Dynamics of history-dependent epidemics in temporal networks

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 92, Issue 2, 2015, Pages

  Sunny, Albert ^a   Kotnis, Bhushan ^a   Kuri, Joy ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CONDENSED MATTER PHYSICS;

COGNITIVE CAPACITY; DIFFUSION PROCESS; DYNAMICAL PROCESS; EPIDEMIC THRESHOLD; INTERACTION PATTERN; MEAN FIELD ANALYSIS; NEGATIVE CORRELATION; TEMPORAL NETWORKS;

EPIDEMIOLOGY;

BIOLOGICAL MODEL; COMPUTER SIMULATION; EPIDEMIC; MARKOV CHAIN; TIME;

COMPUTER SIMULATION; EPIDEMICS; MARKOV CHAINS; MODELS, BIOLOGICAL; TIME;

EID: 84939516499     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.92.022811     Document Type: Article

References (41)

1. C. Cattuto, W. Van den Broeck, A. Barrat, V. Colizza, J.-F. Pinton, and A. Vespignani, PLoS ONE 5, e11596 (2010). 1932-6203 10.1371/journal.pone.0011596
2. A. Barrat and C. Cattuto, in Temporal Networks (Springer, Berlin, 2013), pp. 191-216.
3. A. Vázquez, J. G. Oliveira, Z. Dezsö, K.-I. Goh, I. Kondor, and A.-L. Barabási, Phys. Rev. E 73, 036127 (2006). PLEEE8 1539-3755 10.1103/PhysRevE.73.036127
4. M. Seshadri, S. Machiraju, A. Sridharan, J. Bolot, C. Faloutsos, and J. Leskove, in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM, New York, 2008), pp. 596-604.
5. N. Eagle, A. S. Pentland, and D. Lazer, Proc. Natl. Acad. Sci. USA 106, 15274 (2009). PNASA6 0027-8424 10.1073/pnas.0900282106
6. R. K. Pan and J. Saramäki, Phys. Rev. E 84, 016105 (2011). PLEEE8 1539-3755 10.1103/PhysRevE.84.016105
7. H.-H. Jo, M. Karsai, J. Kertész, and K. Kaski, New J. Phys. 14, 013055 (2012). NJOPFM 1367-2630 10.1088/1367-2630/14/1/013055
8. M. Karsai, M. Kivelä, R. K. Pan, K. Kaski, J. Kertész, A.-L. Barabási, and J. Saramäki, Phys. Rev. E 83, 025102 (2011). PLEEE8 1539-3755 10.1103/PhysRevE.83.025102
9. N. Perra, A. Baronchelli, D. Mocanu, B. Gonçalves, R. Pastor-Satorras, and A. Vespignani, Phys. Rev. Lett. 109, 238701 (2012). PRLTAO 0031-9007 10.1103/PhysRevLett.109.238701
10. G. Miritello, E. Moro, and R. Lara, Phys. Rev. E 83, 045102 (2011). PLEEE8 1539-3755 10.1103/PhysRevE.83.045102
11. M. Karsai, N. Perra, and A. Vespignani, Sci. Rep. 4, 4001 (2014). 2045-2322 10.1038/srep04001
12. L. Ferreri, P. Bajardi, M. Giacobini, S. Perazzo, and E. Venturino, Phys. Rev. E 90, 012812 (2014). PLEEE8 1539-3755 10.1103/PhysRevE.90.012812
13. N. Perra, B. Gonçalves, R. Pastor-Satorras, and A. Vespignani, Sci. Rep. 2, 469 (2012). 2045-2322 10.1038/srep00469
14. J. L. Iribarren and E. Moro, Phys. Rev. Lett. 103, 038702 (2009). PRLTAO 0031-9007 10.1103/PhysRevLett.103.038702
15. B. Min, K.-I. Goh, and A. Vazquez, Phys. Rev. E 83, 036102 (2011). PLEEE8 1539-3755 10.1103/PhysRevE.83.036102
16. L. E. C. Rocha and V. D. Blondel, PLoS Comput. Biol. 9, e1002974 (2013). 1553-7358 10.1371/journal.pcbi.1002974
17. D. X. Horváth and J. Kertész, New J. Phys. 16, 073037 (2014). NJOPFM 1367-2630 10.1088/1367-2630/16/7/073037
18. T. Takaguchi, N. Masuda, and P. Holme, PloS One 8, e68629 (2013). 1932-6203 10.1371/journal.pone.0068629
19. C. Moore and M. E. J. Newman, Phys. Rev. E 61, 5678 (2000). 1063-651X 10.1103/PhysRevE.61.5678
20. R. Pastor-Satorras and A. Vespignani, Phys. Rev. Lett. 86, 3200 (2001). PRLTAO 0031-9007 10.1103/PhysRevLett.86.3200
21. L. B. Shaw and I. B. Schwartz, Phys. Rev. E 77, 066101 (2008). PLEEE8 1539-3755 10.1103/PhysRevE.77.066101
22. L. A. Meyers, M. Newman, and B. Pourbohloul, J. Theoret. Biol. 240, 400 (2006). JTBIAP 0022-5193 10.1016/j.jtbi.2005.10.004
23. M. Dickison, S. Havlin, and H. E. Stanley, Phys. Rev. E 85, 066109 (2012). PLEEE8 1539-3755 10.1103/PhysRevE.85.066109
24. P. Holme and J. Saramäki, Phys. Rep. 519, 97 (2012). PRPLCM 0370-1573 10.1016/j.physrep.2012.03.001
25. M. Starnini, A. Machens, C. Cattuto, A. Barrat, and R. Pastor-Satorras, J. Theoret. Biol. 337, 89 (2013). JTBIAP 0022-5193 10.1016/j.jtbi.2013.07.004
26. M. Starnini and R. Pastor-Satorras, Phys. Rev. E 89, 032807 (2014). PLEEE8 1539-3755 10.1103/PhysRevE.89.032807
27. P. Holme and J. Saramäki, Temporal Networks (Springer, Berlin, 2013).
28. N. Masuda and P. Holme, F1000 Prime Rep. 5, 1 (2013). 2051-7599 10.12703/P5-6
29. R. Joh, H. Wang, H. Weiss, and J. Weitz, Bull. Math. Biol. 71, 845 (2009). BMTBAP 0092-8240 10.1007/s11538-008-9384-4
30. H. Donabedian, J. Infect. 46, 207 (2003). JINFD2 0163-4453 10.1053/jinf.2002.1120
31. S. T. Rutherford and B. L. Bassler, Cold Spring Harbor Perspect. Med. 2, a012427 (2012). 2157-1422 10.1101/cshperspect.a012427
32. P. Holme and F. Liljeros, Sci. Rep. 4, 4999 (2014). 2045-2322 10.1038/srep04999
33. R. I. Dunbar, J. Human Evol. 22, 469 (1992). 0047-2484 10.1016/0047-2484(92)90081-J
34. R. I. Dunbar, Behav. Brain Sci. 16, 681 (1993). BBSCDH 0140-525X 10.1017/S0140525X00032325
35. R. Hill and R. Dunbar, Human Nature 14, 53 (2003). 1045-6767 10.1007/s12110-003-1016-y
36. L. Averell and A. Heathcote, J. Math. Psychol. 55, 25 (2011). JMTPAJ 0022-2496 10.1016/j.jmp.2010.08.009
37. R. Crane and D. Sornette, Proc. Natl. Acad. Sci. USA 105, 15649 (2008). PNASA6 0027-8424 10.1073/pnas.0803685105
38. P. Van Mieghem and R. van de Bovenkamp, Phys. Rev. Lett. 110, 108701 (2013). PRLTAO 0031-9007 10.1103/PhysRevLett.110.108701
39. P. S. Dodds and D. J. Watts, Phys. Rev. Lett. 92, 218701 (2004). PRLTAO 0031-9007 10.1103/PhysRevLett.92.218701
40. P. Dodds and D. Watts, J. Theoret. Biol. 232, 587 (2005). JTBIAP 0022-5193 10.1016/j.jtbi.2004.09.006
41. R. Colwell, P. Brayton, D. Herrington, B. Tall, A. Huq, and M. Levine, World J. Microbiol. Biotechnol. 12, 28 (1996). WJMBEY 0959-3993 10.1007/BF00327795