I have estimated the
trajectory distributions of
reproductive numbers of three genotypes of viruese, using BDSKY model, and sumarized the corresponding MAP trees from the the posterior tree samples generated from BDSKY model. I identified the reproductive number increasing above 1 by checking the plots of the
reproductive numbers, for all the three genotypes, and then I want to identified the subclade of the MAP trees that contribute to the increasings of the
trajectory distributions of the reproductive numbers. To achieve this goal, I follow the principle as below:
I attached the three plots of the three genotypes viruses below:
In the first two plots we can see the start time values are amost equal to the node ages of the subclades that are probably contributing to the reproductive number increasings, but in the third plot, we can see the start time is significantly smaller than the the node ages of the subclades.
I am not sure whether the principle I used to identify the subclades, is appropriate or not? If it is appropriate, why the start time is significantly smaller than the the node ages of the subclades for the third genotypes of virses.
Best,
Jie