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Maritime transportation and people mobility in the early diffusion of COVID-19 in Croatia.
Cot, Corentin; Aksentijevic, Dea; Jugovic, Alen; Cacciapaglia, Giacomo; Mannarini, Gianandrea.
Afiliação
  • Cot C; Laboratoire de Physique des 2 Infinis Irène Joliot Curie (UMR 9012), Centre Nationale de la Recherche Scientifique (CNRS)/IN2P3, Orsay, France.
  • Aksentijevic D; Pomorski Fakultet Sveucilista u Rijeci/Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia.
  • Jugovic A; Pomorski Fakultet Sveucilista u Rijeci/Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia.
  • Cacciapaglia G; Univ Lyon, Univ Claude Bernard Lyon 1, Centre Nationale de la Recherche Scientifique (CNRS)/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France.
  • Mannarini G; Fondazione CMCC-Ocean Predictions and Applications Division, Lecce, Italy.
Front Public Health ; 11: 1183047, 2023.
Article em En | MEDLINE | ID: mdl-37663862
Introduction: The outbreak of COVID-19 in Europe began in early 2020, leading to the emergence of several waves of infection with varying timings across European countries. The largest wave of infection occurred in August-September. Croatia, known for being a hotspot of tourism in the Mediterranean region, raised concerns that it might have played a role in incubating the pandemic during the summer of 2020. Methods: To investigate this possibility, we conducted a data-driven study to examine the potential influence of passenger mobility to and within Croatia, utilizing various modes of transportation. To achieve this, we integrated observational datasets into the "epidemic Renormalization Group" modeling framework. Results: By comparing the models with epidemiological data, we found that in the case of Croatia in 2020, neither maritime nor train transportation played a prominent role in propagating the infection. Instead, our analysis highlighted the leading role of both road and airborne mobility in the transmission of the virus. Discussion: The proposed framework serves to test hypotheses concerning the causation of infectious waves, offering the capacity to rule out unrelated factors from consideration.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article