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
Secondo
;
Moretti, Laura
Ultimo
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
COVID-19; SARS-CoV-2; spatial epidemiology; disease outbreak scenarios; highway
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_2022.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 7.98 MB
Formato Adobe PDF
7.98 MB Adobe 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 1
  • ???jsp.display-item.citation.isi??? 0
social impact