Researchers have found that physical distancing is universally effective at reducing the spread of COVID-19, while social bubbles and masks are more situation-dependent. The researchers developed a model to test the effectiveness of measures such as physical distancing, masks or social bubbles when used in various settings.

Events were categorized as saturating (high transmission probability) or linear (low transmission probability). Examples of high transmission settings include bars, nightclubs and overcrowded workplaces while low transmission settings include public transit with masks, distancing in restaurants and outdoor activities.

The model suggests that physical distancing was effective at reducing COVID-19 transmission in all settings, but the effectiveness of social bubbles depends on whether chances of transmission are high or low.

Know more: https://www.sciencedaily.com/releases/2020/11/201120150726.htm

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