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2014 | 11 | 19-28

Article title

System wspomagania pracy służb sanitarnych

Content

Title variants

EN
Support System of sanitary teams work

Languages of publication

Abstracts

EN
We describe the information system that has been built for the support sanitary teams. The system is aimed at supporting analytical work which must be carried out when there is a risk of epidemic outbreak. It is meant to provide tools for predicting the size of an epidemic on the basis of the actual data collected during its course. Since sanitary teams try to control the size of the epidemics such a tool must model also sanitary teams activities. As a result a model for the prediction can be quite complicated in terms of the number of equations it contains. Furthermore, since a model is based on several parameters there must be a tool for finding these parameters on the basis on the actual data corresponding to the epidemic evolution. The paper describes the proposition of such a system. It presents, in some details, the main components of the system. In particular, the environment for building complex models (containing not only the epidemic model but also activities of sanitary teams trying to inhibit the epidemic) is discussed. Then, the module for a model calibration is presented. The module is a part of server for solving optimal control problems and can be accessed via Internet. Finally, we show how optimal control problems can be constructed with the aim of the efficient epidemic management. Some optimal control problems related to that issue are discussed and numerical results of its solution are presented.

Year

Issue

11

Pages

19-28

Physical description

Dates

published
2014

Contributors

author
  • Wydział Mechatroniki, Politechnika Warszawska
author
  • Wydział Mechatroniki, Politechnika Warszawska
author
  • Wydział Mechatroniki, Politechnika Warszawska
author
  • Wojskowa Akademia Techniczna, Wydział Cybernetyki

References

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  • Kermack, W.O., McKendrick, A.G. (1933). Contributions to the mathematical theory of epidemics. Proceedings of the Royal Society of London. Series A, 141: 94-122.
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  • Annals of Mathematics and Artificial Intelligence. 2002, 34: 259-269.
  • Wallace, M. (2005). Hybrid algorithms, local search and ECLiPSe. CP Summer School.
  • Wallace, M., Schimpf, J. (2002). Finding the right hybrid algorithm - A combinatorial meta-problem. Annals of Mathematics and Artificial Intelligence, (34), 259-269.
  • Zawadzki, T., Pytlak, R. (2011). Extending System Dynamics Approach to Higher Index DAE's. Proceedings of the System Dynamics Society 2011 Conference July 24-26. Washington, USA.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1378308

YADDA identifier

bwmeta1.element.ojs-issn-1231-2037-year-2014-issue-11-article-bwmeta1_element_baztech-18d512ed-4122-46c3-bf3a-1ff61a2c6ea4
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