“Safari continues to pave the way for privacy on the web, this time as the first mainstream browser to fully block third-party cookies by default. As far as we know, only the Tor Browser has featured full third-party cookie blocking by default before Safari, but Brave just has a few exceptions left in its blocking so in practice they are in the same good place. We know Chrome wants this behavior too and they announced that they’ll be shipping it by 2022.”
Auteur/autrice : noflux (Page 68 of 620)
“Les téléphones des Suisses seront ainsi utilisés pour lutter contre la pandémie. Les analyses seront effectuées uniquement dans les espaces publics, et pas, par exemple, dans les immeubles d’habitation ni les locaux d’entreprises. Ces données ne seront pas communiquées en direct à l’Office fédéral de la santé publique (OFSP), mais dans un délai de vingt-quatre heures environ. Les autorités ne sauront pas ce qui se passe en temps réel, mais avec un certain décalage. Le but sera sans doute de déterminer si des rassemblements illégaux ont lieu plusieurs jours de suite dans des endroits publics, afin, ensuite, de prendre des mesures pour les disperser.”
Source : Swisscom aidera la Confédération à détecter les attroupements via les téléphones – Le Temps
“Asking people to choose between privacy and health is, in fact, the very root of the problem. Because this is a false choice. We can and should enjoy both privacy and health. We can choose to protect our health and stop the coronavirus epidemic not by instituting totalitarian surveillance regimes, but rather by empowering citizens. In recent weeks, some of the most successful efforts to contain the coronavirus epidemic were orchestrated by South Korea, Taiwan and Singapore. While these countries have made some use of tracking applications, they have relied far more on extensive testing, on honest reporting, and on the willing co-operation of a well-informed public.”
Source : Yuval Noah Harari: the world after coronavirus | Financial Times
“The most extensive travel restrictions to stop an outbreak in human history haven’t been enough. We analyzed the movements of hundreds of millions of people to show why.”
“A group of former IMF chief economists warned last weekend that a global recession had already begun, but although economic activity is slowing sharply, much official data are out of date before they are even published, given the time they take to collate. To make up for the lack of official information, the FT has compiled a set of alternative, high-frequency measures of economic activity for different sectors which give an early indication of what to expect when official data start to become available in the coming weeks. ”
Source : Real-time data show virus’s hit to global economic activity | Financial Times
“At the time of writing, the coronavirus disease of 2019 remains a global health crisis of grave and uncertain magnitude. To the non-expert (such as myself), contextualizing the numbers, forecasts and epidemiological parameters described in the media and literature can be challenging.
Gabriel Goh created this calculator as an attempt to address this gap in understanding. This calculator implements a classical infectious disease model — SEIR (Susceptible → Exposed → Infected → Removed), an idealized model of spread still used in frontlines of research e.g. [Wu, et. al, Kucharski et. al].”
Source : Epidemic Calculator
“About 100M public messages have been collected and analyzed to understand the digital response in online social media to COVID-19 outbreak. Specifically, we used machine learning techniques to quantify: collective sentiment & psychology: lexicon-based and rule-based emotional and psychological state social bot pollution: The fraction of activities due to social bots and the exposure of the Twitterverse to unreliable news News reliability: the fraction of URLs pointing to reliable news and scientific sources”
Source : COVID19 Infodemics Observatory
“This phylogeny shows evolutionary relationships of hCoV-19 (or SARS-CoV-2) viruses from the ongoing novel coronavirus COVID-19 pandemic. This phylogeny shows an initial emergence in Wuhan, China, in Nov-Dec 2019 followed by sustained human-to-human transmission leading to sampled infections. Although the genetic relationships among sampled viruses are quite clear, there is considerable uncertainty surrounding estimates of transmission dates and in reconstruction of geographic spread. Please be aware that specific inferred transmission patterns are only a hypothesis.”
Source : Nextstrain / ncov
“We are not epidemiologists—we are the design, engineering, and support teams at a mapping company. Just as we don’t spend every moment thinking about how to track and slow the spread of infectious disease, most public health teams we work with are not experts in spatial data visualization. In the environment of a growing epidemic, maps have a way of spreading fast, too — making it imperative that they are accurate, informative, and thoughtfully designed. To answer common questions and help our partners make thoughtful design decisions while mapping this and other health crises, we have put together a number of best practices and common pitfalls to avoid.”
Source : 7 best practices for mapping a pandemic – Points of interest
“We’re exploring ways that aggregated anonymized location information could help in the fight against COVID-19. One example could be helping health authorities determine the impact of social distancing, similar to the way we show popular restaurant times and traffic patterns in Google Maps”



