AUC GEOGRAPHICA
AUC GEOGRAPHICA

AUC Geographica (Acta Universitatis Carolinae Geographica) is a scholarly academic journal continuously published since 1966 that publishes research in the broadly defined field of geography: physical geography, geo-ecology, regional, social, political and economic geography, regional development, cartography, geoinformatics, demography and geo-demography.

AUC Geographica also publishes articles that contribute to advances in geographic theory and methodology and address the questions of regional, socio-economic and population policy-making in Czechia.

Periodical twice yearly.
Release dates: June 30, December 31

All articles are licenced under Creative Commons Attribution 4.0 International licence (CC BY 4.0), have DOI and are indexed in CrossRef database.

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The journal has been covered in the SCOPUS database since 1975 – today
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The journal has been indexed by the Polish Ministry of Science and Higher Education (MSHE) on the list of scientific journals recommended for authors to publish their articles. ICI World of Journals; Acta Universitatis Carolinae, Geographica.

Scopus Journal Metric

SJR (SCImago Journal Rank) (2020): 0.193
SNIP (Source Normalized Impact per Paper) (2020): 0.842
CiteScore (2020): 1.00

The journal is archived in Portico.

AUC GEOGRAPHICA, Vol 53 No 1 (2018), 3–9

Measuring population health in Moldova: health expectancies

Cristina Avram, Olga Gagauz

DOI: https://doi.org/10.14712/23361980.2018.1
announced: 18. 05. 2018

abstract

Health measures are decisive for the development and implementation of population health policies. Monitoring health indicators can lead to improvements in health and decrease in the inequalities among subpopulations. The life expectancy at birth for the Moldovan population did not increase considerably during the last decades, due to the social and economic crisis which led to high mortality and poor health. In Moldova, no aggregated health indicators are utilized for health monitoring. Therefore, the authors calculated health indicators to assess the population health and argue their importance. Mortality and subjective data on self-perceived health and self-rated morbidity from the Household Budget Survey was used for constructing period morbidity-mortality tables. Thus, the authors applied Sullivan’s method to calculate the life expectancy in very good/good/fair health and the life expectancy without chronic morbidity for the period 2006 - 2015. The life expectancies in very good/good/fair health showed a compression of morbidity in the older ages for both sexes, and for rural and urban types of residence. The life expectancies without chronic morbidity for males and for urban dwellers demonstrated an expansion of morbidity. Although the life expectancy is slowly increasing, the trends in population health are contradictory, depending on the applied measures. The health expectancy indicators, based on self-perceived health, depict the actual situation in the population health. These indicators are becoming more essential with the ageing process and can be used for the tailoring of social and health policies and services to the real needs of the population.

keywords: health expectancy; Sullivan’s method; self-rated chronic morbidity; self-perceived health; Republic of Moldova

Creative Commons License
Measuring population health in Moldova: health expectancies is licensed under a Creative Commons Attribution 4.0 International License.

210 x 297 mm
published: 2 x per year
print price: 200 czk
ISSN: 0300-5402
E-ISSN: 2336-1980

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