There is increasing interest in superspreading for COVID-19, not least due to an excellent article by @kakape on the topic 1/9https://www.sciencemag.org/news/2020/05/why-do-some-covid-19-patients-infect-many-others-whereas-most-don-t-spread-virus-all …
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W odpowiedzi do @C_Althaus @kakape
I know little about this, but is anything known about how much "detection" bias there is in the investigated/reported clusters? The clusters only represent a (convenience?) sample of all cases and there is a larger asymptomatic/presymptomic component? 1/
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not sure of the direction of the bias, but the reported cluster sizes are self-exciting processes -> if you look you find more and if you don't look then you will not find much? Just a thought... probably someone of the publications have given this more thought... 2/
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Can definitely lead to a biased estimate. Which is why it is important to use different data sources and methods for estimating k, e.g., cluster sizes, contact tracing studies and outbreak trajectories.
Wydaje się, że ładowanie zajmuje dużo czasu.
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