Jerome Marot
Well-known member
New research about the statistics of covid-19 transmission: https://news.mit.edu/2020/super-spreading-covid-transmission-1102
The study of about 60 super-spreading events shows that events where one person infects more than six other people are much more common than would be expected if the range of transmission rates followed statistical distributions commonly used in epidemiology.
Many factors may contribute to making someone a super-spreader, including their viral load and other biological factors. The researchers did not address those in this study, but they did model the role of connectivity, defined as the number of people that an infected person comes into contact with. The findings suggest that preventing super-spreading events could have a more impact on the overall transmission of Covid-19 than expected from current models.
The study of about 60 super-spreading events shows that events where one person infects more than six other people are much more common than would be expected if the range of transmission rates followed statistical distributions commonly used in epidemiology.
Many factors may contribute to making someone a super-spreader, including their viral load and other biological factors. The researchers did not address those in this study, but they did model the role of connectivity, defined as the number of people that an infected person comes into contact with. The findings suggest that preventing super-spreading events could have a more impact on the overall transmission of Covid-19 than expected from current models.