J’ai lu sur Twitter (mais je ne retrouve plus le tweet) que c’était effectivement le seul outil existant, développé et maintenu par un individuel et que le gouvernement lui communiquait les chiffres sans aucun contrôle possible.
Communication ce jour : ▻https://twitter.com/GuillaumeRozier/status/1348576613928230912
Why do Americans have a lower life expectancy than people in other rich countries, despite paying so much more for health care?
The short summary of what I will discuss below is that Americans suffer higher death rates from smoking, obesity, homicides, opioid overdoses, suicides, road accidents, and infant deaths. In addition to this, deeper poverty and less access to healthcare mean Americans at lower incomes die at a younger age than poor people in other rich countries.
You want to reduce the carbon footprint of your food? Focus on what you eat, not whether your food is local - Our World in Data
People across the world are becoming increasingly concerned about climate change: 8-in-10 people see climate change as a major threat to their country.1
As I have shown before, food production is responsible for one-quarter of the world’s greenhouse gas emissions.
There is rightly a growing awareness that our diet and food choices have a significant impact on our carbon ‘footprint’. What can you do to really reduce the carbon footprint of your breakfast, lunches, and dinner?
‘Eating local’ is a recommendation you hear often – even from prominent sources, including the United Nations. While it might make sense intuitively – after all, transport does lead to emissions – it is one of the most misguided pieces of advice.
Eating locally would only have a significant impact if transport was responsible for a large share of food’s final carbon footprint. For most foods, this is not the case.
GHG emissions from transportation make up a very small amount of the emissions from food and what you eat is far more important than where your food traveled from.
Sweden Now Has the World’s Highest Death Rate
Global Health NOW: Knews letter
Sweden—where authorities avoided strict lockdowns enacted elsewhere—now has the world’s highest per capita death rate from COVID-19.
In the past week, the country reached an average of 6.25 deaths per million inhabitants—topping other European hotspots like Spain, Italy, and the UK for the first time, according to Our World in Data - ▻https://ourworldindata.org/coronavirus-sweden, Reuters reports - ►https://www.reuters.com/article/us-health-coronavirus-sweden-casualties/sweden-tops-europe-covid-19-deaths-per-capita-over-last-seven-days-idUSKBN2.
Also throwing Sweden’s approach into question: A study found that just 7.3% of people in Stockholm developed coronavirus antibodies by late April, Reuters reports - ►https://www.mercurynews.com/2020/05/20/swedish-antibody-study-shows-little-sign-of-herd-immunity.
Swedish authorities have rebuffed claims that they’ve taken a deliberate “herd immunity” strategy, saying their intent is to slow the virus enough for health system to cope long term, rather than attempt to suppress it altogether.
WHO emergencies chief Michael Ryan has praised the approach, saying " there may be lessons to be learnt from our colleagues in Sweden,” The Local reports .
La pénurie de tests est un frein majeur à notre capacité à contenir la pandémie #COVID19. Les tests groupés permettraient sans doute multiplier le nombre de personnes testées par 2, voire par 10 ou 40, s’ils sont appliqués pour un dépistage très massif.
#Mathématiques des tests et particulièrement des #tests_groupés, qui permettent d’augmenter le nombre de dépistés en regroupant les tests (et même encore plus en regroupant par lieu / probabilité d’être positif comme vu en fin de vidéo plutôt que par hasard)
Comme à chaque fois avec Lê, il y a toute la transcription (▻https://docs.google.com/document/d/1RGII0UnqDQNiW-zjHuHecQGMsv9Ct8bho5V70KTERb0)
Deux algorithmes sont présentés :
– algorithme de Dorfman
– algorithme de Li en 3 étapes
Extrait de l’intro :
J’ai eu beaucoup de mal à trouver des chiffres fiables sur la capacité de tests, mais à en croire cette publication de l’Institut des Politiques Publiques ou ces données d’Our World In Data, il semble y avoir autour de 100 000 tests de COVID19 en France par semaine, et 30 000 en Suisse. Sachant, qu’il y a environ 8 fois plus de Français que de Suisses, ça suggère que les suisses sont testés en moyenne plus de deux fois que les français.
Avec 100 000 tests par semaine en France, on ne peut pas tester tout le monde. Il semble même difficile de tester tous ceux qui ont des symptômes. Cependant, de nombreux efforts sont mis oeuvre pour augmenter la capacité des tests, et certains espèrent atteindre une capacité de 500 000 tests par semaine pour le déconfinement.
#COVID-19 : record de plus de 2100 morts aux #États-Unis en 24 heures
Le président Donald Trump répète régulièrement qu’il s’agit du plus grand nombre de tests effectués par un pays, ce qui explique selon lui le nombre de cas recensés bien supérieur aux États-Unis qu’ailleurs.
Selon le site ourworldindata.com, c’est effectivement le cas en valeur absolue, mais proportionnellement à leur population, l’Italie et la Corée du Sud ont réalisé plus de tests que les Américains.
« La Presse » n’a pas vu que le site « our world in data” est interactif et que seule une petite partie des pays est représentée sur le graphique de la page d’accueil et donc en fait le nombre de pays ayant réalisé plus de tests proportionnellement à leur population est beaucoup plus important (non représentées ci-dessous, il faut inclure l’Allemagne, située entre la Suisse et l’Italie et la Nouvelle-Zélande, à 11,52/1000 ; l’Islande en est à pratiquement 100/1000).
The first chart plots the total number of tests against the total number of confirmed cases. The more tests a country has done the higher it is; the more confirmed cases it has, the further it is to the right.
Naturally, since you can only get a positive test if you carry out a test in the first place, countries that have performed more tests will tend to have more confirmed cases. In other words: there is a positive correlation between tests performed and cases confirmed. That doesn’t necessarily mean that countries that have done more tests really have more cases, although in many cases they will.
However, the differences between countries can tell us important things. For instance, we can see that some countries have done more tests per confirmed case. The UK, for example, has done many more tests than other European countries with a similar number of confirmed cases.
The second chart plots the number of tests performed in each country. The most obvious point is that the data shows South Korea has done many more tests than other countries. That means we can expect that in South Korea the number of confirmed cases – positive tests – is closer to the real number of infected people than it is in other countries.
That makes it encouraging to see that the number of daily confirmed cases in South Korea has gone down. (Here you find our chart that shows the decline of confirmed new cases in South Korea.) South Korea was able to quickly manufacture and use a huge number of tests, showing that it is possible. Testing is crucial, so it is vital that other countries follow South Korea’s lead.
Tests conducted vs. Total confirmed cases of COVID-19
#CO₂ and Greenhouse Gas Emissions - Our World in Data
The US Is Responsible For 26% Of Global Warming Emissions & Is Morally Responsible To Help Solve It | CleanTechnica
When you can get conservatives and libertarians to admit that global warming is real, serious, and caused by humans, almost inevitably they start pointing fingers at India and China. What is the reality of the USA’s contributions to global warming vs the rest of the world’s?
The Internet’s history goes back some decades by now – email has been around since the 1960s, file sharing since at least the 1970s, and TCP/IP was standardized in 1982. But it was the creation of the world wide web in 1989 that revolutionized our history of communication. The inventor of the world wide web was the English scientist Tim Berners-Lee who created a system to share information through a network of computers. At the time he was working for the European physics laboratory CERN in the Swiss Alps.
Here I want to look at the global expansion of the Internet since then.
In 1938, a group of Harvard researchers decided to start a research program to track the lives of a group of young men, in what eventually became one of the longest and most famous longitudinal studies of its kind. The idea was to track the development of a group of teenage boys through periodic interviews and medical checkups, with the aim of understanding how their health and well-being evolved as they grew up.1
Today, more than 80 years later, it is one of the longest running research programmes in social science. It is called the Harvard Study of Adult Development and it is still running. The program started with 724 boys, and researchers continue to monitor today the health and well-being of those initial participants who are still alive, most in their late 90s.2
This is a unique scientific exercise – most longitudinal studies do not last this long because too many participants drop out, researchers move on to other projects (or even die), or the funding dries up.
So what have we learned from this unique study?
Robert Waldinger, the current director of the study, summarized – in what is now one of the most viewed TED Talks to date – the findings from decades of research. The main result, he concluded, is that social connections are one of the most important factors for people’s happiness and health. He said: “Those who kept warm relationships got to live longer and happier, and the loners often died earlier”.
Does the news reflect what we die from?
The major standout here – I had to break the scale on the y-axis since it’s several orders of magnitude higher than everything else – is terrorism: it is overrepresented in the news by almost a factor of 4000.
Homicides are also very overrepresented in the news, by a factor of 31. The most underrepresented in the media are kidney disease (11-fold), heart disease (10-fold), and, perhaps surprisingly, drug overdoses (7-fold). Stroke and diabetes are the two causes most accurately represented.
Sur- ou sous-représentation des causes de mortalité
S’il y a bien une occasion où l’on peut – je dirais même où il faut – utiliser une #échelle_logarithmique, c’est bien ici. Ce sont des rapports !
(la légende de l’axe vertical écrit Factor
cela va jusqu’à affecter un signe négatif quand il s’agit du rapport inverse
10 fois plus -> +10
11 fois moins -> -11 !-)
The map we need if we want to think about how global living conditions are changing - Our World in Data
We should keep this #cartogram in mind when we are looking at charts that show country-by-country data, because we have to remember that the number of people that these charts speak about is very different from one country to the next: An increase of the life expectancy in Denmark means that the average health of 5.8 million people is increasing, while an increase for India means that the health of 1,354 million people is improving.
“Life Expectancy” – What does this actually mean? - Our World in Data
The interactive chart below shows that life expectancy has increased substantially around the world in the last couple of centuries. As a matter of fact, the data tells us that in the long run life expectancy has increased in all countries around the world.
Life expectancy is one of the key measures of a population’s health, and an indicator used widely by policymakers and researchers to complement economic measures of prosperity, such as GDP per capita. It is easy to see that the trends in the chart below are a fantastic achievement reflecting widespread improvements in global health.
However, despite its importance and prominence in research and policy, it is surprisingly difficult to find a simple yet detailed description of what “life expectancy” actually means. In this blog post, we try to fill this gap.
je suis quand même toujours surpris par les méthodes de calcul, cf ▻http://freakonometrics.hypotheses.org/tag/esperance-de-vie
Yields and Land Use in Agriculture - Our World In Data
«Not all deaths are equal: How many deaths make a natural disaster newsworthy?» ▻https://ourworldindata.org/how-many-deaths-make-a-natural-disaster-newsworthy voir aussi ▻https://academic.oup.com/qje/article-abstract/122/2/693/1942115
Our World In Data
What is Our World In Data?
Our World in Data (OWID) is an online publication that shows how living conditions are changing. The aim is to give a global overview and to show changes over the very long run, so that we can see where we are coming from and where we are today.
Our World in Data communicates this empirical knowledge in two ways:
through data visualizations – charts and maps.
by presenting the academic research on global development that explains what drives the changes that we see and what the consequences of these changes are.
The publication is produced at the University of Oxford and currently created by a team of three: The economist Esteban Ortiz Ospina, the web developer Jaiden Mispy, and the founder of the publication Max Roser.
Meat consumption vs. GDP per capita, 2013 to 2014
je sais pas si associer la consommation de #viande au #pnb est le plus judicieux mais bon #dataviz
The following visualization presents estimates of world literacy for the period 1800-2014. As we can see, literacy rates grew constantly but rather slowly until the beginning of the twentieth century. And the rate of growth really climbed after the middle of the 20th century, when the expansion of basic education became a global priority.