A Stochastic Method for Solving Inverse Problems in Epidemic Modelling

F. Valafar und H. Valafar (Editoren)
In proceedings of Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'03), CSREA Press, Juni 2003
 

Abstract

We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected, that these inverse problems have solutions and that possible solutions can be approximated by local optimization methods, our optimization method worked well when applied to a model for the epidemics caused by Respiratory Syncytial Virus (RSV) and the empirical data of various locations. We conjecture that similar results can be obtained for other epidemics and other models.

Bibtex

@INPROCEEDINGS{novotni-2003-stochastic,
     author = {Novotni, Dominik and Weber, Andreas},
     editor = {Valafar, F. and Valafar, H.},
      title = {A Stochastic Method for Solving Inverse Problems in Epidemic Modelling},
  booktitle = {Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine
               and Biological Sciences (METMBS'03)},
       year = {2003},
      month = jun,
  publisher = {CSREA Press},
   abstract = {We describe a stochastic optimization method that can be used to solve inverse problems in epidemic
               modelling. Although in general it cannot be expected, that these inverse problems have solutions and
               that possible solutions can be approximated by local optimization methods, our optimization method
               worked well when applied to a model for the epidemics caused by Respiratory Syncytial Virus (RSV)
               and the empirical data of various locations. We conjecture that similar results can be obtained for
               other epidemics and other models.},
       isbn = {1-932415-04-1}
}