Mathematical Modeling and Quantitative Analysis of the Demographic and Ecological Aspects of Russian Supermortality

A. K. Cherkashin; Ya. A. Leshchenko

Mathematical Modelling of Natural Phenomena (2011)

  • Volume: 5, Issue: 6, page 243-258
  • ISSN: 0973-5348

Abstract

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We have carried out a polysystem analysis of the population dynamics by using a variety of hypotheses and their respective models based on different system interpretations of the phenomenon under investigation. Each of the models supplements standard dynamic equations for explaining the effects observed. A qualitative model-based analysis is made of the age-specific male mortality for a Siberian industrial city. The study revealed the tendencies for background mortality to increase with age and over time, which characterizes in an integral manner the influence of socio-ecological factors on the decline in population viability. It is shown that these tendencies are similar for different years and for different population age groups.

How to cite

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Cherkashin, A. K., and Leshchenko, Ya. A.. "Mathematical Modeling and Quantitative Analysis of the Demographic and Ecological Aspects of Russian Supermortality." Mathematical Modelling of Natural Phenomena 5.6 (2011): 243-258. <http://eudml.org/doc/197718>.

@article{Cherkashin2011,
abstract = {We have carried out a polysystem analysis of the population dynamics by using a variety of hypotheses and their respective models based on different system interpretations of the phenomenon under investigation. Each of the models supplements standard dynamic equations for explaining the effects observed. A qualitative model-based analysis is made of the age-specific male mortality for a Siberian industrial city. The study revealed the tendencies for background mortality to increase with age and over time, which characterizes in an integral manner the influence of socio-ecological factors on the decline in population viability. It is shown that these tendencies are similar for different years and for different population age groups.},
author = {Cherkashin, A. K., Leshchenko, Ya. A.},
journal = {Mathematical Modelling of Natural Phenomena},
keywords = {demographic crisis; mortality; socio-ecological factors; mathematical modeling; data analysis},
language = {eng},
month = {1},
number = {6},
pages = {243-258},
publisher = {EDP Sciences},
title = {Mathematical Modeling and Quantitative Analysis of the Demographic and Ecological Aspects of Russian Supermortality},
url = {http://eudml.org/doc/197718},
volume = {5},
year = {2011},
}

TY - JOUR
AU - Cherkashin, A. K.
AU - Leshchenko, Ya. A.
TI - Mathematical Modeling and Quantitative Analysis of the Demographic and Ecological Aspects of Russian Supermortality
JO - Mathematical Modelling of Natural Phenomena
DA - 2011/1//
PB - EDP Sciences
VL - 5
IS - 6
SP - 243
EP - 258
AB - We have carried out a polysystem analysis of the population dynamics by using a variety of hypotheses and their respective models based on different system interpretations of the phenomenon under investigation. Each of the models supplements standard dynamic equations for explaining the effects observed. A qualitative model-based analysis is made of the age-specific male mortality for a Siberian industrial city. The study revealed the tendencies for background mortality to increase with age and over time, which characterizes in an integral manner the influence of socio-ecological factors on the decline in population viability. It is shown that these tendencies are similar for different years and for different population age groups.
LA - eng
KW - demographic crisis; mortality; socio-ecological factors; mathematical modeling; data analysis
UR - http://eudml.org/doc/197718
ER -

References

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  1. S. Preston, P. Heuveline, M. Guillot. Demography: Measuring and Modeling Population Processes, Wiley-Blackwell, 2000.  
  2. A. I. Yashin, I.A. Yachin, A.S. Begun. Mortality modeling: A review, Mathematical Population Studies, 4 (2000), 305-332.  Zbl0984.92027
  3. S.D. Tuljapurkar. Population Dynamics in Variable Environments. Lecture Notes in Biomathematics, N 85, New York, Springer, 1990.  Zbl0704.92014
  4. J.L. Bobadilla, C.A. Costello, F. Mitchell (Ed.) Premature Death in the New Independent States, Washington, National Academy Press, 1997.  
  5. B.T. Velichkovsky. Viability of the Nation. Role of Social Stress and Genetic Processes in a Population in the Development of a Demographic Crisis and Change of Russia’s Population Health Status, Moscow, RAMN, 2008.  
  6. I.A. Gundarov. Demographic Catastrophe in Russia, Moscow, URSS, 2001.  
  7. Ya.A. Leshchenko. Crisis in Public Health and Socio-Demographic Development, Causes, Conditions of Overcoming, Irkutsk, East-Siberian Scientific Center of the Siberian Branch RAMS, 2006.  
  8. Ya.A. Leshchenko (Ed.). Public Health as a Crucial Component of Human Capital, Irkutsk, Reproduction Center, 2005.  
  9. L.A. Gavrilov, N.S. Gavrilova. The Biology of Lifetime, Moscow, Nauka, 1991.  
  10. V.N. Yarygin. Health as a Biological Category: Basic mechanisms and Evolutionary Strategy, Selected Lectures for Practitioners, Moscow, 2002, 322-310.  
  11. A.K. Cherkashin. Polysystem Analysis and Synthesis. Application in Geography, Novosibirsk, Nauka, 1997.  Zbl0902.92032
  12. A.K. Cherkashin. Polysystem Modelling, Novosibirsk, Nauka, 2005.  Zbl1173.86300
  13. A.K. Cherkashin. Polysystem Modelling of Geographical Processes and Phenomena in Nature and Society, Mathematical Modelling of Natural Phenomena, 5 (2009), 4-20.  Zbl1173.86300
  14. D.R. Anderson. Model based Inference in the life sciences, New York-Berlin-Heidelberg, Springer Verlag, 2008.  Zbl1277.62002
  15. K.P. Burnham, D.R. Anderson. Model Selection and Multimodel Inference: A Practical Information Theoretic Approach, New York-Berlin-Heidelberg, 2nd ed., Springer Verlag, 2002.  Zbl1005.62007
  16. L. See, S. Openshaw. A hybrid multi-model approach to river level forecasting. Hydrological Sciences-Journal-des Sciences Hydrologiques, 45, 4 (2000), 523-536.  
  17. T.N. Palmer, A. Alessandri, U. Andersen, P. Cantelaube, M. Davey, P. Delecluse, M. Deque, E. Diez, F.J. Doblas-Reyes, H. Feddersen, R. Graham, S. Gualdi, J.-F. Gueremy, R. Hagedorn, M. Hoshen, N. Keenlyside, M. Latif, A. Lazar, E. Maisonnave, V. Marletto, A.P. Morse, B. Orfila, P. Rogel, J.-M. Terres, M.C. Thomson. Development of a european multimodel ensemble system for seasonal-to-interannual prediction (DEMETER), Bull. Amer. Meteor. Soc., 85 (2004), 853-872.  
  18. A.G. Vishnevsky (Ed.). The Population of Russia 1997. The Fifth Annual Demographic Report, Moscow, INP RAN, Center for Demography and Human Ecology, Moscow, 1998.  
  19. B.T. Velichkovsky. Social Stress, Labor Motivation and Health, Moscow, Zashchita, 2005.  
  20. V. Shkolnikov, E. Andreyev, T. Moleva (Eds). Inequality and Mortality in Russia, Moscow, Carnegie Moscow Center, 2000.  
  21. L.L. Rybakovsky. Applied Demography, Moscow, ISPI RAN, 2003.  
  22. V.N. Rudenko. The demographic crisis in Russia: causes and consequences, Vestnik Uralskogo otdeleniya RAN, 1 (2007), 103-118.  
  23. A.V. Shafirkin. Influence of chronic psychoemotional stress on population health, Avikosmicheskaya i ekologicheskaya meditsina, 3 (2003), 31-38.  
  24. E.A. Tishuk. Some questions concerning health status of the population of the Russian Federation, Problemy sotsialnoi gigieny, zdravookhraneniya i istorii medistiny, 6 (2001), 3-8.  
  25. W.C. Cockerham. Health and social change in Russia and eastern Europe, New York, Routledge, 1999.  
  26. V. Chkolnikov, M. McKee, D.A. Leon. Changes in life expectancy in Russia in the mid-1990s, Lancet, 357 (2001), 917-921.  
  27. P.V. Simonov. The Emotional Brain, Moscow, Nauka, 1981.  
  28. P.V. Simonov. The necessities-and-information theory of emotions, Voprosy psikhologii, 6 (1982), 44-56.  
  29. J. Shen. On the foundations of vision modeling : I. Weber’s law and Weberized TV restoration, Physica D: Nonlinear Phenomena, 3-4 (2003), 241-251. Zbl1006.91057

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