2022
DOI: 10.1016/s0140-6736(21)02796-3
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Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21

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Cited by 1,033 publications
(537 citation statements)
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References 32 publications
(22 reference statements)
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“…It is possible that participants in this study died from other causes but were reported as death due to Covid-19 because they happened to have been SARS-Cov-2 positive when they died. Nevertheless, a recent study analyzing excess deaths during the Covid-19 pandemic demonstrated that the Israeli rate of excess death is in accordance with its Covid-19 mortality reports (14).…”
Section: Discussionmentioning
confidence: 84%
“…It is possible that participants in this study died from other causes but were reported as death due to Covid-19 because they happened to have been SARS-Cov-2 positive when they died. Nevertheless, a recent study analyzing excess deaths during the Covid-19 pandemic demonstrated that the Israeli rate of excess death is in accordance with its Covid-19 mortality reports (14).…”
Section: Discussionmentioning
confidence: 84%
“…Estimates of total COVID-19 mortality were constructed with use of the statistical model developed by the COVID-19 Excess Mortality Collaborators to predict the excess mortality rate for all locations between Jan 1, 2020, and Nov 14, 2021. 16 To estimate total COVID-19 mortality, we predicted a counterfactual excess mortality rate due to COVID-19 in which the IDR was set to the maximum observed values among all locations. The predicted excess mortality rate from this counterfactual analysis, corrected for under-reporting, resulted from insufficient testing and changes in mortality driven by behaviours such as deferred health care during periods of lockdown.…”
Section: Methodsmentioning
confidence: 99%
“…7 , 10 , 11 , 12 One study estimated infections in the USA and other select countries, 13 and other studies have done multinational systematic reviews and meta-analyses of seroprevalence surveys. 14 , 15 The fundamental problem in all of these analyses is that each of the data series observed has potential biases: reported cases capture only a portion of infections, and this portion will be a function of the availability of testing; reported deaths capture only a subset of total COVID-19 deaths, and the infection–fatality ratio (IFR) can vary widely over time and across locations; 16 , 17 , 18 , 19 the proportion of patients with an infection who are admitted to hospital can also vary over time and location; and seroprevalence surveys can be influenced by sampling design, waning of sensitivity of antibody tests, and vaccination rates. Few studies have combined data from reported cases, reported deaths, hospitalisations, and seroprevalence surveys to triangulate daily infections, and WHO only routinely reports confirmed cases, not estimated infections.…”
Section: Introductionmentioning
confidence: 99%
“…The huge number of deaths reported during COVID-19 in Italy has raised great concerns about the management of the COVID-19 pandemic emergency in the European Union (EU) countries, and more generally in Europe [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. In particular, it seems that Italy suffered from excess COVID-19-caused mortality when compared to other European countries [ 6 , 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, it seems that Italy suffered from excess COVID-19-caused mortality when compared to other European countries [ 6 , 7 , 8 ]. Experts are still wondering if the major causes of this excess have to be attributed to the Italian Government’s policy or, rather, to geographical and environmental factors [ 1 , 2 , 3 ]. People are still asking if political interventions on the basis of medical expertise and updated scientific knowledge, were effective in dampening the epidemiological impact of cases, hospitalization and deaths on the general population.…”
Section: Introductionmentioning
confidence: 99%