When I got to the village of Lokolama in the Congo rainforest last year, one of the first people I met was its traditional chief, Papa Joseph.
He was furious. Someone had just cut down his trees, he said, and threatened Papa Joseph with a gun.
https://t.co/ZfBU5ZkfKH
@GaryWeisbrodt@SKGov Rates are based on # of people *in each group*. Assuming 14-day delay for vacc status, dashboard says 883k with at least 1st dose, so 1.18M - 883k = 297k unvaxxed. So 18.6 / 100k * 297k = 55 cases. Your calc is the # of cases we'd expect if the entire province was unvaxxed.
Most of my life is devoted to data, research & progress on climate change. But it's a field I nearly walked away from when I was younger.
I was hopeless that anything could change.
That's why I'm convinced we need a new narrative.
My article in @WIRED:
https://t.co/KWniVlIGmT
1/5 Introducing The Epidemiologist R Handbook! Collaboratively written by and for applied epidemiologists. Check out https://t.co/54v72WHIzX and share widely!
This one took almost exactly five years from PhD defense to publication (mostly due to my own procrastination), but I’m happy it’s finally out! Data and code @datadryad, and also https://t.co/wnTe5FyKDi
Positive parental age effects do opposite, and in extreme cases can lead to selection gradients that increase with age throughout adulthood, contrary to predictions from classic theory. However, in most cases parental age effects have a relatively small impact on selection
Do you have #rstats skills and a bit of free time? Then you might help with some analytics tasks to repond to #COVID19
We started this repo to list needs of the epi / modelling community:
https://t.co/JU6B1VucXn
@rOpenSci @rstats4ds @rstudio