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Title: Data from: The impact of human mobility networks on the global spread of COVID-19

Type Dataset Marian-Gabriel Hancean, Mitja Slavinec, Matjaz Perc (2020): Data from: The impact of human mobility networks on the global spread of COVID-19. Zenodo. Dataset. https://zenodo.org/record/4071499

Authors: Marian-Gabriel Hancean (Department of Sociology, University of Bucharest) ; Mitja Slavinec (Faculty of Natural Sciences and Mathematics, University of Maribor) ; Matjaz Perc (Faculty of Natural Sciences and Mathematics, University of Maribor) ;

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Summary

This is empirical dataset from the paper "The impact of human mobility networks on the global spread of COVID-19". Specifically, the dataset includes several files: (a) the COVID-19 network - an origin/destination matrix (i.e., "covid_network.csv"); (b) the common language network - edgelist format (i.e. "edge_list_comlang.csv"); (c) the same continent network - edgelist format (i.e., "edge_list_continent.csv"; (d) the contiguity network (i.e., "edge_list_contig.csv");  (e) the migration network - edgelist format (i.e., "edge_list_migration_in.csv"; (f) the tourism network - edgelist format (i.e., edge_list_tourism_in.csv"); (g) the list of nodes (countries) corresponding to files (b)-(e) (i.e., "nodes.csv"). Additionally, we uploaded the Rcode used in the paper (i.e. "code"), as a .pdf file format, the data source for the figures included in the paper (i.e., "covid_network_matrix.csv", "matrix_migration_out.csv", "matrix_tourism.csv" - Figure 1; "Fig_2_a_matrix_comlang.csv", Fig_2_b_matrix_contig.csv", "Fig_2_c_matrix_continent.csv" - Figure 2; "Fig_3.graphmlz - Figure 3; Fig_4.graphmlz - Figure 4) and the "global network of COVID-19 onset" (an individual-level data) (i.e., "global_covid_network.csv"). 

For details, please, see the Methods section of the paper: The impact of human mobility networks on the global spread of COVID-19 (Hancean, M.-G., Slavinec, M., Perc, M). 

 

 

 

More information

  • DOI: 10.5281/zenodo.4071499
  • Language: en

Subjects

  • COVID-19 case importations, human mobility networks, incoming migration, inbound tourism, complex networks

Dates

  • Publication date: 2020
  • Issued: October 07, 2020

Notes

Other: {"references": ["WORLD BANK. (2017) Migration and remittances data. https://www.worldbank.org/en/topic/migrationremittancesdiasporaissues/brief/migration-remittances-data", "WORLD TOURISM ORGANIZATION. (2018) Yearbook of tourism statistics: data 2012-2016, 2018 Edition. World Tourism Organization, Madrid. doi: 10.18111/9789284419531", "UNITED NATIONS STATISTICS DIVISION. (2020) Standard country or area codes for statistical use (M49). Methodology https://unstats.un.org/unsd/methodology/m49/.", "MAYER, T. & ZIGNAGO, S. (2011) Notes on CEPII's distances measures: The GeoDist database. Centre D'\u00c9tudes Prospective Et D'Informations Internationales."]}

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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
Referenceshttps://doi.org/10.18111/9789284419531
Referenceshttps://www.worldbank.org/en/topic/migrationremittancesdiasporaissues/brief/migration-remittances-data
Referenceshttps://unstats.un.org/unsd/methodology/m49/
Referenceshttp://www.cepii.fr/CEPII/en/publications/wp/abstract.asp?NoDoc=3877
IsVersionOfhttps://doi.org/10.5281/zenodo.4071498
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo