Excess Deaths associated with the COVID-19 Pandemic in Ukraine in 2020
Mehta, N.; Honchar, I.; Doroshenko, O.; Brovenchko, I.; Pak, K.; Danyuk, M.; Polikarchuk, P.
Show abstract
COVID-19 related mortality has been understudied in Ukraine. As part of a World Bank project, we estimated excess mortality in Ukraine during 2020. Data on all deaths registered in government-controlled Ukraine from 2016-2020 (N=2,946,505) were utilized. We predicted deaths in 2020 by five-year age groups, sex, and month and calculated the number of deaths that deviated from expected levels (excess deaths). We compared excess deaths with the number of recorded COVID-19 deaths on death certificates and with published estimates for 30 European countries. We estimated 38,095 excess deaths in 2020 (6% of all deaths). Death rates were above expected levels in February and from June-December and lower in January and March-May. From June-December, we estimated 52,124 excess deaths with a peak in November (16,891 deaths). COVID-19 recorded deaths were approximately one-third of excess deaths in June-December (18,959 vs. 52,124). Higher than expected mortality was detected for all age groups 40-44 years and above and for those ages 0-4, 15-19, and 20-24. Ukraines excess mortality was about average compared to 30 other European countries. Excess deaths may be attributed directly to SARS-COV2 infection or indirectly to death causes associated with social and economic upheavals resulting in from the pandemic. Lower than expected mortality during the early part of 2020 is consistent with low influenza activity and reductions in deaths from restricted movement. Further studies are required to examine the causes of death that have contributed to positive excess mortality, particularly among younger aged groups. Key MessagesO_LIUkraine has experienced sizeable changes in its recent demography and the impact of the COVID-19 pandemic on the countrys aggregate mortality patterns is understudied C_LIO_LIBased on recent death trends, we found that Ukraine experienced lower than expected mortality during the early part of 2020 and consistently higher than expected mortality from June-December with peak levels occurring in November C_LIO_LIPositive excess mortality was observed for all age groups beginning at ages 40-44 as well as some younger age groups. C_LI
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mortality in Switzerland in 2021 94%
- The lower COVID-19 related mortality and incidence rates in Eastern European countries are associated with delayed start of community circulation 93%
- Breakpoint modelling of temporal associations between non-pharmaceutical interventions and the incidence of symptomatic COVID-19 in the Republic of Ireland 93%
Similar papers in this journal
- The relative effects of non-pharmaceutical interventions on early Covid-19 mortality: natural experiment in 130 countries 93%
- Impact of non-pharmaceutical interventions on COVID-19 incidence and deaths: cross-national natural experiment in 32 European countries 92%
- The influence of COVID-19 risk perception and vaccination status on the number of social contacts across Europe: insights from the CoMix study 91%
Similar papers in this journal
- An international comparison of age and sex dependency of COVID-19 Deaths in 2020 - a descriptive analysis 94%
- Assessing the Impact of Human Mobility to Predict Regional Excess Death in Ecuador 93%
- Colder and drier winter conditions are associated with greater SARS-CoV-2 transmission: a regional study of the first epidemic wave in north-west hemisphere countries 91%
Similar papers in this journal
- Excess respiratory, circulatory, neoplasm and other mortality rates during the Covid-19 pandemic in the EU and their implications 95%
- Covid-19 and excess mortality rates not comparable across countries 95%
- Excess Mortality in the United States During the First Three Months of the COVID-19 Pandemic 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.