This is an interesting modeling study. It basically asks which is the best method to distribute vaccine when it is available in limited quantities. This has been discussed before, but this paper adds a more mathematical approach to the discussion. The model assumes a decrease in transmission by the people vaccinated. One key takeaway is that if you want to lower the incidence of the disease, adults 20-49 should get the vaccine. Giving it exclusively to 60+ leads to the lowest decrease in incidence, but the greatest decrease in mortality. That makes sense as the young are the primary spreaders. The question becomes how much value you put in the debilitating medical issues that fall short of death. No easy answers.
It also raises a point about Ab testing. It is not really talked about much, but you would get the most bang for your buck if you don't vaccinate people who would already be expected to have some prior immunity. Remember, this example assumes vaccine scarcity.
Reading this and I still don't see how COVID can be so damaging to their hospitals. They practically have no Flu.
View: https://twitter.com/rebeccaballhaus/status/1352331361626030082
It also raises a point about Ab testing. It is not really talked about much, but you would get the most bang for your buck if you don't vaccinate people who would already be expected to have some prior immunity. Remember, this example assumes vaccine scarcity.
Model-informed COVID-19 vaccine prioritization strategies by age and serostatus | Science
science.sciencemag.org
Reading this and I still don't see how COVID can be so damaging to their hospitals. They practically have no Flu.
View: https://twitter.com/rebeccaballhaus/status/1352331361626030082