Impacts of COVID-19 pandemic through decomposition of life expectancy according to leading causes and place of death in Czechia
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
LX22NPO5101
European Union - Next Generation EU (Ministry of Education, Youth and Sports, NPO: EXCELES)
PubMed
38007583
PubMed Central
PMC10676350
DOI
10.1038/s41598-023-47949-1
PII: 10.1038/s41598-023-47949-1
Knihovny.cz E-zdroje
- MeSH
- COVID-19 * epidemiologie MeSH
- kardiovaskulární nemoci * epidemiologie MeSH
- lidé MeSH
- naděje dožití MeSH
- pandemie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
While the direct effects of the pandemic are well documented, less is known about the indirect ones, including changes in healthcare provision or human behavior. This paper aims to study the impact of indirect consequences on mortality, focusing on two leading causes (cardiovascular diseases, COVID-19) and places of death in Czechia, during the COVID-19 pandemic, one of the most severely affected European countries. The analysis was performed using data from the Czech Statistical Office and the Institute of Health Information and Statistics. The study compares annual mortality changes during three time periods: pre-pandemic (2018-2019), pandemic beginning and peaking (2020-2021), and pandemic fading (2022). Pandemic years were covered by the WHO public health emergency of international concern. Abridged life tables were computed, and Pollard's decomposition was used to calculate the contributions of causes and places of death on annual differences in life expectancy. Seasonal decomposition of monthly time series revealed an increase in cardiovascular mortality at home or in social care facilities corresponding to limitations in healthcare. While COVID-19 had a systemic negative effect on life expectancy during the pandemic, the impact of cardiovascular mortality according to place of death changed over time. This study contributes to the evidence base of systemic risks during health crises and emergency response.
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