Chernobyl and the Mortality Crisis in Eastern Europe and the Former USSR

Author:   José A. Tapia
Publisher:   De Gruyter
Volume:   11
ISBN:  

9783111530727


Pages:   148
Publication Date:   17 June 2024
Format:   Paperback
Availability:   Available To Order   Availability explained
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Chernobyl and the Mortality Crisis in Eastern Europe and the Former USSR


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Overview

Before the COVID-19 pandemic, the mortality crisis which affected Eastern Europe and the republics of the former USSR at the time of the transition to a market economy was arguably the major peacetime health crisis of recent decades. Chernobyl and the Mortality Crisis in Eastern Europe and the Old USSR discusses the importance of that crisis, surprisingly underplayed in the scientific literature, and presents evidence suggesting a potential role of the Chernobyl disaster among the causes contributing to it.

Full Product Details

Author:   José A. Tapia
Publisher:   De Gruyter
Imprint:   De Gruyter
Volume:   11
Weight:   0.383kg
ISBN:  

9783111530727


ISBN 10:   3111530728
Pages:   148
Publication Date:   17 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

"""That the Chernobyl disaster contributed decisively - though to an extent yet to be determined - to the public health crisis in Russia, Ukraine, Belarus, and Bulgaria, is the key notion in this book. An intriguing hypothesis that is cogently argued and that has important implications for our future."" Fernando J. Garc�a L�pez, National Epidemiology Centre, Carlos III Health Institute, Madrid, Spain ""This book poses that some unknown fraction of the mortality crisis in Eastern Europe could plausibly be due to radioactivity. Its value is in combining the different strands of the argument - including some that are not so well known - to support a hypothesis but not to claim that it is fully proved or disproved by the evidence."" Edward L. Ionides, Professor of Statistics, University of Michigan, Ann Arbor, USA"


Author Information

José A. Tapia Granados, Drexel University, Philadelphia, Pennsylvania, USA.

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