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Abstract and Applied Analysis
Volume 2014, Article ID 875474, 5 pages
http://dx.doi.org/10.1155/2014/875474
Research Article

Estimation of Hospital Potential Capacity and Basic Reproduction Number

1Information Department, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
2Information Department, Daping Hospital, Third Military Medical University, Chongqing 400042, China

Received 7 January 2014; Accepted 5 February 2014; Published 6 March 2014

Academic Editor: Weiming Wang

Copyright © 2014 Fei Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Appleby, “The hospital bed: on its way out?” British Medical Journal, vol. 346, no. 11, p. f1563, 2013. View at Google Scholar
  2. P. R. Harper and A. K. Shahani, “Modelling for the planning and management of bed capacities in hospitals,” Journal of the Operational Research Society, vol. 53, no. 1, pp. 11–18, 2002. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  3. A. Marshall, C. Vasilakis, and E. El-Darzi, “Length of stay-based patient flow models: recent developments and future directions,” Health Care Management Science, vol. 8, no. 3, pp. 213–220, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. S. Gallivan, M. Utley, T. Treasure, and O. Valencia, “Booked inpatient admissions and hospital capacity: mathematical modelling study,” British Medical Journal, vol. 324, no. 5, pp. 280–282, 2002. View at Google Scholar · View at Scopus
  5. B. Rechel, S. Wright, J. Barlow, and M. McKee, “Hospital capacity planning: from measuring stocks to modelling flows,” Bulletin of the World Health Organization, vol. 88, no. 8, pp. 632–636, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. M. J. Côté, “Understanding patient flow,” Decision Line, vol. 31, no. 1, pp. 8–10, 2000. View at Google Scholar
  7. O. Diekmann, J. A. Heesterbeek, and J. A. Metz, “On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations,” Journal of Mathematical Biology, vol. 28, no. 4, pp. 365–382, 1990. View at Google Scholar · View at Scopus
  8. P. van den Driessche and J. Watmough, “Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission,” Mathematical Biosciences, vol. 180, pp. 29–48, 2002. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  9. A. Cori, N. M. Ferguson, C. Fraser, and S. Cauchemez, “A new framework and software to estimate time-varying reproduction numbers during epidemics,” The American Journal of Epidemiology, vol. 178, no. 9, pp. 1505–1512, 2013. View at Google Scholar
  10. E. Vynnycky, A. Trindall, and P. Mangtani, “Estimates of the reproduction numbers of Spanish influenza using morbidity data,” International Journal of Epidemiology, vol. 36, no. 4, pp. 881–889, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. H. F. Huo, S. J. Dang, and Y. N. Li, “Stability of a two-strain tuberculosis model with general contact rate,” Abstract and Applied Analysis, vol. 2010, Article ID 293747, 31 pages, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  12. S. Liao, W. Yang, and X. Chen, “The basic reproduction number for the cholera outbreak,” Journal on Numerical Methods and Computer Applications, vol. 33, no. 3, pp. 189–197, 2012. View at Google Scholar · View at Zentralblatt MATH
  13. Health and Family Planning Commission of Chongqing, http://www.cqwsj.gov.cn/jyzn/yyxx/2012-8/10653.html.
  14. Chongqing Municipal Bureau of Statistics, http://www.cqtj.gov.cn/tjnj/2012/indexch.htm.
  15. J. Y. Zhang and B. Y. Feng, Geometric Theory of Ordinary Differential Equations and Bifurcation Problems, Peking University Press, Beijing, China, 2000 (Chinese).
  16. C. Fraser, S. Riley, R. M. Anderson, and N. M. Ferguson, “Factors that make an infectious disease outbreak controllable,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 16, pp. 6146–6151, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. N. M. Ferguson, D. A. T. Cummings, C. Fraser, J. C. Cajka, P. C. Cooley, and D. S. Burke, “Strategies for mitigating an influenza pandemic,” Nature, vol. 442, no. 7101, pp. 448–452, 2006. View at Publisher · View at Google Scholar · View at Scopus