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Dataset results
17 results for “excess mortality”
Comparison of pandemic excess mortality in 2020-2021 across different empirical calculations
<p>Different modeling approaches can be used to calculate excess deaths for the COVID-19 pandemic period. We compared 6 calculations of excess deaths (4 previously published and two new ones that we performed with and without age-adjustment) for 2020-2021. With each approach, we calculated excess deaths metrics and the ratio R of excess deaths over recorded COVID-19 deaths. The main analysis focused on 33 high-income countries with weekly deaths in the Human Mortality Database (HMD at mortality.org) and reliable death registration. Secondary analyses compared calculations for other countries, whenever available. Across the 33 high-income countries, excess deaths were 2.0-2.8 million without age-adjustment, and 1.6-2.1 million with age-adjustment with large differences across countries. In our analyses after age-adjustment, 8 of 33 countries had no overall excess deaths; there was a death deficit in children; and 0.478 million (29.7%) of the excess deaths were in people <65 years old. In countries like France, Germany, Italy, and Spain excess death estimates differed 2 to 4-fold between highest and lowest figures. The R values’ range exceeded 0.3 in all 33 countries. In 16 of 33 countries, the range of R exceeded 1. In 25 of 33 countries some calculations suggest R>1 (excess deaths exceeding COVID-19 deaths) while others suggest R<1 (excess deaths smaller than COVID-19 deaths). Inferred data from 4 evaluations for 42 countries and from 3 evaluations for another 98 countries are very tenuous Estimates of excess deaths are analysis-dependent and age-adjustment is important to consider. Excess deaths may be lower than previously calculated. </p>
Diabetes-related excess mortality in Mexico: a comparative analysis of national death registries between 2017-2019 and 2020
<p>Dataset to replicate the article "Diabetes-related excess mortality in Mexico: a comparative analysis of national death registries between 2017-2019 and 2020" available in MedRxiv at: https://www.medrxiv.org/content/10.1101/2022.02.24.22271337v1</p> <p>Code available at: https://github.com/oyaxbell/diabetes_excess</p>
Source data for "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020"
<p>Source data for the model fitting code at https://doi.org/10.5281/zenodo.5525349, accompanying the article "<em>Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020</em>"</p>
Data and code for the manuscript "An estimate of excess mortality resulting from air pollution caused by wildfires in the eastern and central Mediterranean basin in 2021"
<p>Data and R code used for generating the manuscript "An estimate of excess mortality resulting from air pollution caused by wildfires in the eastern and central Mediterranean basin in 2021".</p>
Supplementary data on masking effect on excess mortality in Europe
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Dataset and code for "Magnitude and determinants of excess total, age- and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project"
<p>Data and statistical codes used for the results presented in the paper "Magnitude and determinants of excess total, age- and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project"</p>
Guideline Recommended Care and Excess Mortality for Non ST-elevation Myocardial Infarction : A National Cohort Study
ClinicalTrials.gov study NCT02436187. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Early mortality saves energy: estimating the energetic cost of excess offspring in a seabird
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Data for "Excess forest mortality is consistently linked to drought across Europe"
<p>All data to reproduce the analysis of a paper on excess forest mortality and how it is related to drought. Code available under: https://github.com/corneliussenf/DroughtForestMortalityEurope</p>
Data from: Effects of age and disease duration on excess mortality in patients with multiple sclerosis from a French nationwide cohort
<p><strong>Objective: </strong>To determine the effects of current age and disease duration on excess mortality in multiple sclerosis, we described the dynamics of excess deaths rates over these two time scales and studied the impact of age at multiple sclerosis clinical onset on these dynamics, separately in each initial phenotype.</p> <p><strong>Methods: </strong>We used data from 18 French multiple sclerosis expert centers participating in the Observatoire Français de la Sclérose en Plaques. Patients with multiple sclerosis living in metropolitan France and having a clinical onset between 1960 and 2014 were included. Vital status was updated on January 1st, 2016. For each multiple sclerosis phenotype separately (relapsing onset (R-MS) or primary progressive (PPMS)), we used an innovative statistical method to model the logarithm of excess death rates by a multidimensional penalized spline of age and disease duration.</p> <p><strong>Results: </strong>Among 37524 patients (71% women, mean age at multiple sclerosis onset ± standard deviation 33.0 ± 10.6 years), 2883 (7.7%) deaths were observed and 7.8% of patients were lost-to-follow-up. For R-MS patients, there was no excess mortality during the first 10 years after disease onset; afterwards, whatever age at onset, excess death rates increased with current age. From current age 70, the excess death rates values converged and became identical whatever the age at disease onset, which means that disease duration had no more impact. Excess death rates were higher in men with an excess hazard ratio of 1.46 (95% confidence interval 1.25-1.70). In contrast, in PPMS patients, excess death rates rapidly increased from disease onset, and were associated with age at onset, but not with sex.</p> <p><strong>Conclusions:</strong> In R-MS, current age has a stronger impact on multiple sclerosis mortality than disease duration while their respective effects are not so clear in PPMS. </p>
Supplementary Table 1 of the Schöley et al. Lancet correspondence on "Conflicting COVID-19 excess mortality estimates"
<p>See https://github.com/jschoeley/ihme_excess_validation for the code re-creating the published figure from the supplementary table 1.</p>
Long Term Excess Mortality of Acute Myocardial Infarction in Patients With and Without Diabetes: A Population-based Cohort Study
ClinicalTrials.gov study NCT02591576. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Sex Differences in Relative Survival and Excess Mortality Following Acute Myocardial Infarction
ClinicalTrials.gov study NCT02952417. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: Effects of age and disease duration on excess mortality in patients with multiple sclerosis from a French nationwide cohort
Open the record for dataset details and reuse information.
Low Psoas Index and Cardiac Assistance: No Excess Mortality at D28 Post Implantation
ClinicalTrials.gov study NCT05612555. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Excess Risk of Morbi-mortality Due to COVID-19 in Patients With Cancer
ClinicalTrials.gov study NCT04457570. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Excess Mortality Resulting from COVID-19 in Turkey during 2020-2021
<p>Dataset about Excess Mortality Resulting from COVID-19 in Turkey during 2020-2021.</p>
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