Objectives: Mortality statistics on the COVID-19 pandemic have led to widespread concern and fear. To contextualise these data, we compared mortality related to COVID-19 during the first wave of the pandemic across seven countries in Europe with all and common causes of death, stratifying by age and sex. We also calculated deaths as a proportion of the population by age and sex.
Study Design: Analysis of population mortality data.
Methods: COVID-19 related mortality and population statistics from seven European countries were extracted: England and Wales, Italy, Germany, Spain, France, Portugal and Netherlands. Available data spanned 14-16 weeks since the first recorded deaths in each country, except Spain, where only comparable stratified data over an 8-week time period was available. The Global Burden of Disease database provided data on all deaths and those from pneumonia, cardiovascular disease combining ischaemic heart disease and stroke, chronic obstructive pulmonary disease, cancer, road traffic accidents and dementia in 2017.
Results: Deaths related to COVID-19, while modest overall, varied considerably by age. Deaths as a percentage of all cause deaths during the time period under study ranged from <0.01% in children in Germany, Portugal and Netherlands, to as high as 41.65% for men aged over 80 years in England and Wales. The percentage of the population who died from COVID-19 was less than 0.2% in every age group under the age of 80. In each country, over the age of 80, these proportions were: England and Wales 1.27% males, 0.87% females; Italy 0.6% males, 0.38% females; Germany 0.13% males, 0.09% females; France 0.39% males, 0.2% females; Portugal 0.2% males, 0.15% females; and Netherlands 0.6% males, 0.4% females.
Conclusions: Mortality rates from COVID-19 during the first wave of the pandemic were low including when compared to other common causes of death and are likely to decline further while control measures are maintained, treatments improve and vaccination is instituted. These data may help people to contextualise their risk and for decision-making by policymakers.
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http://dx.doi.org/10.1016/j.puhip.2021.100077 | DOI Listing |
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State Key Laboratory of Functions and Applications of Medicinal Plants, School of Basic Medical Sciences, Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, Guizhou Medical University, Guiyang, China.
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Department of Critical Care Medicine, the First Hospital of Tsinghua University, Beijing100016, China.
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Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
Background: Drug-coated balloons (DCB) can decrease the incidence of restenosis in the treatment of intracranial atherosclerotic stenosis (ICAS). This study aimed to assess the safety and efficacy of submaximal angioplasty with DCB dilation compared with aggressive angioplasty in patients with symptomatic ICAS.
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Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Microbiology, Immunology and Infectious Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Arnie Charbonneau Cancer Research Institute, Calgary, AB, Canada. Electronic address:
Breast cancer is the most common cancer in women and continues to have a significant impact in cancer-associated deaths worldwide. Investigating the complex roles of infiltrating immune subsets within the tumor microenvironment (TME) will enable a better understanding of disease progression and reveal novel therapeutic strategies for patients with breast cancer. The mammary-specific expression of polyomavirus middle T oncoprotein (MMTV-PyMT) was first established in 1992 by William Muller and is the most commonly used genetically engineered mouse model (GEMM) for breast cancer research.
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