The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Scatà, Marialisa ^a   Di Stefano, Alessandro ^a   Liò, Pietro ^b   La Corte, Aurelio ^a  

^a UNIVERSITY OF CATANIA   (Italy)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AWARENESS; BIOLOGICAL MODEL; FEMALE; HUMAN; MALE; TRANSMISSION; ZIKA FEVER; ZIKA VIRUS;

AWARENESS; FEMALE; HUMANS; MALE; MODELS, BIOLOGICAL; ZIKA VIRUS; ZIKA VIRUS INFECTION;

EID: 84995611289     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep37105     Document Type: Article

References (63)

1. Pastor-Satorras, R., Castellano, C., Van Mieghem, P. & Vespignani, A. Epidemic processes in complex networks. Reviews of modern physics 87, 925 (2015).
2. Anderson, R. M., May, R. M. & Anderson, B. Infectious diseases of humans: dynamics and control vol. 28 (Wiley Online Library, 1992).
3. Brauer, F., Castillo-Chavez, C. & Castillo-Chavez, C. Mathematical models in population biology and epidemiology vol. 40 (Springer, 2001).
4. Diekmann, O., Heesterbeek, H. & Britton, T. Mathematical tools for understanding infectious disease dynamics (Princeton University Press, 2012).
5. Heesterbeek, J. Mathematical epidemiology of infectious diseases: model building, analysis and interpretation vol. 5 (John Wiley & Sons, 2000).
6. Keeling, M. J. & Rohani, P. Modeling infectious diseases in humans and animals (Princeton University Press, 2008).
7. Hethcote, H. W. The mathematics of infectious diseases. SIAM review 42, 599-653 (2000).
8. Vespignani, A. Modelling dynamical processes in complex socio-technical systems. Nature Physics 8, 32-39 (2012).
9. Albert, R. & Barabási, A.-L. Statistical mechanics of complex networks. Reviews of modern physics 74, 47 (2002).
10. Newman, M. E. Spread of epidemic disease on networks. Physical review E 66, 016128 (2002).
11. Dorogovtsev, S. N. & Mendes, J. F. Evolution of networks: From biological nets to the Internet and WWW (OUP Oxford, 2013).
12. Crepey, P., Alvarez, F. P. & Barthélemy, M. Epidemic variability in complex networks. Physical Review E 73, 046131 (2006).
13. Wang, W. et al. Asymmetrically interacting spreading dynamics on complex layered networks. Scientific reports 4 (2014).
14. Zheng, M. et al. Non-periodic outbreaks of recurrent epidemics and its network modelling. Scientific reports 5 (2015).
15. Colizza, V. & Vespignani, A. Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: Theory and simulations. Journal of theoretical biology 251, 450-467 (2008).
16. Dickison, M., Havlin, S. & Stanley, H. E. Epidemics on interconnected networks. Physical Review E 85, 066109 (2012).
17. Buono, C., Alvarez-Zuzek, L. G., Macri, P. A. & Braunstein, L. A. Epidemics in partially overlapped multiplex networks. Plos One 9, e92200 (2014).
18. Zuzek, L. A., Stanley, H. & Braunstein, L. Epidemic model with isolation in multilayer networks. Scientific reports 5 (2015).
19. Zhao, D. et al. Immunization of epidemics in multiplex networks. Plos One 9, e112018 (2014).
20. Zhao, D., Li, L., Peng, H., Luo, Q. & Yang, Y. Multiple routes transmitted epidemics on multiplex networks. Physics Letters A 378, 770-776 (2014).
21. Zuzek, L. G. A., Buono, C. & Braunstein, L. A. Epidemic spreading and immunization strategy in multiplex networks. In Journal of Physics: Conference Series vol. 640, 012007 (IOP Publishing, 2015).
22. Granell, C., Gómez, S. & Arenas, A. Dynamical interplay between awareness and epidemic spreading in multiplex networks. Physical review letters 111, 128701 (2013).
23. Granell, C., Gómez, S. & Arenas, A. Competing spreading processes on multiplex networks: awareness and epidemics. Physical Review E 90, 012808 (2014).
24. Kamp, C. Untangling the interplay between epidemic spread and transmission network dynamics. Plos Comput Biol 6, e1000984 (2010).
25. Fan, C.-j. et al. Effect of individual behavior on the interplay between awareness and disease spreading in multiplex networks. Physica A: Statistical Mechanics and its Applications 461, 523-530 (2016).
26. Massaro, E. & Bagnoli, F. Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method. Physical Review E 90, 052817 (2014).
27. Funk, S., Gilad, E., Watkins, C. & Jansen, V. A. The spread of awareness and its impact on epidemic outbreaks. Proceedings of the National Academy of Sciences 106, 6872-6877 (2009).
28. Guo, Q. et al. Epidemic spreading with activity-driven awareness diffusion on multiplex network. Chaos: An Interdisciplinary Journal of Nonlinear Science 26, 043110 (2016).
29. Wu, Q., Fu, X., Small, M. & Xu, X.-J. The impact of awareness on epidemic spreading in networks. Chaos: an interdisciplinary journal of nonlinear science 22, 013101 (2012).
30. Wang, W. et al. Suppressing disease spreading by using information diffusion on multiplex networks. Scientific reports 6 (2016).
31. Yang, H., Tang, M. & Gross, T. Large epidemic thresholds emerge in heterogeneous networks of heterogeneous nodes. Scientific reports 5 (2015).
32. Battiston, F., Nicosia, V. & Latora, V. Structural measures for multiplex networks. Physical Review E 89, 032804 (2014).
33. De Domenico, M. et al. Mathematical formulation of multilayer networks. Physical Review X 3, 041022 (2013).
34. Boccaletti, S. et al. The structure and dynamics of multilayer networks. Physics Reports 544, 1-122 (2014).
35. Hidalgo, C. A., Klinger, B., Barabási, A.-L. & Hausmann, R. The product space conditions the development of nations. Science 317, 482-487 (2007).
36. Orwat, C. & Bless, R. Values and networks: Steps toward exploring their relationships. ACM SIGCOMM Computer Communication Review 46, 25-31 (2016).
37. Di Stefano, A. et al. Quantifying the role of homophily in human cooperation using multiplex evolutionary game theory. Plos One 10, e0140646 (2015).
38. Scatà, M. et al. Combining evolutionary game theory and network theory to analyze human cooperation patterns. Chaos, Solitons & Fractals 91, 17-24 (2016).
39. Simon, H. A. Bounded rationality. In Utility and probability, 15-18 (Springer, 1990).
40. Li, M., Hu, M.-B. & Wang, B.-H. Transportation dynamic on coupled networks with limited bandwidth. arXiv preprint arXiv:1607. 05382 (2016).
41. Perkins, A., Siraj, A., Ruktanonchai, C. W., Kraemer, M. & Tatem, A. Model-based projections of zika virus infections in childbearing women in the americas. bioRxiv 039610 (2016).
42. Lessler, J. et al. Assessing the global threat from zika virus. Science aaf8160 (2016).
43. Mlakar, J. et al. Zika virus associated with microcephaly. New England Journal of Medicine 374, 951-958 (2016).
44. Fleming-Dutra, K. E. Update: interim guidelines for health care providers caring for infants and children with possible zika virus infection-united states, february 2016. MMWR. Morbidity and mortality weekly report 65 (2016).
45. Moreno, Y., Pastor-Satorras, R. & Vespignani, A. Epidemic outbreaks in complex heterogeneous networks. The European Physical Journal B-Condensed Matter and Complex Systems 26, 521-529 (2002).
46. Pandey, A., Mubayi, A. & Medlock, J. Comparing vector-host and sir models for dengue transmission. Mathematical biosciences 246, 252-259 (2013).
47. Stolerman, L. M., Coombs, D. & Boatto, S. Sir-network model and its application to dengue fever. SIAM Journal on Applied Mathematics 75, 2581-2609 (2015).
48. Yakob, L. & Clements, A. C. A mathematical model of chikungunya dynamics and control: the major epidemic on réunion island. Plos One 8, e57448 (2013).
49. Smith, D. L. et al. Ross, macdonald, and a theory for the dynamics and control of mosquito-transmitted pathogens. Plos pathog 8, e1002588 (2012).
50. Thangamani, S., Huang, J., Hart, C. E., Guzman, H. & Tesh, R. B. Vertical transmission of zika virus in aedes aegypti mosquitoes. The American Journal of Tropical Medicine and Hygiene 16-0448 (2016).
51. Cao-Lormeau, V.-M. et al. Guillain-barré syndrome outbreak associated with zika virus infection in french polynesia: a case-control study. The Lancet 387, 1531-1539 (2016).
52. Pecora, L. M., Sorrentino, F., Hagerstrom, A. M., Murphy, T. E. & Roy, R. Cluster synchronization and isolated desynchronization in complex networks with symmetries. Nature communications 5 (2014).
53. Christakis, N. A. & Fowler, J. H. The spread of obesity in a large social network over 32 years. New England journal of medicine 357, 370-379 (2007).
54. Cobb, J. S. Colombia declares end to Zika epidemic inside country. Published in: http://www. reuters. com/article/us-health-zikacolombia-idUSKCN1051UF (Date of access: 25/07/2016).
55. Faria, N. R. et al. Zika virus in the americas: Early epidemiological and genetic findings. Science 352, 345-349 (2016).
56. Wu, F. & Huberman, B. A. Novelty and collective attention. Proceedings of the National Academy of Sciences 104, 17599-17601 (2007).
57. Caldarelli, G. Scale-free networks: complex webs in nature and technology (Oxford University Press, 2007).
58. Schmitt, D. P., Allik, J., McCrae, R. R. & Benet-Martnez, V. The geographic distribution of big five personality traits patterns and profiles of human self-description across 56 nations. Journal of cross-cultural psychology 38, 173-212 (2007).
59. Healthmap-Health surveillance system. Retrivied from: http://www. healthmap. org (Date of access: 27/07/2016).
60. Knoema Data repository. Retrivied from: https://www. knoema. com (Date of access: 27/07/2016).
61. Catalano, R. Health, medical care, and economic crisis. New England Journal of Medicine 360, 749-751 (2009).
62. Moni, M. A. & Liò, P. Comor: a software for disease comorbidity risk assessment. Journal of clinical bioinformatics 4, 1 (2014).
63. Cristelli, M., Gabrielli, A., Tacchella, A., Caldarelli, G. & Pietronero, L. Measuring the intangibles: A metrics for the economic complexity of countries and products. Plos One 8, e70726 (2013).