| Literature DB >> 34191993 |
Marian-Gabriel Hâncean1, Mitja Slavinec2, Matjaž Perc3.
Abstract
Human mobility networks are crucial for a better understanding and controlling the spread of epidemics. Here, we study the impact of human mobility networks on the COVID-19 onset in 203 different countries. We use exponential random graph models to perform an analysis of the country-to-country global spread of COVID-19. We find that most countries had similar levels of virus spreading, with only a few acting as the main global transmitters. Our evidence suggests that migration and tourism inflows increase the probability of COVID-19 case importations while controlling for contiguity, continent co-location and sharing a language. Moreover, we find that air flights were the dominant mode of transportation while male and returning travellers were the main carriers. In conclusion, a mix of mobility and geography factors predicts the COVID-19 global transmission from one country to another. These findings have implications for non-pharmaceutical public health interventions and the management of transborder human circulation. © The authors 2020. Published by Oxford University Press. All rights reserved.Entities:
Keywords: COVID-19 case importations; complex networks; human mobility networks; inbound tourism; incoming migration
Year: 2021 PMID: 34191993 PMCID: PMC7989546 DOI: 10.1093/comnet/cnaa041
Source DB: PubMed Journal: J Complex Netw ISSN: 2051-1310