Do I include her in my will? What should I do? Bitcoin creator Satoshi Nakamoto could be unmasked at Florida trial. Why the new tax law caused a 'perfect storm' for Roth IRA conversions. Advanced Search Submit entry for keyword results. No results found. The standardised death rate for ischaemic heart disease in the EU was Diseases of the circulatory system include those related to high blood pressure, cholesterol, diabetes and smoking.
The most common causes of death from diseases of the circulatory system are ischaemic heart diseases and cerebrovascular diseases. Ischaemic heart diseases accounted for The EU Member States with the highest standardised death rates from ischaemic heart disease were Lithuania, Hungary, Latvia and Slovakia, all reporting between At the other end of the range, France data , the Netherlands, Spain, Belgium, Portugal, Denmark and Luxembourg had the lowest standardised death rates from ischaemic heart disease, all below 80 deaths per inhabitants in Hungary reported the highest standardised death rates for lung cancer and for colorectal cancer.
Cancer was a major cause of death, averaging The most common forms of cancer — all with standardised death rates in excess of In Latvia, Estonia and Poland, death rates were very close to this level. Hungary recorded, by far, the highest standardised death rate from lung cancer among the EU Member States in The highest standardised death rate for colorectal cancer in was also observed in Hungary, After circulatory diseases and cancer, respiratory diseases were the third most common cause of death in the EU, with an average of Within this group of diseases, chronic lower respiratory diseases were the most common cause of mortality followed by other lower respiratory diseases and pneumonia.
Respiratory diseases are age-related with the vast majority of deaths from these diseases recorded among people aged 65 years or over.
In , the highest standardised death rates from respiratory diseases among the EU Member States were recorded in Denmark External causes of death include, among others, deaths resulting from intentional self-harm suicide and transport accidents. Although suicide is not a major cause of death and the data for some EU Member States are likely to be under-reported, it is often considered as an important indicator of societal issues. On average, there were The lowest standardised death rates for suicide in were recorded in Malta 4.
The standardised death rate from suicide in Lithuania Lowest standardised death rates from transport accidents were in Ireland, Denmark, Malta and Sweden. Although transport accidents occur on a daily basis, the frequency of deaths caused by transport accidents in the EU in a standardised death rate of 6.
Romania, Poland, Croatia and Latvia had the highest standardised death rates more than 9. Standardised death rates were higher for men than for women for nearly all of the main causes of death.
Rates across other regions are typically higher at per , When viewed through time we see a notable decline in fire death rates, particularly across Sub-Saharan Africa and Eastern Europe. The chart shows the annual deaths from fire or burning incidents broken down by age group.
In , there were around , global deaths from fire which represents a slight decline from the mids when deaths reached over , In the visualization we see the relative death rates between age categories. At the global level, those 70 years and above are typically at the highest risk with 7 per , Next is those under 5 years old, but with a significant drop in death rate to per , More than half a million are killed by other humans — in war , homicides , and terrorism.
And close to a million people are killed by other animals in any given year. Mosquito deaths are the sum of deaths in order, highest to lowest from: Malaria , Dengue fever, Japanese encephalitis, Yellow fever, Zika virus, Chikungunya, West Nile virus, and Lymphatic filariasis, for which it is the vector.
One of the primary motivations for our work at Our World in Data is to provide a fact-based overview of the world we live in — a perspective that includes the persistent and long-term changes that run as a backdrop to our daily lives.
We aim to provide the complement to the fast-paced reporting we see in the news. The media provides a near-instantaneous snapshot of single events; events that are, in most cases, negative. The persistent, large-scale trends of progress never make the headlines. But is there evidence that such a disconnect exists between what we see in the news and what is reality for most of us?
One study attempted to look at this from the perspective of what we die from: is what we actually die from reflected in the media coverage these topics receive?
For each source the authors calculated the relative share of deaths, share of Google searches, and share of media coverage. They restricted the considered causes to the top 10 causes of death in the US and additionally included terrorism, homicide, and drug overdoses. This allows for us to compare the relative representation across different sources. The coverage in both newspapers here is strikingly similar.
And the discrepancy between what we actually die from and what we get informed of in the media is what stands out:. One way to think about it is that media outlets may produce content that they think readers are most interested in, but this is not necessarily reflected in our preferences when we look for information ourselves. As we can see clearly from the chart above, there is a disconnect between what we die from, and how much coverage these causes get in the media. Another way to summarize this discrepancy is to calculate how over- or underrepresented each cause is in the media.
To do this, we simply calculate the ratio between the share of deaths and share of media coverage for each cause. In this chart, we see how over- or underrepresented each cause is in newspaper coverage. Numbers denote the factor by which they are misrepresented. Homicides are also very overrepresented in the news, by a factor of The most underrepresented in the media are kidney disease fold , heart disease fold , and, perhaps surprisingly, drug overdoses 7-fold.
Stroke and diabetes are the two causes most accurately represented. But there is another important question: should these be representative? The first is that we would expect there to be some preventative aspect to information we access. There are several examples where I can imagine this to be true. People who are concerned about cancer may search online for guidance on symptoms and be convinced to see their doctor. Some people with suicidal thoughts may seek help and support online which later results in an averted death from suicide.
Some imbalance in the relative proportions therefore makes sense. But clearly there is some bias in our concerns: most people die from heart disease hence it should be something that concerns us yet only a small minority seek [possibly preventative] information online.
Second, this study focused on what people in the USA die from, not what people across the world die from. Is media coverage more representative of global deaths? Not really. The relative ranking of deaths in the USA is reflective of the global average: most people die from heart disease and cancers, and terrorism ranks last or second last alongside natural disasters. Terrorism accounted for 0. The third relates to the very nature of news: it focuses on events and stories.
Whilst I am often critical of the messages and narratives portrayed in the media, I have some sympathy for what they choose to cover. Reporting has become increasingly fast-paced. Combine this with our attraction to stories and narratives. The most underrepresented cause of death in the media was kidney disease.
But with an audience that expects a minute-by-minute feed of coverage, how much can possibly be said about kidney disease? Without conquering our compulsion for the latest unusual story, we cannot expect this representation to be perfectly balanced.
Media and its consumers are stuck in a reinforcing cycle. The news reports on breaking events, which are often based around a compelling story. We come to expect news updates with increasing frequency, and media channels have clear incentives to deliver. This locks us into a cycle of expectation and coverage with a strong bias for outlier events. Most of us are left with a skewed perception of the world; we think the world is much worse than it is.
The responsibility in breaking this cycle lies with both media producers and consumers. Will we ever stop reporting and reading the latest news? But we can all be more conscious of how we let this news shape our understanding of the world. And journalists can do much better in providing context of the broader trends: if reporting on a homicide, for example, include context of how homicide rates are changing over time. This requires us to check our often unconscious bias for single narratives and seek out sources that provide a fact-based perspective on the world.
This antidote to the news is what we try to provide at Our World in Data. It should be accessible for everyone, which is why our work is completely open-access. Whether you are a media producer or consumer, feel free to take and use anything you find here.
Shares of deaths, media coverage and Google searches over time The interactive charts present the full annual data series published by Shen et al.
Due to data availability Google Trends data only runs from the year to In this article we rely largely on the estimates presented in the Global Burden of Disease GBD studies that are produced under the leadership of the Institute for Health Metrics and Evaluation. The study is published in The Lancet at TheLancet. These sources include vital registration VR ; verbal autopsy VA ; surveillance, census and survey data; cancer registries; and police records.
An important step in the GBD methodology standardization is in reallocating deaths attributed within ICD classifications without an underlying cause of death for example, senility which can be an intermediate but not final cause of death. GBD redistribute these garbage codes using a methodology explained in detail in Naghavi et al. Death and death rate analyses are then carried out by the GBD researchers across all locations, all ages, both sexes and for the period from onwards based on its Cause of Death Ensemble model CODEm.
The full description of GBD methodology can be found here. Estimating the risk factors associated with millions of deaths around the world is a complex task — particularly when risk factors can compound and collectively influence the likelihood of disease and, eventually, death. The Global Burden of Disease GBD studies — on which we largely rely on in this article — provide one of, if not the, most in-depth analysis and synthesis of relative risk factors.
The GBD groups risk factors into four broad categories: behavioral risks, environmental risks, occupational risks, and metabolic risks. The central tool to estimate the impact of various risk factors is the Comparative Risk Assessment CRA conceptual framework 21 which details how various risk factors affect health outcomes and ultimately death.
For example, there is evidence of links between a higher body mass index BMI and the risk of multiple non-communicable diseases NCDs including cardiovascular disease, ischemic stroke and some cancers. Such risk-outcome pairs e. A key point to emphasise is that attributing deaths to risk factors necessarily implies making assumptions about the magnitude of the causal impact that each factor has on the probability of death, everything else equal.
Establishing causal impacts this way is difficult. The GBD studies rely on state-of-the-art evidence from cohort, case studies and trials, but extrapolating from this evidence still requires making assumptions, with an implied margin of error.
As scientific research advances, new evidence becomes available — the estimates from the GBD studies adapt, and become more precise when new academic research emerges. Once a risk-outcome pair has been identified, how does IHME begin to quantify the disease burden or number of deaths attributed to each risk? The CRA can be used for two different types of assessment, attributable burden and avoidable burden :. Cohort, case studies and trials of established risk-exposure relationships between BMI and ischemic stroke allow for the calculation of the reduction in deaths which would have occurred if BMI was reduced to a healthy level across the population distribution.
This relationship can be established by specific demographic groups, such as by sex or age. The difference between the number of deaths from ischemic stroke which would have occurred at the TMREL and at the actual BMI distribution is given as the number of deaths attributed to high BMI from ischemic stroke.
Cerebrovascular diseases develop due to problems with the blood vessels that supply the brain. Every year, more than , people in the U. The risk of stroke varies with race, ethnicity, and age. In this article, learn about stroke, including how to prevent it. Dementia refers to a group of conditions that cause a decline in cognitive function.
Damage to the nerve cells in the brain causes dementia. As a result of the damage, neurons can no longer function normally and may die.
This, in turn, can lead to changes in memory, behavior, and the ability to think clearly. Another type, called vascular dementia, can cause similar symptoms but instead results from changes to blood flow to the brain.
People in the final stages of this condition may not be able to leave their bed and may require around the clock care. In the U. This figure may rise to 14 million people by as life expectancy continues to increase. Diabetes is a condition wherein the body can no longer control blood glucose, which leads to dangerously high levels of blood glucose. This is called hyperglycemia. The body converts most of the food people eat into glucose, a simple sugar, which it can then use for energy.
The pancreas, an organ near the stomach, makes a hormone called insulin to move glucose from the bloodstream into the cells. There are two main types of diabetes: type 1 diabetes and type 2 diabetes. The bodies of people with type 1 diabetes do not produce insulin at all, so these people need to supplement their supply. The bodies of people with type 2 diabetes cannot use insulin effectively. However, it is possible to control the risk of type 2 diabetes with careful dietary management and regular exercise.
Diabetes can cause serious health complications, including heart disease, blindness, kidney failure, and the need for amputation of the lower extremities. Learn more about diabetes, including some of the treatment options, here. Influenza , or flu , is a highly contagious viral infection.
It is one of the most severe illnesses of the winter season. Flu spreads easily from person to person, usually when someone who carries the virus coughs or sneezes. A person can have the flu more than once, as many different strains of the virus can cause infection.
They may belong to one of three different influenza families: A, B or C. Type A viruses tend to affect adults more severely , while type B viruses most often cause health problems in children.
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