We’re not going back to normal - MIT Technology Review
▻https://www.technologyreview.com/s/615370/coronavirus-pandemic-social-distancing-18-months/?truid=a497ecb44646822921c70e7e051f7f1a
Social distancing is here to stay for much more than a few weeks. It will upend our way of life, in some ways forever.
Vous cherchez une bonne dystopie pour la situation : lisez l’éditorial de la MIT Tech. Review. Extraits (mais bien sûr, on peut contester ce qu’il juge inéluctable, et recréer un monde plus solidaire à partir de ce nouveau constat... j’ai toujours pensé que les « collapsionnistes » sont au fond les meilleurs alliés du système en place, car ils estiment qu’on ne peut pas le changer. Il ne faudrait pas que le COVID-19 leur donne encore plus de place mentale) :
It’s now widely agreed (even by Britain, finally) that every country needs to “flatten the curve”: impose social distancing to slow the spread of the virus so that the number of people sick at once doesn’t cause the health-care system to collapse, as it is threatening to do in Italy right now. That means the pandemic needs to last, at a low level, until either enough people have had Covid-19 to leave most immune (assuming immunity lasts for years, which we don’t know) or there’s a vaccine.
How long would that take, and how draconian do social restrictions need to be? Yesterday President Donald Trump, announcing new guidelines such as a 10-person limit on gatherings, said that “with several weeks of focused action, we can turn the corner and turn it quickly.” In China, six weeks of lockdown are beginning to ease now that new cases have fallen to a trickle.
But it won’t end there. As long as someone in the world has the virus, breakouts can and will keep recurring without stringent controls to contain them. In a report yesterday (pdf), researchers at Imperial College London proposed a way of doing this: impose more extreme social distancing measures every time admissions to intensive care units (ICUs) start to spike, and relax them each time admissions fall. Here’s how that looks in a graph.
Under this model, the researchers conclude, social distancing and school closures would need to be in force some two-thirds of the time—roughly two months on and one month off—until a vaccine is available, which will take at least 18 months (if it works at all). They note that the results are “qualitatively similar for the US.”
Eighteen months!? Surely there must be other solutions. Why not just build more ICUs and treat more people at once, for example?
Well, in the researchers’ model, that didn’t solve the problem. Without social distancing of the whole population, they found, even the best mitigation strategy—which means isolation or quarantine of the sick, the old, and those who have been exposed, plus school closures—would still lead to a surge of critically ill people eight times bigger than the US or UK system can cope with.
There’ll be some adaptation, of course: gyms could start selling home equipment and online training sessions, for example. We’ll see an explosion of new services in what’s already been dubbed the “shut-in economy.” One can also wax hopeful about the way some habits might change—less carbon-burning travel, more local supply chains, more walking and biking.
But the disruption to many, many businesses and livelihoods will be impossible to manage. And the shut-in lifestyle just isn’t sustainable for such long periods.
So how can we live in this new world? Part of the answer—hopefully—will be better health-care systems, with pandemic response units that can move quickly to identify and contain outbreaks before they start to spread, and the ability to quickly ramp up production of medical equipment, testing kits, and drugs. Those will be too late to stop Covid-19, but they’ll help with future pandemics.
Qiuand la surveillance totale devient la seule solution vue par le déterminisme technique.
Ultimately, however, I predict that we’ll restore the ability to socialize safely by developing more sophisticated ways to identify who is a disease risk and who isn’t, and discriminating—legally—against those who are.
We can see harbingers of this in the measures some countries are taking today. Israel is going to use the cell-phone location data with which its intelligence services track terrorists to trace people who’ve been in touch with known carriers of the virus. Singapore does exhaustive contact tracing and publishes detailed data on each known case, all but identifying people by name.
The airline wouldn’t be able to see where you’d gone, but it would get an alert if you’d been close to known infected people or disease hot spots. There’d be similar requirements at the entrance to large venues, government buildings, or public transport hubs. There would be temperature scanners everywhere, and your workplace might demand you wear a monitor that tracks your temperature or other vital signs. Where nightclubs ask for proof of age, in future they might ask for proof of immunity—an identity card or some kind of digital verification via your phone, showing you’ve already recovered from or been vaccinated against the latest virus strains.
Une « carte de bonne santé »...quelle imagination débordante (on dirait de la SF des anées 1930)
As usual, however, the true cost will be borne by the poorest and weakest. People with less access to health care, or who live in more disease-prone areas, will now also be more frequently shut out of places and opportunities open to everyone else. Gig workers—from drivers to plumbers to freelance yoga instructors—will see their jobs become even more precarious. Immigrants, refugees, the undocumented, and ex-convicts will face yet another obstacle to gaining a foothold in society.
Moreover, unless there are strict rules on how someone’s risk for disease is assessed, governments or companies could choose any criteria—you’re high-risk if you earn less than $50,000 a year, are in a family of more than six people, and live in certain parts of the country, for example. That creates scope for algorithmic bias and hidden discrimination, as happened last year with an algorithm used by US health insurers that turned out to inadvertently favor white people.
Il va falloir inventer vite autre chose, sinon, nous allons vraiment vivre dans « Le meilleur des mondes » ou « Tous à Zanzibar ».
#Coronavirus #Science_Fiction #surveillance
