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10.1093/comnet/cnaa041

http://scihub22266oqcxt.onion/10.1093/comnet/cnaa041
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34191993!7989546!34191993
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suck abstract from ncbi


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pmid34191993      J+Complex+Netw 2020 ; 8 (6): cnaa041
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  • The impact of human mobility networks on the global spread of COVID-19 #MMPMID34191993
  • Hancean MG; Slavinec M; Perc M
  • J Complex Netw 2020[Dec]; 8 (6): cnaa041 PMID34191993show ga
  • 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.
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