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After 2 years of the COVID pandemic… we still have big questions

We’ve learned a lot about masks, quarantines and spike proteins in the past two years. We still don’t know enough about long COVID, vaccine protection and the origins of COVID-19.

For the most up-to-date news and information about the coronavirus pandemic, visit the WHO and CDC websites.

In December 2019, a group of people in Wuhan, China, began to experience what was described as an unknown pneumonia, later identified as COVID-19, which quickly blanketed the globe. To date, there have been 280 million infections to date, resulting in 5.4 million deaths.

Since then, advances against SARS-CoV-2, the virus that causes COVID-19, have come rapidly: Multiple effective vaccines emerged in a single year, far faster than the typical four to 10 years of development. And Pfizer has just received FDA authorization for its COVID antiviral drug Paxlovid, which the pharmaceuticals giant says could cut the risk of hospitalization or death from COVID-19 by up to 89%.

Infectious disease experts have discovered much about the science of COVID-19 and can now quickly identify mutations, like those found in the delta and omicron variants.

However, two years on, as the US passes 800,000 deaths from COVID — and tens of millions more infections and hospitalizations — scientists are still struggling to answer some of our biggest questions. For additional information on COVID-19, here’s what we know about the new omicron variant and how to get free at-home testing kits. And be sure to learn how to put your vaccine card on your phone.

Why does COVID make some people more sick, including long COVID?

We know the virus causes symptoms ranging from headaches, fever and disorientation to nausea and vomiting, and even loss of taste or smell. While scientists continue to piece together who is more likely to get hit with these outcomes, they still lack answers about why some experience serious illness and others don’t.

Age is definitely the biggest correlation for severe disease, Gigi Gronvall, a senior scholar at the Johns Hopkins Center for Health Security, told CNET. «But there have been 29-year-olds who have died, children who have died, when all indications suggest they should have had a mild disease course.»

Scientists are also trying to get their arms around «long COVID» — a range of symptoms that can run on for weeks or even months after a patient is first infected. The World Health Organization has issued a definition that includes a variety of lingering symptoms — including fatigue, trouble breathing, sleeplessness, difficulty focusing, anxiety and depression — and the list keeps changing. Even so, the condition’s cause is not clearly known.

«After two years, we don’t understand much about long COVID, and don’t know its prevalence with omicron after vaccination,» Bob Wachter, the chair of the department of medicine at the University of California, San Francisco, tweeted Wednesday. «It remains a hardship for millions, and a lingering concern for me as I think about the prospect of getting even a ‘mild’ case of omicron.»

While some general symptoms, like loss of smell and taste, appear less common with omicron, Gronvall said, «we just don’t know if people with that variant will suffer long COVID. We just haven’t had enough time to tell.»

How long will immunity from vaccines last with variants like omicron?

The first COVID-19 vaccines went into arms a year ago in the US, and the two most effective in the US — from Moderna and Pfizer/BioNTech — took a unique approach: Using Messenger RNA (mRNA) to teach our cells how to make a protein that will trigger an immune response to the virus.

While researchers have been studying mRNA vaccines «for decades,» according to the CDC, this marks the first time they’ve been made available to the public. Scientists continue to gather information on how effective they are — and how long until their effectiveness begins to decline.

«We are definitely still figuring that out,» Gronvall said. «We’re seeing that protection wanes earlier than six months, which is why boosters are being recommended at six months.»

As new variants like the quick-spreading omicron emerge, she added, «whether the booster will be sufficient for a long period of time or not is something we still need to uncover.»

According to the World Health Organization, the Pfizer and Moderna vaccines are far less effective in preventing infection by the omicron strain than earlier COVID-19 variants. Other vaccines — including those from Johnson & Johnson, AstraZeneca, and ones manufactured in Russia and China — do even less to prevent infection by the omicron variant, The New York Times reported.

Still, fully vaccinated individuals are much less likely to experience severe symptoms, hospitalization and death, according to Harvard Medical School, especially if they receive a booster shot.

«It’s not a worst-case scenario, where the vaccines are ineffective,» Gronvall said. «In lab scenarios we’ve seen, vaccines provide less protection. That seems to be borne out in reality, but we can’t project yet into the real world.»

Will there be more variants like delta and omicron?

Viruses constantly mutate. Sometimes these mutations result in new disease strains that emerge quickly and disappear, according to the CDC. Other times, they persist and create spikes in the rate of infection and disease. In two years, COVID has mutated into five «variants of concern,» according to WHO, based on the severity of disease, the effectiveness of medical countermeasures and the strain’s ability to spread from person to person.

The alpha, beta and gamma variants were all downgraded to «variants being monitored» in September, with delta and omicron still considered variants of concern. This week federal health officials declared the omicron variant the dominant strain in the US, accounting for nearly three-quarters of new infections. Preliminary studies indicate illness caused by omicron may be less severe than delta, which doubled the hospitalization rate of the original alpha strain, but is also far more contagious.

Health officials warn that the longer the pandemic lasts and the longer large groups remain unvaccinated, the more time the virus will have to spread and mutate. While researchers can quickly map and identify variants, they need time to see how dangerous a new strain is as they gather data on hospitalizations and deaths.

«We’re still not great at looking at new variants and projecting what that means in the real world,» Gronvall said. «We have better tools to read genetic material and determine when variants emerge. But we can’t read them like a book.»

Where did COVID-19 come from?

Experts are still not certain how COVID-19 emerged. The prevailing theory is that it leaped from an animal to a human. The first symptoms of COVID-19 were reported in Wuhan among people who either worked or lived near Huanan Seafood Wholesale Market, an open-air «wet market» that sold fresh beef, poultry, fish and produce.

According to numerous sources, including a June 2021 study in Scientific Reports, the market also traded in exotic animals as pets and food, including badgers, hedgehogs, civets and porcupines.

Others, however, claim that SARS-CoV-2 emerged in a lab — with a naturally occurring or human-engineered virus infecting a researcher, who spread it to others. While there has been no solid evidence to back the lab-leak theory, former President Donald Trump and his supporters pushed the lab-origin theory through 2020.

«There’s a lot of people using this as a vehicle for other agendas,» Gronvall said. «And certainly the Chinese have been lying.» Government officials originally claimed that there were no contraband animals present at the market, she added, but researchers looking for a separate tick-borne disease photographed many illegal animals there, «stuffed together in close quarters, in poor health and stress conditions, in the months before cases were identified.»

«People are looking to blame [someone],» Gronvall said. «They’re not looking for an explanation that is very human and plausible. But there’s no virus that’s been identified in the laboratory that’s at all close to what ended up spreading around the world.»

Because the Chinese government shut down the Huanan market and removed all evidence almost as soon as cases of COVID were being associated with it, Gronvall said, researchers are not likely to ever find the exact animal culprit.

«It wasn’t like SARS in 2003, when you had these palm civets there that were all infected and it was a pretty quick thing,» she said.

To uncover more about the emergence of COVID-19, this summer, President Joe Biden directed the federal intelligence community to «redouble their efforts» to investigate the virus’ origins.

What we do know, heading into the third year of the disease, is we have a medicine cabinet of tools — including vaccines and antiviral pills — we didn’t have when we first learned of COVID-19. For more, here’s what we know about the Moderna and Pfizer vaccine boosters and how to pick which one to get.

The information contained in this article is for educational and informational purposes only and is not intended as health or medical advice. Always consult a physician or other qualified health provider regarding any questions you may have about a medical condition or health objectives.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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