nonlinear spatio-temporal dynamics in the propagation of the disease. The results of the model estimated on the time series of the number of infections for the Italian provinces show that the containment measures, despite being globally effective in reducing both the spread of contagion and its self-sustaining dynamics, have had nonlinear impacts across provinces. The impact has been relatively stronger in the northern local areas, where the disease occurred earlier and with a greater incidence. This evidence may be explained by the shared popular belief that the contagion was not a close-to-home problem but rather restricted to a few distant northern areas, which, in turn, might have led individuals to adhere less strictly to containment measures and lockdown rules.

Indexed as

COVID-19ItalyQuarantineSpatial dependenceSpatio-temporal model

Identifiers

PMID32836819
PMCPMC7414636
OpenAlexW3048077803

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.