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新冠疫情在克罗地亚早期传播期间的海上运输与人员流动。

Maritime transportation and people mobility in the early diffusion of COVID-19 in Croatia.

机构信息

Laboratoire de Physique des 2 Infinis Irène Joliot Curie (UMR 9012), Centre Nationale de la Recherche Scientifique (CNRS)/IN2P3, Orsay, France.

Pomorski Fakultet Sveučilišta u Rijeci/Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia.

出版信息

Front Public Health. 2023 Aug 17;11:1183047. doi: 10.3389/fpubh.2023.1183047. eCollection 2023.

Abstract

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.

摘要

简介

2020 年初,欧洲爆发了 COVID-19 疫情,导致欧洲各国出现了几波不同时间的感染浪潮。最大的一波感染发生在 8 月至 9 月。克罗地亚是地中海地区的旅游热点,人们担心它在 2020 年夏天可能在酝酿大流行方面发挥了作用。

方法

为了研究这种可能性,我们进行了一项数据驱动的研究,利用各种交通方式来检查乘客在克罗地亚境内和之间的流动对疫情的潜在影响。为此,我们将观测数据集整合到“流行病重整群”建模框架中。

结果

通过将模型与流行病学数据进行比较,我们发现在 2020 年的克罗地亚,海上和火车运输都没有在传播感染方面发挥突出作用。相反,我们的分析强调了公路和航空机动性在病毒传播中的主导作用。

讨论

该框架可用于检验有关传染病波因果关系的假设,能够排除无关因素的考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2e0/10469838/afac66de24eb/fpubh-11-1183047-g0001.jpg

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