Information content of contact-pattern representations and predictability of epidemic outbreaks

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Holme, Petter ^a  

^a Sungkyunkwan University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; COMMUNICABLE DISEASES; CONTACT EXAMINATION; EPIDEMIC; HUMAN; STATISTICAL MODEL; TIME FACTOR; TRANSMISSION;

ALGORITHMS; COMMUNICABLE DISEASES; CONTACT TRACING; DISEASE OUTBREAKS; HUMANS; MODELS, STATISTICAL; TIME FACTORS;

EID: 84942743520     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep14462     Document Type: Article

References (39)

1. Anderson, R. M., May R. M. Infectious diseases of humans. (Oxford University Press, 1991).
2. Hethcote, H. W. The mathematics of infectious diseases. SIAM Rev. 42, 599-653 (2000).
3. Holme, P., Sarami, J. Temporal networks. Phys. Rep. 519, 97-125 (2012).
4. Masuda, N., Holme, P. Predicting and controlling infectious disease epidemics using temporal networks. F1000Prime Rep. 5, 6 (2013).
5. Bansal, S., Read, J., Pourbohloul, B., Meyers L. A. The dynamic nature of contact networks in infectious disease epidemiology. J. Biol. Dyn. 4, 478-489 (2010).
6. Morris, M. Network epidemiology: A handbook for survey design and data collection. (Oxford University Press, 2004).
7. Keeling, M. J., Eames, K. T. D. Networks and epidemic models. J. R. Soc. Interface 2, 295-307 (2005).
8. Pastor-Satorras, R., Castellano, C., van Mieghem, P., Vespignani, A. Epidemic processes in complex networks. Rev. Mod. Phys. 87, 925-979 (2015).
9. Holme, P., Takaguchi, T. Time evolution of predictability of epidemics on networks. Phys. Rev. E 91, 042811 (2015).
10. Holme, P. Epidemiologically optimal static networks from temporal network data. PLoS Comput. Biol. 9, e1003142 (2013).
11. Liljeros, F., Edling, C. R., Amaral, L. A. N. Sexual networks: implications for the transmission of sexually transmitted infections. Microb. Infect. 5, 189-196 (2003).
12. Liu, S., Perra, N., Karsai, M., Vespignani, A. Controlling contagion processes in activity driven networks. Phys. Rev. Lett. 112, 118702 (2014).
13. Rocha, L. E. C., Liljeros, F., Holme, P. Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts. PLoS Comp. Biol. 7, e1001109 (2011).
14. Fefferman, N. H., Ng, K. L. How disease models in static networks can fail to approximate disease in dynamic networks. Phys. Rev. E 76, 031919 (2007).
15. Karsai, M. et al. Small but slow world: how network topology and burstiness slow down spreading. Phys. Rev. E 83, 025102 (2011).
16. Holme, P., Liljeros, F. Birth and death of links control disease spreading in empirical contact networks. Sci. Rep. 4, 4999 (2014).
17. Lee, S., Rocha, L. E. C., Liljeros, F., Holme, P. Exploiting temporal network structures of human interaction to effectively immunize populations. PLoS ONE 7, e36439 (2012).
18. Starnini, M., Machens, A., Cattuto, C., Barrat, A., Pastor-Satorras, R. Immunization strategies for epidemic processes in timevarying contact networks. J. Theor. Biol. 337, 89-100 (2013).
19. Granell, C., Gez, S., Arenas, A. Dynamical interplay between awareness and epidemic spreading in multiplex networks. Phys. Rev. Lett. 111, 128701 (2013).
20. Bifolchi, N., Deardon, R., Feng, Z. Spatial approximations of network-based individual level infectious disease models. Spatial and Spatio-temporal Epidemiology 6, 59-70 (2013).
21. Boccaletti, S. et al. The structure and dynamics of multilayer networks. Phys. Rep. 544, 1-122 (2014).
22. Eagle, N., Pentland, A. Reality mining: Sensing complex social systems. Pers. Ubiquit. Comput. 10, 255-268 (2006).
23. Pfitzner, R., Scholtes, I., Garas, A., Tessone, T. J., Schweitzer, F. Betweenness preference: Quantifying correlations in the topological dynamics of temporal networks. Phys. Rev. Lett. 110, 198701 (2013).
24. Isella, L. et al. What's in a crowd Analysis of face-to-face behavioral networks. J. Theor. Biol. 271, 166-180 (2011).
25. Stehl J. et al. High-resolution measurements of face-to-face contact patterns in a primary school. PLoS ONE 6, e23176 (2011).
26. Vanhems, P. et al. Estimating potential infection transmission routes in hospital wards using wearable proximity sensors. PLoS ONE 8, e73970 (2013).
27. van den Broeck, W., Quaggiotto, M., Isella L., Barrat, A., Cattuto, C. The making of sixty-nine days of close encounters at The Science Gallery. Leonardo 45, 201-202 (2012).
28. Rocha, L. E. C., Liljeros, F., Holme, P. Information dynamics shape the sexual networks of Internet-mediated prostitution. Proc. Natl. Acad. Sci. USA 107, 5706-5711 (2010).
29. Holme, P. Model versions and fast algorithms for network epidemiology. Journal of Logistical Engineering University 30, 1-7 (2014).
30. Bansal, S., Grenfell, B. T., Meyers, L. A. When individual behaviour matters: homogeneous and network models in epidemiology. J. Roy. Soc. Interface 4, 879-891 (2007).
31. Karsai, M., Perra, N., Vespignani, A. Time varying networks and the weakness of strong ties. Sci. Rep. 4, 4001 (2014).
32. Barthelemy, M., Barrat, A., Pastor-Satorras, R., Vespignani, A. Velocity and hierarchical spread of epidemic outbreaks in scalefree networks. Phys. Rev. Lett. 92, 178701 (2004).
33. Holme, P. Extinction times of epidemic outbreaks in networks. PLoS ONE 8, e84429 (2013).
34. Meyers, L. A., Pourbohloul, B., Newman, M. E. J., Skowronski, D. M., Brunham, R. C. Network theory and SARS: Predicting outbreak diversity. J. Theor. Biol. 232, 71-81 (2005).
35. Newman, M. E. J. Networks: An introduction. (Oxford University Press, 2010).
36. Volz, E. M., Miller, J. C., Galvani, A., Meyers, L. A. Effects of heterogeneous and clustered contact patterns on infectious disease dynamics. PLoS Comput. Biol. 7, e1002042 (2011).
37. Holme, P., Masuda, N. The basic reproductive number as a predictor for epidemic outbreaks in temporal networks. PLoS ONE. 10, 0120567 (2015).
38. Janson, S., Luczak, M., Windridge, P. Law of large numbers for the SIR epidemic on a random graph with given degrees. Random Struct. Algor. 45, 724-761 (2013).
39. Rocha, L. E. C., Blondel, V. D. Bursts of vertex activation and epidemics in evolving networks. PLoS Comput. Biol. 9, e1002974 (2013).