Predictive algorithm for COVID-19 infection risk in indoor environments - Scientific Reports

Nature·Jul 30

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Researchers have developed models and algorithms to predict and assess the risk of COVID-19 infection in various indoor environments. These models incorporate factors such as environmental data, meteorological conditions, and air pollution to estimate the risk of transmission. Studies on these models have been published, exploring their potential applications in different settings, including workplaces and crowded areas.

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