Fleeing lockdown and its impact on the size of epidemic outbreaks in the source and target regions – a COVID-19 lesson

Author:

Barbarossa Maria VittoriaORCID,Bogya Norbert,Dénes AttilaORCID,Röst GergelyORCID,Varma Hridya Vinod,Vizi Zsolt

Abstract

AbstractThe COVID-19 pandemic forced authorities worldwide to implement moderate to severe restrictions in order to slow down or suppress the spread of the disease. It has been observed in several countries that a significant number of people fled a city or a region just before strict lockdown measures were implemented. This behavior carries the risk of seeding a large number of infections all at once in regions with otherwise small number of cases. In this work, we investigate the effect of fleeing on the size of an epidemic outbreak in the region under lockdown, and also in the region of destination. We propose a mathematical model that is suitable to describe the spread of an infectious disease over multiple geographic regions. Our approach is flexible to characterize the transmission of different viruses. As an example, we consider the COVID-19 outbreak in Italy. Projection of different scenarios shows that (i) timely and stricter intervention could have significantly lowered the number of cumulative cases in Italy, and (ii) fleeing at the time of lockdown possibly played a minor role in the spread of the disease in the country.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference35 articles.

1. BBC News. China coronavirus: Lockdown measures rise across Hubei province 23 January 2020. https://www.bbc.com/news/world-asia-china-51217455. Last accessed 7 August 2020

2. Zhao, S. et al. Quantifying the association between domestic travel and the exportation of novel coronavirus (2019-nCoV) cases from Wuhan, China in 2020: a correlational analysis. J. Travel Med. 27(2), taaa022 (2020).

3. Wikipedia. COVID-19 pandemic lockdown in Italy. https://en.wikipedia.org/wiki/COVID-19_pandemic_lockdown_in_Italy. Last accessed 29 July 2020.

4. della Sera, C. Coronavirus, la grande fuga da Milano prima del decreto che isola la Lombardia 8 March 2020. https://www.corriere.it/cronache/20_marzo_08/coronavirus-grande-fuga-milano-prima-decreto-che-isola-lombardia-9b87a15a-60df-11ea-8d61-438e0a276fc4.shtml. Last accessed 11 August 2020.

5. Stampa, L. Fuga dal Nord: ventimila persone rientrate in Sicilia nel weekend 11 March 2020. https://www.lastampa.it/topnews/primo-piano/2020/03/11/news/fuga-dal-nord-ventimila-persone-rientrate-in-sicilia-nel-weekend-1.38580593. Last accessed 11 August 2020.

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