Contribution of ICTs to the Environmental and Human Risk

Varování

Publikace nespadá pod Lékařskou fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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DUŠEK Ladislav HOLOUBEK Ivan KOPTÍKOVÁ Jana JARKOVSKÝ Jiří KUBÍK Vratislav RÁČEK Jaroslav HŘEBÍČEK Jiří

Rok publikování 2006
Druh Článek ve sborníku
Konference Proceedings of the 2nd International Summer School on Computational Biology
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
Obor Vliv životního prostředí na zdraví
Klíčová slova environmental risk assessment; human risk assessment; environmental informatics
Popis This paper is aimed to introduce the topic of human and environmental risk assessment from the viewpoint of information a communication technologies and to provide basic overview of consecutive methodical steps in this multitask process. Simplified definition of most important methodical components is explained with special focus on exposure assessment and the analyses of toxic biological effects. Data processing and optimized information management flow are indispensable parts of all the steps and bear responsibility not only for common outcomes like data summaries and risk characterization. Information and communication technologies take important role from the very beginning of the assessment process (experimental design, sampling plans, and scenarios) to the last point including an analysis of uncertainties. Information and communication technologies and data analyses form a base namely for the empirical phases of the process and determine the success of environmental monitoring, multivariate modelling and reliability of the estimates of final measures. In the case of biological effect evaluation, the attention is paid namely to the dose response modelling while environmental monitoring and exposure assessment work predominantly with multivariate factorial or discrimination models. Emvironmental risk assessment can theoretically employ any type of biological data from molecular markers to biodiversity indices and therefore, none method of data analysis can be excluded from the usable list. That is why we rather tried to provide general methodical scheme than detailed listing of all available analytical techniques.
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