model

USC researchers build model showing how many coronavirus infections masks prevent | Health

University of South Carolina researchers have developed a model of the coronavirus pandemic showing that masks have stemmed the spread of disease and prevented tens of thousands of infections in places that have adopted them widely.

The team’s aim is to put hard numbers on a refrain that public health experts have repeated for months: that masks make a difference and could bring the virus to heel. The lead researcher says he wanted to give decision-makers a clear view of how big that difference is.

That’s particularly significant in South Carolina, which doesn’t have a statewide mask requirement. Instead, questions about whether to wear a mask are far more localized here. It’s up to local governments to decide whether to require them, and for the millions of people here who aren’t bound by mandates, wearing a mask is an individual decision.

The USC model, developed by the university’s Automated Intelligence

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New model can simulate and analyze large number of viral infections

It is only 120 millionths of a millimetre in size but can bring entire countries to a standstill: the Corona virus. Even if it were to disappear one day, viral infections will still be among the most frequent and difficult-to-treat diseases in humans.

Even decades of research have only produced a few standardized vaccines and strategies for treatment to combat just a small number of viruses. Nor has there been much research into viral mechanisms of action – which was a reason for Prof. Guiscard Seebohm and his team at the Institute for the Genetics of Heart Diseases of Münster University to focus their attention on precisely this topic.

And the team has now succeeded in making a groundbreaking development: it has created a viral expression model which can be used to simulate and analyze a large number of viral infections –

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