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Epidemiology #
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Many epidemic diseases spread through the social network. It is even suggested that we can infer social network structure from bacterial sequence data[^1].

Human dynamics is also an important factor[^2]. Humans move through Transportation network, forming contact networks. A useful approach is metapopulation model[^3], which has been applied to use transportation network data and perform efficient simulations. (see Vittoria Colizza, Alessandro Vespignani)

Data + large-scale simulations digital epidemiology[^4]?

Disease spreading in small directed networks[^5].

Temporal percolation in Dynamic network? -

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[^2] Poletto, Chiara; Tizzoni, Michele; Colizza, Vittoria (2012). "Heterogeneous length of stay of hosts’ movements and spatial epidemic spread". Scientific Reports 2. doi:10.1038/srep00476. ISSN 2045-2322.

[^3] Colizza, Vittoria; Pastor-Satorras, Romualdo; Vespignani, Alessandro (2007). "Reaction–diffusion processes and metapopulation models in heterogeneous networks". Nature Physics 3 (4): 276–282. doi:10.1038/nphys560. ISSN 1745-2473.

[^4] Bourne, Philip E.; Salathé, Marcel; Bengtsson, Linus; Bodnar, Todd J.; Brewer, Devon D.; Brownstein, John S.; Buckee, Caroline; Campbell, Ellsworth M. et al. (2012). "Digital Epidemiology". PLoS Computational Biology 8 (7): e1002616. doi:10.1371/journal.pcbi.1002616. ISSN 1553-7358.

[^5] Moslonka-Lefebvre, Mathieu; Pautasso, Marco; Jeger, Mike J. (2009). "Disease spread in small-size directed networks: Epidemic threshold, correlation between links to and from nodes, and clustering". Journal of Theoretical Biology 260 (3): 402–411. doi:10.1016/j.jtbi.2009.06.015. ISSN 00225193.

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