References

Data sources (online)

General Info

Software

Stochastic Epidemiology Literature


Bailey N. T. J. (1975). The Mathematical Theory of Infectious Diseases and its Applications. London: Griffin.

Barbour, A.D. and Utev, S. (2004). Approximating the Reed--Frost epidemic process. Stochastic Processes and their applications. 113, 173-197. Available at www.sciencedirect.com/science/article/pii/S0304414904000614

Becker, N.G. (1989). Analysis of Infectious Disease Data. London: Chapman and Hall.

Becker, N.G. (1993). Martingale methods for the analysis of epidemic data. Statist. Meth. Med. Research. 2, 93-112. Available at journals.sagepub.com/doi/abs/10.1177/096228029300200106

Becker, N. , Lefevre, Cl. and Utev, S. (2007). Estimating protective vaccine efficacy from large trials with recruitment. Statistical Planning and Inference. 137, 907-914. Available at www.sciencedirect.com/science/article/abs/pii/S0378375806001509

Becker, N.G. and Utev, S. (1998). Vaccination intervention to prevent the spread of the measles epidemic amongst young adults in Melbourne, VIC, Australia, technical report.

Becker, N.G. and Utev, S. (1998). The effect of community structure on the immunity coverage required to prevent epidemics. Mathematical Biosciences. 147, 23-39. Available at www.sciencedirect.com/science/article/abs/pii/S0025556497000795?via%3Dihub

Becker, N.G. and Utev, S. (2001). A Distribution Functionals Arising in Epidemic Control. In: Probability and Statistical Models with Applications. Eds. Ch. A. Charalambides, M.V. Koutras and N. Balakrishnan. London: Chapman and Hall, p. 573-582.

Becker, N.G. and Utev, S. (2002). Protective vaccine efficacy when vaccine response is random. Biometrical Journal. 44, 29-42. Available at onlinelibrary.wiley.com/doi/abs/10.1002/1521-4036(200201)44:1%3C29::AID-BIMJ29%3E3.0.CO;2-8

Becker, N.G. and Utev, S. (2003). Preventing epidemics in heterogeneous environments. In: Highly structured Stochastic systems. Oxford university press, 333-353. Available at openresearch-repository.anu.edu.au/handle/1885/85691

Lefevre, Cl., Loisel, S., Tamturk, M., and Utev, S. (2018). A quantum-type approach to non-life insurance risk modelling. Risks. 6, 1-17. Available at www.mdpi.com/2227-9091/6/3/99/htm

Lefevre, Cl, Picard, P., and Utev, S. (2020). On branching models with alarm triggerings. Applied Probability Journals.

Lefevre, Cl. and Utev, S. (1995). Poisson Approximation for the final state of a generalized epidemic processes. The Annals of Probability. 23, 1139-1162. Available at projecteuclid.org/download/pdf_1/euclid.aop/1176988177

Lefevre, Cl. and Utev, S. (1997). Mixed Poisson approximation in the collective epidemic models. Stochastic Processes and Their Applications. 69, 217-246. Available at www.sciencedirect.com/science/article/pii/S0304414997000501

Lefevre, Cl., Uteva, N., and Utev, S. (2000). Geometric approximation for the functioning time of a large system. In: Proceedings of MMR 2000 congress. Eds Nikitin et al.

Lefevre, Cl. and Utev, S. (2007). Epidemic modelling. Technical report of Universite Libre de Bruxelles.

Ma, X and Utev, S. (2012). Modelling the share prices as a hidden random walk on the lamplighter group. In.: Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, 2012. Available at doi.org/10.1007/978-88-470-2342-0_31

Merlevede, F., Peligrad, P., and Utev, S. (2019). Functional Gaussian Approximation for dependent structures. Oxford University press.