The contact network of inpatients in a regional healthcare system. A longitudinal case study

Mathematical Population Studies

Volumn 14, Issue 4, 2007, Pages 269-284

  Liljeros, Fredrik ^a   Giesecke, Johan ^b   Holme, Petter ^c,d  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b KAROLINSKA INSTITUTE   (Sweden)

^c UNIVERSITY OF MICHIGAN   (United States)

^d MSC01 1070   (United States)

Author keywords

Assortative interaction; Clustering; Contact network; Hospital diseases; Network epidemiology; Social network

Indexed keywords

DISEASE TRANSMISSION; EPIDEMIOLOGY; HEALTH CARE; SOCIAL NETWORK;

EURASIA; EUROPE; NORTHERN EUROPE; SCANDINAVIA; STOCKHOLM [SWEDEN]; SWEDEN;

EID: 35848946393     PISSN: 08898480     EISSN: 1547724X     Source Type: Journal    
DOI: 10.1080/08898480701612899     Document Type: Article

References (19)

1. Anderson, R. M. and May, R. M. (1992) Infectious Diseases of Humans: Dynamics and Control, Oxford University Press, Oxford
2. Barabasi, A. L. and Albert, R. (1999) Emergence of scaling in random networks. Science, 286:5439, pp. 509-512.
3. Colgate, S. A., Stanley, E. A., Hyman, J. M., Layne, S. P. and Qualls, C. (1989) Risk Behavior-Based Model of the Cubic Growth of Acquired Immunodeficiency Syndrome in the United-States. Proceedings of the National Academy of Sciences of the United States of America, 86:12, pp. 4793-4797.
4. Chung, L. P. and Leung, P. C. (2003) SARS war; Combating the Disease, World Scientific, New Jersey
5. Gani, R. and Leach, S. (2001) Transmission potential of smallpox in contemporary populations. Nature, 414:6865, pp. 748-751.
6. Giesecke, J. (2002) Modern Infectious Disease Epidemiology, Arnold, London
7. Gould, I. M. (2005) The clinical significance of methicillin-resistant Staphylococcus aureus. Journal of Hospital Infection, 61:4, pp. 277-282.
8. (2004) Control of Communicable Diseases Manual, American Public Health Association, Washington, DC
9. Holme, P. (2005) Network reachability of real-world contact sequences. Physical Review E, 71:4, p. 46119.
10. Klemm, K. and Eguiluz, V. M. (2002) Highly clustered scale-free networks. Physical Review E, 65:3, p. 57102.
11. Meyers, L. A., Newman, M. E. J., Martin, M. and Schrag, S. (2003) Applying network theory to epidemics: Control measures for Mycoplasma pneumoniae outbreaks. Emerging Infectious Diseases, 9:2, pp. 204-210.
12. Moody, J. (2002) The importance of relationship timing for diffusion. Social Forces, 81:1, pp. 25-56.
13. Newman, M. E. J. (2002) Assortative mixing in networks. Physical Review Letters, 89:20, p. 208701.
14. Newman, M. E. J. (2003) Properties of highly clustered networks. Physical Review E, 68:2, p. 26121.
15. Peters, C. J. and LeDuc, J. W. (1999) An introduction to Ebola: The virus and the disease. Journal of Infectious Diseases, 179, pp. IX-XVI.
16. Price, D. J. D. (1976) General theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science, 27:5, pp. 292-306.
17. Szendroi, B. and Csanyi, G. (2004) Polynomial epidemics and clustering in contact.networks. Proc. R. Soc. Lon. B (Suppl. Biology Letters), 271, pp. 364-366.
18. Watts, D. J. (2003) Six Degrees: The Science of a Connected Age, W. W. Norton & Company, New York
19. (2004) The World health report: 2004 changing history, World Health Organization, Geneva