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Decision Support System for Sanitary Teams Activities

Decision Support System for Sanitary Teams Activities

Radosław Pytlak, Wojciech Stecz, Damian Suski, Tomasz Zawadzki
Copyright: © 2014 |Volume: 6 |Issue: 3 |Pages: 23
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466653658|DOI: 10.4018/ijdsst.2014070104
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MLA

Pytlak, Radosław, et al. "Decision Support System for Sanitary Teams Activities." IJDSST vol.6, no.3 2014: pp.65-87. http://doi.org/10.4018/ijdsst.2014070104

APA

Pytlak, R., Stecz, W., Suski, D., & Zawadzki, T. (2014). Decision Support System for Sanitary Teams Activities. International Journal of Decision Support System Technology (IJDSST), 6(3), 65-87. http://doi.org/10.4018/ijdsst.2014070104

Chicago

Pytlak, Radosław, et al. "Decision Support System for Sanitary Teams Activities," International Journal of Decision Support System Technology (IJDSST) 6, no.3: 65-87. http://doi.org/10.4018/ijdsst.2014070104

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Abstract

This paper describes the information system that has been built for the support of sanitary teams. The system is aimed at supporting analytical work which must be carried out when there is a risk of an 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, this paper shows 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.

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