References
- Anderson, R. M., May, R. M., Boily, M. C., Garnett, G. P., & Rowley, J. T., 1991, The spread of HIV-1 in Africa: sexual contact patterns and the predicted demographic impact of AIDS. Nature, 352: 581-589. https://doi.org/10.1038/352581a0
- Barabasi, A. L., Albert, R., & Jeong, H., 2000, Scale-free characteristics of random networks: the topology of the world-wide web. Physica A, 281: 69-77. https://doi.org/10.1016/S0378-4371(00)00018-2
- Danon, L., Ford, A. P., House, T., Jewell, C. P., Keeling, M. J., Roberts, G. O., Ross, J. V., & Vernon, M. C., 2011, Networks and the epidemiology of infectious disease. Interdisciplinary Perspectives on Infectious Diseases, 284909.
- Eames, K. T. D., 2008, Modelling disease spread through random and regular contacts in clustered populations. Theoretical Population Biology, 73: 104-111. https://doi.org/10.1016/j.tpb.2007.09.007
- Fraser, C., Riley, S., Anderson, R. M., & Ferguson, N. M., 2004, Factors that make an infectious disease outbreak controllable. Procedures of the National Academy Of Sciences USA, 101: 6146-6151. https://doi.org/10.1073/pnas.0307506101
- Gong, K., Tang, M., Hui, P. M., Zhang, H. F., Younghae, D., & Lai, Y. C., 2013, An efficient immunization strategy for community networks. PLOS. Computational biology, 8(12): 1-11. e83489.
- Hayama, Y., Muroga, N., Nishida, T., Kobayashy, S., & Tsutsui, T., 2012, Risk factors for local spread of foot-and-mouth disease, 2010 epidemic in Japan. Research in Veterinary Science, 93: 631-635. https://doi.org/10.1016/j.rvsc.2011.09.001
- Haydon, D. T., Chase, M., Shaw, D. J., Matthews, L., Friar, J. K., Wilesmith, J., & Woolhouse, M. E. J. , 2003, The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak. Procedures of the Royal Society, 270: 121-127. https://doi.org/10.1098/rspb.2002.2191
- Hosseini, P. R., Fuller, T., Harrigan, R., Zhao, D., Arriola, C. S., Gonzalez, A., Miller, M. J., Xiao, X., Smith, T. B., Jones, J. H., & Daszak, P., 2013, Metapopulation dynamics enable persistence of influenza A, including A/H5N1, in poultry. PLOS. Computational biology, 8(12): e80091.
- House, T., Davies, G., Danon, L., & Keeling, M. J., 2009, A Motif-Based Approach to Network Epidemics. Bulletin of Mathematical Biology, 71(7): 1693-1706. https://doi.org/10.1007/s11538-009-9420-z
- Keeling, M. J. & Eames, K. T. D., 2005, Networks and Epidemic Models. Journal of the Royal Society Interface, 2: 295-307. https://doi.org/10.1098/rsif.2005.0051
- Keeling, M. J. & Rohani, P., 2008, Modeling Infectious Diseases. Princeton: Princeton University Press.
- Lee, H. J., Suh, K., Jung, N. S., Lee, I. B., Seo, I. H., Moon, O. K., & Lee, J. J., 2014, Prediction of the spread of highly pathogenic avian influenza using a multifactor network: Part 2 - Comprehensive network analysis with direct/indirect infection route. Biosystems Engineering, 118: 115-127. https://doi.org/10.1016/j.biosystemseng.2013.11.009
- Lloyd, A. L. & May, R. M., 2001, How viruses spread among computers and people. Science, 292: 1316-1317. https://doi.org/10.1126/science.1061076
- Riley, S. et al., 2003, Transmission dynamics of the etiological agent of SARS in Hong Kong: impact of public health interventions. Science, 300: 1961-1966. https://doi.org/10.1126/science.1086478
- Salathe, M. & Jones J. H., 2010, Dynamics and Control of Diseases in Networks with Community Structure. PLOS. Computational biology, 6(4): e1000736. https://doi.org/10.1371/journal.pcbi.1000736
- Shu, P., Tang, M., Gong, K., & Liu, Y., 2012, Effects of weak ties on epidemic predictability on community networks. Chaos, 22: 043124. https://doi.org/10.1063/1.4767955
- Smieszek, T., Fiebig, L., & Scholz, R. W., 2008, Models of epidemics: when contact repetition and clustering should be included. Theoretical Biology and Medical Modelling, 6(11): 1-15.
- Xu, Z., Zu, Z., Zheng, T., Zhang, W., Xu, Q., & Liu, J., 2010, Comparative analysis of the effectiveness of three immunization strategies in controlling disease outbreaks in realistic social networks. PLOS. Computational biology, 9(5): e95911.