Covid reinfection ‘highly unlikely’ for at least 6 months: Oxford study


On November 20, 2020, residents in South Tyrol, Bolzano, northern Italy, conducted a free rapid rapid antigen nasopharyngeal swab test for Covid-19 at a testing facility set up at the school sports hall.

Pierre Tassot | AFP | Getty Images

LONDON – People who have contracted coronavirus are not “very likely” to be at risk for the disease again for at least six months, according to a new study from Oxford.

The researchers say the findings are “exciting” because they represent an important step in understanding how Covid-19 immunity can work.

The study, published Friday, claims to be the first large-scale research into how people are protected against re-arrangement after contracting a coronavirus. It was part of a larger collaboration between Oxford University and Oxford University Hospitals Spitals NHS Foundation Trust, but its peer has not yet been reviewed.

It comes after a series of late-phase trial readouts of Pfizer-Bioentech and Moderna in the last few weeks, as well as a string of encouraging vaccine results following two positive-phase results from AstraZeneca-Ox Xford.

The covid vaccine could help end the coronavirus epidemic, which has raised hopes that it has claimed the lives of more than 1.3 million people worldwide.

Public health officials and experts have warned that it could take months, perhaps even more than a year, for any potential vaccine to be adequately distributed to gain immunity from the so-called herd and suppress the virus.

‘Really Good News’

The study covered a 30-week period between April and November with 12,180 health care workers at Oxford University Hospitals.

Workers were tested for antibodies to the virus that caused Covid-19 to find out if they had been previously infected. When they became unwell with the symptoms and as part of routine testing, they were diagnosed with the disease.

The findings show that 89 out of 11,052 staff without antibodies developed a new infection with symptoms. However, none of the 1,246 employees with antibodies developed a typical disease infection. Staff with antibodies were also found to be less likely to test positive for the virus without symptoms.

“This is really good news, because we can be confident that, very soon, most people who receive COVID-19 will not get it again,” said David Eyre, a professor in the Nuffield Department of Pollution Health at the University of Oxford. .

Furthermore, the researchers said the opposite also proved true. Health workers who do not have anti-covid antibodies have been found to be more likely to become infected.

On September 21, 2020, a woman exiting an ambulance outside Burgos Hospital in Burgos, northern Spain, on paramedic wheels, the first day of a two-week lockdown in an attempt to limit the new coronavirus secretion infection.

Caesar Manso | AFP | Getty Images

The researchers said there was not enough data yet to make a decision on prevention from early infection beyond a six-month period. Again this study will continue to collect data in the hope of verifying how long the collection from the data can last.

“This is an exciting discovery, suggesting that re-infection with the virus provides at least short-term protection from re-infection – the news comes in the same month as other encouraging news about the COVID vaccine,” said Dr. Said Katie Jeffrey. Prevention and control for Oxford University Hospitals.

Nov Oxford University Hospitals NHS An earlier study by the Foundation Trust’s Oxford University staff, published in November, found that the antibodies to Covid-1 to had halved in less than 90 days.

That study, whose peers have not yet been reviewed, said antibody levels drop and fall rapidly in younger adults.

“We know from previous studies that antibody levels decrease over time,” Ayre said, referring to research published earlier this month.

“But this latest study shows that infected people have some immunity. We will carefully follow this staffing to see how long-term safety works and if people are re-infected to see if the previous infection affects the severity of the infection.”

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