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
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topCherkashin, 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
top- S. Preston, P. Heuveline, M. Guillot. Demography: Measuring and Modeling Population Processes, Wiley-Blackwell, 2000.
- A. I. Yashin, I.A. Yachin, A.S. Begun. Mortality modeling: A review, Mathematical Population Studies, 4 (2000), 305-332.
- S.D. Tuljapurkar. Population Dynamics in Variable Environments. Lecture Notes in Biomathematics, N 85, New York, Springer, 1990.
- J.L. Bobadilla, C.A. Costello, F. Mitchell (Ed.) Premature Death in the New Independent States, Washington, National Academy Press, 1997.
- 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.
- I.A. Gundarov. Demographic Catastrophe in Russia, Moscow, URSS, 2001.
- 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.
- Ya.A. Leshchenko (Ed.). Public Health as a Crucial Component of Human Capital, Irkutsk, Reproduction Center, 2005.
- L.A. Gavrilov, N.S. Gavrilova. The Biology of Lifetime, Moscow, Nauka, 1991.
- V.N. Yarygin. Health as a Biological Category: Basic mechanisms and Evolutionary Strategy, Selected Lectures for Practitioners, Moscow, 2002, 322-310.
- A.K. Cherkashin. Polysystem Analysis and Synthesis. Application in Geography, Novosibirsk, Nauka, 1997.
- A.K. Cherkashin. Polysystem Modelling, Novosibirsk, Nauka, 2005.
- A.K. Cherkashin. Polysystem Modelling of Geographical Processes and Phenomena in Nature and Society, Mathematical Modelling of Natural Phenomena, 5 (2009), 4-20.
- D.R. Anderson. Model based Inference in the life sciences, New York-Berlin-Heidelberg, Springer Verlag, 2008.
- 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.
- L. See, S. Openshaw. A hybrid multi-model approach to river level forecasting. Hydrological Sciences-Journal-des Sciences Hydrologiques, 45, 4 (2000), 523-536.
- 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.
- 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.
- B.T. Velichkovsky. Social Stress, Labor Motivation and Health, Moscow, Zashchita, 2005.
- V. Shkolnikov, E. Andreyev, T. Moleva (Eds). Inequality and Mortality in Russia, Moscow, Carnegie Moscow Center, 2000.
- L.L. Rybakovsky. Applied Demography, Moscow, ISPI RAN, 2003.
- V.N. Rudenko. The demographic crisis in Russia: causes and consequences, Vestnik Uralskogo otdeleniya RAN, 1 (2007), 103-118.
- A.V. Shafirkin. Influence of chronic psychoemotional stress on population health, Avikosmicheskaya i ekologicheskaya meditsina, 3 (2003), 31-38.
- 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.
- W.C. Cockerham. Health and social change in Russia and eastern Europe, New York, Routledge, 1999.
- V. Chkolnikov, M. McKee, D.A. Leon. Changes in life expectancy in Russia in the mid-1990s, Lancet, 357 (2001), 917-921.
- P.V. Simonov. The Emotional Brain, Moscow, Nauka, 1981.
- P.V. Simonov. The necessities-and-information theory of emotions, Voprosy psikhologii, 6 (1982), 44-56.
- 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.
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