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Several vaccines are currently in large-scale studies to see if they can prevent COVID-19, and more are on the way.

President Trump has been hinting that a vaccine could be ready before the end of October, but 

, chief scientific adviser to the administration's Operation Warp Speed, downplayed that possibility in an 

"There is a very, very low chance that the trials that are running as we speak could read before the end of October," Slaoui said.

Here are some answers to frequently asked questions about the large-scale vaccine efficacy studies that Slaoui was discussing.

The intention is to enroll at least 30,000 volunteers per trial. Half will get an injection containing the vaccine candidate, and half will get an injection of an inert placebo. Neither the person giving the injection nor the person getting the shot knows which is being administered. This is so neither party has a predetermined idea of what the outcome might be. Studies like this are called double-blind, placebo-controlled trials, and they are generally considered the best design to get definitive answers.

Researchers chose enrolling 30,000 people as a target for pragmatic reasons. To test a vaccine, it needs to be given to enough people who will subsequently be exposed to the virus. But researchers didn't know for sure where the virus would be circulating when they were ready to test their vaccine.

So the researchers hedged their bets and chose a large number, "primarily due to the uncertainty as to where those infections ... will happen," says 

, a biostatistician at the Fred Hutchinson Cancer Research Center in Seattle.

What determines whether the trial is successful?

By conducting a large trial, researchers hope to learn whether the vaccine is safe and whether it prevents infection.

Initial safety studies were done by testing a 

. A large trial should reveal less common side effects.

To determine whether the vaccine is working, researchers will compare the number of infections in the people receiving the active vaccine with the number of infections in the people receiving the inert placebo.

The Food and Drug Administration is the federal agency that will decide whether to authorize the use of the vaccine. It has said a vaccine must reduce infections in the vaccinated group by at least 50 percent to be considered.

When will we know if the vaccine is working?

These are what's called event-driven trials. "An event-driven trial means that the primary analysis of the trial happens when you get enough events," Janes says. "We don't know how long that's going to take."

By "events," Janes means laboratory-confirmed cases of COVID-19 disease. Janes says the trial now underway aims to get at least 150 events among the trial participants.

To make sure the researchers are unaware of who's getting the vaccine and who's getting a placebo, an independent body will track the data as they're collected. That data safety monitoring board is made up of experts in all aspects of clinical trial design and implementation.

What's the drawback to putting out a vaccine too soon?

If the vaccine doesn't work well, people would continue to get sick and die. A vaccine that is only 50 percent effective would still mean people could get COVID-19, but even a partially effective vaccine would make the pandemic more manageable.

Releasing a vaccine with serious side effects, even rare ones, would mean perfectly healthy people would put their health at risk if they got the vaccine.

If the vaccine is perceived as a flop by the public, it will undermine confidence in the government.

What vaccines are being tested now, and how can I sign up?

All vaccines being tested in the U.S. can be found on the government website 

 should be starting their big tests in the next month or two.  

Health

COVID-19

Joe Palca

Author

Several COVID-19 vaccine candidates are being tested now. But why does it take 30,000 volunteers to know if one is safe and effective? And what does it mean to say a vaccine candidate is working?

How can you tell if a COVID-19 vaccine is working?

Go Deeper.

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