Your browser doesn't support javascript.
The impact of human mobility networks on the global spread of COVID-19.
Hâncean, Marian-Gabriel; Slavinec, Mitja; Perc, Matjaz.
  • Hâncean MG; Department of Sociology, University of Bucharest, Bucharest, Romania.
  • Slavinec M; Faculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.
  • Perc M; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan & Complexity Science Hub Vienna, Vienna, Austria.
J Complex Netw ; 8(6): cnaa041, 2020 Dec 01.
Article in English | MEDLINE | ID: covidwho-1123245
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: J Complex Netw Year: 2020 Document Type: Article Affiliation country: Comnet

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: J Complex Netw Year: 2020 Document Type: Article Affiliation country: Comnet