Evidence map›Paper›PMID 35782786›Full record

ArticleTransportation research interdisciplinary perspectives2022

Spatio-temporal distribution pattern of COVID-19 in the Northern Italy during the first-wave scenario: The role of the highway network.

Marco De Angelis, Claudio Durastanti, Matteo Giovannoni, Laura Moretti

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Article in Transportation research interdisciplinary perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Marco De AngelisDepartment of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
Claudio DurastantiDepartment of Basic and Applied Sciences for Engineering, Sapienza University of Rome, Via Antonio Scarpa 16, 00161 Rome, Italy.
Matteo GiovannoniDepartment of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
Laura MorettiDepartment of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid outbreak of Coronavirus disease 2019 (COVID-19) has posed several challenges to the scientific community. The goal of this paper is to investigate the spread of COVID-19 in Northern Italy during the so-called first wave scenario and to provide a qualitative comparison with the local highway net. Methods: Fixed a grid of days from February 27, 2020, the cumulative numbers of infections in each considered province have been compared to sequences of thresholds. As a consequence, a time-evolving classification of the state of danger in terms of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, in view of the smallest threshold overtaken by this comparison, has been obtained for each considered province. The provinces with a significant amount of cases have then been collected into matrices containing only the ones featuring a significant amount of cases. Results: The time evolution of the classification has then been qualitatively compared to the highway network, to identify similarities and thus linking the rapid spreading of COVID-19 and the highway connections. Conclusions: The obtained results demonstrate how the proposed model properly fits with the spread of COVID-19 along with the Italian highway transport network and could be implemented to analyze qualitatively other disease transmissions in different contexts and time periods.

Indexed as

A27, Italian highway from Venezia to Pian di VedoiaA4, Italian highway from Torino to TriesteA6, Italian highway from Torino to SavonaA7, Italian highway from Milano to GenovaBG, Province of BergamoBR, Province of BresciaCOVID-19COVID-19, Coronavirus disease 2019CR, Province of CremonaDisease outbreak scenariosE35, European route from Amsterdam to RomeE45, European route from Alta to GelaE55, European route from Helsingborg to KalamátaE70, European route from Coruña to PotiGO, Province of GoriziaHighwayLO, Province of LodiMI, Province of MilanoPC, Province of PiacenzaPD, Province of PadovaPR, Province of ParmaPV, Province of PaviaRO, Province of RovigoSARS-CoV-2SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2Spatial epidemiologySS9, Via EmiliaTO, Province of TorinoTR, Province of Treviso

Identifiers

PMID35782786
PMCPMC9234024

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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.