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Abstract
Restrictions of cross-border mobility are typically used to prevent an emerging disease from entering a country in order to slow down its spread. However, such interventions can come with a significant societal cost and should thus be based on careful analysis and quantitative understanding on their effects. To this end, we model the influence of cross-border mobility on the spread of COVID-19 during 2020 in the neighbouring Nordic countries of Denmark, Finland, Norway and Sweden. We investigate the immediate impact of cross-border travel on disease spread and employ counterfactual scenarios to explore the cumulative effects of introducing additional infected individuals into a population during the ongoing epidemic. Our results indicate that the effect of inter-country mobility on epidemic growth is non-negligible essentially when there is sizeable mobility from a high prevalence country or countries to a low prevalence one. Our findings underscore the critical importance of accurate data and models on both epidemic progression and travel patterns in informing decisions related to inter-country mobility restrictions.
Original language | English |
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Article number | e1012182 |
Pages (from-to) | 1-21 |
Number of pages | 21 |
Journal | PLoS computational biology |
Volume | 20 |
Issue number | 6 June |
DOIs | |
Publication status | Published - Jun 2024 |
MoE publication type | A1 Journal article-refereed |
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- 1 Finished
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NordicMathCovid: Data streams and mathematical modelling pipelines to support preparedness and decision making for Covid-19 and future pandemics
Leskelä, L. (Principal investigator), Molla, J. (Project Member) & Shubin, M. (Project Member)
15/09/2020 → 01/09/2023
Project: Other external funding: Other foreign funding