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Mathematical Modelling with Chernobyl Registry Data

Registry and Concepts

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Mathematical Modelling with Chernobyl Registry Data Victor K. Ivanov
Libristo kod: 06809398
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, studeni 1995
In 1993 three institutes belonging respectively to the Heidelberg Academy for Humanities and Science... Cijeli opis
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In 1993 three institutes belonging respectively to the Heidelberg Academy for Humanities and Sciences, to the Russian Academy of Sciences, and to the Russian Academy of Medical Sciences, launched a cooperative research project. The main aim of the project is to develop mathematical methodologies needed for better information support in health policy decision-making in the area of primary health care provision for the Russian populations affected by radiation due to the Chernobyl accident. At present, the major data basis of the project is the Russian National medical and Dosimetric (Chernobyl) Registry administered at the Medical Radiological Research Centre, Obninsk. The book describes the general mathematical approaches to the project and the given conditions of the registry.

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Informacije o knjizi

Puni naziv Mathematical Modelling with Chernobyl Registry Data
Autor Victor K. Ivanov, Anatoli I. Michalski, Wolfgang Morgenstern, Gotthard Schettler, Anatoli F. Tsyb
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 1995
Broj stranica 110
EAN 9783540604112
ISBN 3540604111
Libristo kod 06809398
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 201
Dimenzije 155 x 235 x 8

Kategorija

Medicine & Nursing > Medicine: general issues > Public health & preventive medicine > Personal & public health > Environmental factors
Mathematics & Science > Mathematics > Applied mathematics > Mathematical modelling
Medicine & Nursing > Medical specialties, branches of medicine > Environmental medicine
Technology, Engineering, Agriculture > Technology: general issues > Maths for engineers
Technology, Engineering, Agriculture > Environmental science, engineering & technology
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