human mobility

Biases in human mobility data impact epidemic modeling
F Schlosser, Vedran Sekara, D Brockmann, Manuel Garcia-Herranz
arXiv:2112.12521
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Biases in human mobility data impact epidemic modeling
Finding disease outbreak locations from human mobility data
EPJ Data Science
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Finding disease outbreak locations from human mobility data
New paper out: Finding disease outbreak locations from human mobility data
New paper out: Finding disease outbreak locations from human mobility data
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
Proceedings of the National Academy of Sciences 117 (52), 32883-32890
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COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
Human mobility, networks and disease dynamics on a global scale
Bunde A., Caro J., Kärger J., Vogl G. (eds) Diffusive Spreading in Nature, Technology and Society. Springer, Cham.
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A complex network perspective for characterizing urban travel demand patterns: graph theoretical analysis of large-scale origin--destination demand networks
M Saberi, H S Mahmassani, D Brockmann, A Hosseini
Transportation 44, pages1383–1402
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Effective distances for epidemics spreading on complex networks
F Iannelli, A Koher, D Brockmann, P Hövel, I M Sokolov
Phys. Rev. E 95, 012313
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Understanding and predicting the global spread of emergent infectious diseases
Public Health Forum | Band 22: Heft 3
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Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2
P Lemey, A Rambaut, T Bedford, N Faria, F Bielejec, G Baele, C A Russell, D J Smith, O G Pybus, D Brockmann, M A Suchard
PLoS Pathog 10(2): e1003932
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Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2
The hidden geometry of complex, network-driven contagion phenomena
D Brockmann, D Helbing
Science 342 (6164), 1337-1342
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The hidden geometry of complex, network-driven contagion phenomena