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Analysis of Health Status in the Czech Republic: 2019-2022 Trends

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00049898" target="_blank" >RIV/29142890:_____/25:00049898 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-82275-9_4" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-82275-9_4</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Health Status in the Czech Republic: 2019-2022 Trends

  • Original language description

    This study monitors the health profile in EU-27 countries, including the Czech Republic during the last four years. Selected period takes into account the duration of the Covid-19 pandemic. Aims: To construct the health profile scale for EU-27 member states in relation to COVID-19 and analyze regional similarities and disparities. Results for Czechia will be compared with EU average and EU-27. The health profile scoring of EU-27 countries was enumerated. The main data sources were the Eurostat Database and OECD. Results: EU-27 countries may be divided into six categories. Sweden, Germany, Netherlands and Austria have the best performance. Main disparities were found in measures: health expenditure per capita, outpatient care, inpatient care, long-term care and prevention. Conclusions: Measurement results may serve as recommendations towards social and health sector. Findings in this study may be considered in future research by analyzing further aspects of the population health status.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10700 - Other natural sciences

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Quantitative Methods and Data Analysis in Applied Demography - Volume 1

  • ISBN

    978-3-031-82275-9

  • Number of pages of the result

    9

  • Pages from-to

    39-47

  • Number of pages of the book

    277

  • Publisher name

    Springer Cham

  • Place of publication

    Switzerland

  • UT code for WoS chapter