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COVID-19 mortality data and level of democracy in post-communist countries: Data sources and accuracy

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F25%3A10503386" target="_blank" >RIV/00216208:11310/25:10503386 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=f5Ty3Z3EWT" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=f5Ty3Z3EWT</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/mgr-2025-0014" target="_blank" >10.2478/mgr-2025-0014</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    COVID-19 mortality data and level of democracy in post-communist countries: Data sources and accuracy

  • Popis výsledku v původním jazyce

    Emerging studies highlight the potential influence of different political regimes on COVID-19 mortality statistics reliability. This study has two objectives: first, to analyze COVID-19 mortality datasets and identify accurate sources for post-communist countries of the European Union and former Soviet Union; second, to examine the relations between COVID-19 mortality data quality and democracy levels in these countries. Given limited open access or transparent national data sources in some countries, this analysis seeks to help researchers identify optimal existing sources for these regions. Observed mortality levels during the pandemic were evaluated in relation to democracy levels to explore associations between governance and data reporting practices. Two mortality indicators (excess mortality and undercount ratio of deaths) were analyzed over 2020-2021 based on three international databases:World Health Organization (WHO), United Nations World Population Prospects (UN WPP), and World Mortality Dataset (WMD). These sources were crucial since some post-communist countries&apos; national statistical offices do not publish mortality data publicly. The Democracy Index from The Economist Intelligence Unit (2019-2021) was used for democracy classification. Countries were grouped based on mortality characteristics, using cluster analysis. Results suggest that lower democracy levels may be a risk factor for transparency in health data reporting.

  • Název v anglickém jazyce

    COVID-19 mortality data and level of democracy in post-communist countries: Data sources and accuracy

  • Popis výsledku anglicky

    Emerging studies highlight the potential influence of different political regimes on COVID-19 mortality statistics reliability. This study has two objectives: first, to analyze COVID-19 mortality datasets and identify accurate sources for post-communist countries of the European Union and former Soviet Union; second, to examine the relations between COVID-19 mortality data quality and democracy levels in these countries. Given limited open access or transparent national data sources in some countries, this analysis seeks to help researchers identify optimal existing sources for these regions. Observed mortality levels during the pandemic were evaluated in relation to democracy levels to explore associations between governance and data reporting practices. Two mortality indicators (excess mortality and undercount ratio of deaths) were analyzed over 2020-2021 based on three international databases:World Health Organization (WHO), United Nations World Population Prospects (UN WPP), and World Mortality Dataset (WMD). These sources were crucial since some post-communist countries&apos; national statistical offices do not publish mortality data publicly. The Democracy Index from The Economist Intelligence Unit (2019-2021) was used for democracy classification. Countries were grouped based on mortality characteristics, using cluster analysis. Results suggest that lower democracy levels may be a risk factor for transparency in health data reporting.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50402 - Demography

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Moravian Geographical Reports

  • ISSN

    1210-8812

  • e-ISSN

    2199-6202

  • Svazek periodika

    33

  • Číslo periodika v rámci svazku

    3

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    9

  • Strana od-do

    176-184

  • Kód UT WoS článku

    001588155400004

  • EID výsledku v databázi Scopus

    2-s2.0-105018489436