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Quantitative Demography And Health Estimates eBook

Healthy Life Expectancy, Templates For Direct Estimates From Life Tables And Other Applications

idioma: inglês
Editor: Springer Nature Switzerland, agosto de 2023 ‧
145,74€
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Ebook para ADE
This book provides new theoretic and applied material with focus on quantitative methods and data analysis techniques applied in demography, population studies, health issues and statistics. It discusses the quantitative techniques to estimate the healthy life expectancy by expanding the classical life tables to include the proportion with disability calculated from life tables, along with the Sullivan method. The provided templates apply immediately to the life tables from WHO, HMD, Eurostat and other life table providers. Furthermore, the book explores the possibility of creating new health indicators along with Covid-19 pandemic management, factors associated to loneliness and an alcohol indicator. Part of the book is devoted to mortality, epidemic models, and the supercentenarians age estimation. Data analysis and artificial intelligence methods are included to apply in demographic and socio-economic cases. By providing a methodology to cope with health problems in demography and society by quantifying important health parameters, this book is a valuable guide for researchers, theoreticians, and practitioners from various disciplines and especially health scientists, statisticians, economists, and sociologists.

Quantitative Demography And Health Estimates

Healthy Life Expectancy, Templates For Direct Estimates From Life Tables And Other Applications

Propriedade Descrição
ISBN: 9783031286971
Editor: Springer Nature Switzerland
Data de Lançamento: agosto de 2023
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Coleção: The Springer Series On Demographic Methods And Population Analysis
Classificação Temática: eBooks em Inglês > Ciências Sociais e Humanas > Sociologia
EAN: 9783031286971
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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