Evidence map›Paper›PMID 37663862›Full record

ArticleFrontiers in public health2023

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

Corentin Cot, Dea Aksentijević, Alen Jugović, Giacomo Cacciapaglia, Gianandrea Mannarini

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Corentin CotLaboratoire de Physique des 2 Infinis Irène Joliot Curie (UMR 9012), Centre Nationale de la Recherche Scientifique (CNRS)/IN2P3, Orsay, France.
Dea AksentijevićPomorski Fakultet Sveučilišta u Rijeci/Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia.
Alen JugovićPomorski Fakultet Sveučilišta u Rijeci/Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia.
Giacomo CacciapagliaUniv Lyon, Univ Claude Bernard Lyon 1, Centre Nationale de la Recherche Scientifique (CNRS)/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France.
Gianandrea MannariniFondazione CMCC-Ocean Predictions and Applications Division, Lecce, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19CroatiaDisease OutbreaksEuropeHumansPandemicsCOVID-19data analysisdiffusionepidemiologymobility

Identifiers

PMID37663862
PMCPMC10469838

What OpenQuestion holds

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Registered trials

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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.