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| Illustration Credit: Kojima Kyoko |
A research group has created a new model to calculate the probability of the occurrence of localized clusters caused by novel coronavirus infections. Led by Shingo Iwami at Nagoya University with collaborators in the United Kingdom and South Korea model, they revealed that screening of infected persons by antigen testing is effective in significantly reducing the probability of cluster occurrence. However, their findings also suggest that it is not sufficient to prevent clusters caused by highly infectious mutant strains, such as Omicron.
With the availability of COVID-19 vaccines and population immunity, countries around the world are seeking to resume social activities while also trying to prevent the spread of infection. However, outbreaks of new strains of the coronavirus, associated with increased infectiousness and evasion of existing immunity, continue to be a threat. In several countries, new infections are increasing as the northern hemisphere enters the autumn and winter months.


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