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.

Spatio-temporal distribution pattern of COVID-19 in the Northern Italy during the first-wave scenario. The role of the highway network / De Angelis, Marco; Durastanti, Claudio; Giovannoni, Matteo; Moretti, Laura. - In: TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES. - ISSN 2590-1982. - 15:(2022). [10.1016/j.trip.2022.100646]

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

Durastanti, Claudio;Moretti, Laura
2022

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.
2022
A27, Italian highway from Venezia to Pian di Vedoia; A4, Italian highway from Torino to Trieste; A6, Italian highway from Torino to Savona; A7, Italian highway from Milano to Genova; BG, Province of Bergamo; BR, province of Brescia; COVID-19; COVID-19, coronavirus disease 2019; CR, province of Cremona; disease outbreak scenarios; E35, european route from Amsterdam to Rome; E45, european route from Alta to Gela; E55, european route from Helsingborg to Kalamáta; E70, european route from Coruña to Poti; GO, province of Gorizia; highway; LO, province of Lodi; MI, province of Milano; PC, province of Piacenza; PD, province of Padova; PR, province of Parma; PV, province of Pavia; RO, province of Rovigo; SARS-CoV-2; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; SS9, via Emilia; spatial epidemiology; TO, province of Torino; TR, province of Treviso
01 Pubblicazione su rivista::01a Articolo in rivista
Spatio-temporal distribution pattern of COVID-19 in the Northern Italy during the first-wave scenario. The role of the highway network / De Angelis, Marco; Durastanti, Claudio; Giovannoni, Matteo; Moretti, Laura. - In: TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES. - ISSN 2590-1982. - 15:(2022). [10.1016/j.trip.2022.100646]
File allegati a questo prodotto
File Dimensione Formato  
De-Angelis_Spatio-temporal-distribution-pattern_2023.pdf

accesso aperto

Note: articolo
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 7.99 MB
Formato Adobe PDF
7.99 MB Adobe PDF Visualizza/Apri PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1674343
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact