scholarly journals Excess mortality among the elderly in 12 European countries, February and March 2012

2012 ◽  
Vol 17 (14) ◽  
Author(s):  
A Mazick ◽  
B Gergonne ◽  
J Nielsen ◽  
F Wuillaume ◽  
M J Virtanen ◽  
...  
Keyword(s):  
Preliminary Data ◽  
Influenza A ◽  
Excess Mortality ◽  
The Elderly ◽  
European Countries ◽  
H3n2 Virus ◽  
All Cause Mortality ◽  
Cold Snap ◽  
The Impact ◽  
Excess Deaths

In February and March 2012, excess deaths among the elderly have been observed in 12 European countries that carry out weekly monitoring of all-cause mortality. These preliminary data indicate that the impact of influenza in Europe differs from the recent pandemic and post-pandemic seasons. The current excess mortality among the elderly may be related to the return of influenza A(H3N2) virus, potentially with added effects of a cold snap.

scholarly journals Excess mortality among the elderly in European countries, December 2014 to February 2015

2015 ◽  
Vol 20 (11) ◽  
Author(s):  
K Mølbak ◽  
L Espenhain ◽  
J Nielsen ◽  
K Tersago ◽  
N Bossuyt ◽  
...  
Keyword(s):  
Influenza A ◽  
Excess Mortality ◽  
Respiratory Infections ◽  
The Elderly ◽  
European Countries ◽  
Influenza Surveillance ◽  
Current Season ◽  
Excess Deaths

Since December 2014 and up to February 2015, the weekly number of excess deaths from all-causes among individuals?≥?65 years of age in 14 European countries have been significantly higher than in the four previous winter seasons. The rise in unspecified excess mortality coincides with increased proportion of influenza detection in the European influenza surveillance schemes with a main predominance of influenza A(H3N2) viruses seen throughout Europe in the current season, though cold snaps and other respiratory infections may also have had an effect.

scholarly journals Significant spike in excess mortality in England in winter 2014/15 – influenza the likely culprit

2018 ◽  
Vol 146 (9) ◽  
pp. 1106-1113 ◽  
Author(s):  
R. G. Pebody ◽  
H. K. Green ◽  
F. Warburton ◽  
M. Sinnathamby ◽  
J. Ellis ◽  
...  
Keyword(s):  
Poisson Regression ◽  
Influenza A ◽  
Excess Mortality ◽  
Extreme Temperature ◽  
The Elderly ◽  
Health Impact ◽  
Poisson Regression Model ◽  
Potential Health ◽  
All Cause Mortality

AbstractSignificant increases in excess all-cause mortality, particularly in the elderly, were observed during the winter of 2014/15 in England. With influenza A(H3N2) the dominant circulating influenza A subtype, this paper determines the contribution of influenza to this excess controlling for weather. A standardised multivariable Poisson regression model was employed with weekly all-cause deaths the dependent variable for the period 2008–2015. Adjusting for extreme temperature, a total of 26 542 (95% CI 25 301–27 804) deaths in 65+ and 1942 (95% CI 1834–2052) in 15–64-year-olds were associated with influenza from week 40, 2014 to week 20, 2015. This is compatible with the circulation of influenza A(H3N2). It is the largest estimated number of influenza-related deaths in England since prior to 2008/09. The findings highlight the potential health impact of influenza and the important role of the annual influenza vaccination programme that is required to protect the population including the elderly, who are vulnerable to a severe outcome.

scholarly journals Excess all-cause mortality during the COVID-19 pandemic in Europe – preliminary pooled estimates from the EuroMOMO network, March to April 2020

2020 ◽  
Vol 25 (26) ◽  
Author(s):  
Lasse S Vestergaard ◽  
Jens Nielsen ◽  
Lukas Richter ◽  
Daniela Schmid ◽  
Natalia Bustos ◽  
...  
Keyword(s):  
Public Health ◽  
Excess Mortality ◽  
European Countries ◽  
Public Health Action ◽  
Federal States ◽  
All Cause Mortality ◽  
Health Action ◽  
Excess Deaths

A remarkable excess mortality has coincided with the COVID-19 pandemic in Europe. We present preliminary pooled estimates of all-cause mortality for 24 European countries/federal states participating in the European monitoring of excess mortality for public health action (EuroMOMO) network, for the period March–April 2020. Excess mortality particularly affected  ≥ 65 year olds (91% of all excess deaths), but also 45–64 (8%) and 15–44 year olds (1%). No excess mortality was observed in 0–14 year olds.

scholarly journals Assessing the Impact of the Covid-19 Pandemic on US Mortality: A County-Level Analysis

2020 ◽  
Author(s):  
Andrew C Stokes ◽  
Dielle J Lundberg ◽  
Katherine Hempstead ◽  
Irma T Elo ◽  
Samuel H Preston
Keyword(s):  
Causes Of Death ◽  
Excess Mortality ◽  
Structural Characteristics ◽  
County Level ◽  
Structural Racism ◽  
All Cause Mortality ◽  
Black Residents ◽  
The Impact ◽  
Level Analysis ◽  
Excess Deaths

Covid-19 excess deaths refer to increases in mortality over what would normally have been expected in the absence of the Covid-19 pandemic. In this study, we take advantage of spatial variation in Covid-19 mortality across US counties to estimate its relationship with all-cause mortality. We then examine how the extent of excess mortality not assigned to Covid-19 varies across subsets of counties defined by demographic and structural characteristics. We estimate that 26.3% [95% CI, 20.1% to 32.5%] of excess deaths between February 1 and September 23, 2020 were ascribed to causes of death other than Covid-19 itself. Excess deaths not assigned to Covid-19 were even higher than predicted by our model in counties with high income inequality, low homeownership, and high percentages of Black residents, showing a pattern related to socioeconomic disadvantage and structural racism. The standard deviation of mortality across counties increased by 9.5% as a result of excess deaths directly assigned to Covid-19 and an additional 5.3% as a result of excess deaths not assigned to Covid-19. Our work suggests that inequities in excess deaths attributable to Covid-19 may be even greater than revealed by data reporting deaths assigned to Covid-19 alone.

scholarly journals Higher all-cause mortality in children during autumn 2009 compared with the three previous years: pooled results from eight European countries

2010 ◽  
Vol 15 (5) ◽  
Author(s):  
A Mazick ◽  
B Gergonne ◽  
F Wuillaume ◽  
K Danis ◽  
A Vantarakis ◽  
...  
Keyword(s):  
Preliminary Data ◽  
Excess Mortality ◽  
Seasonal Influenza ◽  
Influenza Pandemic ◽  
European Countries ◽  
All Cause Mortality ◽  
2009 Influenza Pandemic

The paper describes weekly fluctuations of all-cause mortality observed in eight European countries during the period between week 27 and 51, 2009, in comparison with three previous years. Our preliminary data show that the mortality reported during the 2009 influenza pandemic did not reach levels normally seen during seasonal influenza epidemics. However, there was a cumulative excess mortality of 77 cases (1 per 100,000 population) in 5-14-year-olds, and possibly also among 0-4-year-olds.

scholarly journals Estimating the impact of the 2009 influenza A(H1N1) pandemic on mortality in the elderly in Navarre, Spain

2010 ◽  
Vol 15 (5) ◽  
Author(s):  
J Castilla ◽  
J Etxeberria ◽  
E Ardanaz ◽  
Y Floristán ◽  
R López Escudero ◽  
...  
Keyword(s):  
Pandemic Influenza ◽  
Influenza A ◽  
Excess Mortality ◽  
Seasonal Influenza ◽  
The Elderly ◽  
Significant Excess ◽  
Influenza A H1n1 ◽  
The Mean ◽  
The Impact ◽  
Second Wave

We analysed mortality among people aged 65 years or older in Navarre, Spain in 2009 and compared it with the mean for the same period of time in the previous three years. In the pandemic weeks 24 to 52 2009 we observed 4.9% more deaths than expected (p=0.0268). Excess mortality occurred during the circulation of seasonal influenza (8.0%, p=0.0367) and the first wave of pandemic influenza (9.9%, p=0.0079). In the second wave of pandemic influenza there was a non-significant excess of deaths (5.2%, p=0.1166). Surveillance of laboratory-confirmed severe influenza cases detected only one death in this age group.

scholarly journals Pooling European all-cause mortality: methodology and findings for the seasons 2008/2009 to 2010/2011

2012 ◽  
Vol 141 (9) ◽  
pp. 1996-2010 ◽  
Author(s):  
J. NIELSEN ◽  
A. MAZICK ◽  
N. ANDREWS ◽  
M. DETSIS ◽  
T. M. FENECH ◽  
...  
Keyword(s):  
Influenza A ◽  
Excess Mortality ◽  
National Level ◽  
Age Groups ◽  
Pooled Analysis ◽  
European Countries ◽  
Younger Age ◽  
Influenza A H1n1 ◽  
All Cause Mortality ◽  
Fertile Women

SUMMARYSeveral European countries have timely all-cause mortality monitoring. However, small changes in mortality may not give rise to signals at the national level. Pooling data across countries may overcome this, particularly if changes in mortality occur simultaneously. Additionally, pooling may increase the power of monitoring populations with small numbers of expected deaths, e.g. younger age groups or fertile women. Finally, pooled analyses may reveal patterns of diseases across Europe. We describe a pooled analysis of all-cause mortality across 16 European countries. Two approaches were explored. In the ‘summarized’ approach, data across countries were summarized and analysed as one overall country. In the ‘stratified’ approach, heterogeneities between countries were taken into account. Pooling using the ‘stratified’ approach was the most appropriate as it reflects variations in mortality. Excess mortality was observed in all winter seasons albeit slightly higher in 2008/09 than 2009/10 and 2010/11. In the 2008/09 season, excess mortality was mainly in elderly adults. In 2009/10, when pandemic influenza A(H1N1) dominated, excess mortality was mainly in children. The 2010/11 season reflected a similar pattern, although increased mortality in children came later. These patterns were less clear in analyses based on data from individual countries. We have demonstrated that with stratified pooling we can combine local mortality monitoring systems and enhance monitoring of mortality across Europe.

scholarly journals Excess Deaths associated with the COVID-19 Pandemic in Ukraine in 2020

2021 ◽  
Author(s):  
Neil K. Mehta ◽  
Ihor Honchar ◽  
Olena Doroshenko ◽  
Igor Brovchenko ◽  
Khrystyna Pak ◽  
...  
Keyword(s):  
Excess Mortality ◽  
Age Groups ◽  
European Countries ◽  
List Type ◽  
Younger Age ◽  
Influenza Activity ◽  
Expected Mortality ◽  
The Impact ◽  
Excess Deaths

AbstractCOVID-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. Ukraine’s 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 MessagesUkraine has experienced sizeable changes in its recent demography and the impact of the COVID-19 pandemic on the country’s aggregate mortality patterns is understudiedBased 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 NovemberPositive excess mortality was observed for all age groups beginning at ages 40-44 as well as some younger age groups.

scholarly journals Excess all-cause and influenza-attributable mortality in Europe, December 2016 to February 2017

2017 ◽  
Vol 22 (14) ◽  
Author(s):  
Lasse S Vestergaard ◽  
Jens Nielsen ◽  
Tyra G Krause ◽  
Laura Espenhain ◽  
Katrien Tersago ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Influenza A ◽  
Excess Mortality ◽  
Influenza Season ◽  
European Countries ◽  
Cold Weather ◽  
Attributable Mortality ◽  
Influenza Virus A ◽  
All Cause Mortality

Since December 2016, excess all-cause mortality was observed in many European countries, especially among people aged ≥ 65 years. We estimated all-cause and influenza-attributable mortality in 19 European countries/regions. Excess mortality was primarily explained by circulation of influenza virus A(H3N2). Cold weather snaps contributed in some countries. The pattern was similar to the last major influenza A(H3N2) season in 2014/15 in Europe, although starting earlier in line with the early influenza season start.

scholarly journals Excess mortality in Europe and Serbia during the COVID-19 pandemic in 2020

Stanovnistvo ◽  
2021 ◽  
Vol 59 (1) ◽  
pp. 61-73
Author(s):  
Ivan Marinkovic ◽  
Marko Galjak
Keyword(s):  
Preliminary Data ◽  
Excess Mortality ◽  
Data Gathering ◽  
Total Mortality ◽  
European Countries ◽  
Eastern European ◽  
Excess Death ◽  
The North ◽  
Eastern European Countries ◽  
Excess Deaths

The 2020 pandemic came at a huge demographic cost, particularly regarding the increase in mortality. In this paper we examine excess deaths in Serbia and 34 other European countries in 2020. Methodological inconsistencies and big differences in how COVID-19 deaths were recorded across different countries make it difficult to make any cross-country comparisons, even with the scope limited only to Europe. Since the number of total deaths is a methodologically solid indicator, we looked at the differences between the total number of deaths in 2020 and compared that to deaths in 2019. The lowest increase in mortality - below 5% - occurred in countries in the north of Europe (Norway, Denmark, Finland, Latvia), while the highest increase - over 18% - was recorded in the southern and central parts of the continent (Albania, Northern Macedonia, Spain, Belgium, Poland, Slovenia, Russia). There is no clear geographical regularity. In 2020, Serbia had 12.6% more deaths compared to 2019, which was close to the European average. Within Serbia, statistical differences between regions were not large. Measuring the contribution of COVID-19 deaths to excess mortality is much more problematic. The excess death ratio is more helpful for understanding methodological and data-gathering issues than finding evidence about composition and divergence in mortality. According to this indicator (based on preliminary data), only 25% of excess deaths in Serbia in 2020 were caused by COVID-19, while the European average was 54%. However, in many (primarily Eastern European) countries in 2020, the indirect consequences of COVID-19 on the health of the population were more significant than the direct ones. It is precisely the ratio of COVID-19 diagnoses that led to death in total mortality that shows this. The final results may confirm this statement or indicate potential data manipulation. While this paper focuses only on the year 2020, as of Q1 of 2021, the pandemic is not nearing its end. Based on preliminary data published daily, Serbia had more COVID-19 deaths in the first four months of 2021 than for the whole of 2020. This indicates that the consequences of the pandemic for Serbia will be dire in 2021, regardless of the course the pandemic takes.

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