A couple questions for those who might know:
1. Slide 16 mentions India but the details aren't clear. Is this study's focus on breakthrough cases and spreading of Delta based off data in India? I know India was where Delta originated and that it blindsided them because COVID measures that worked well for previous variants did not work anymore - so does that simply mean that the most data on Delta happens to be in India due to the larger cumulative number of Delta cases there? And if so how applicable is that data to the US, given that the type of vaccine administered is different and may have different (reduced) efficacy compared to Pfizer or Moderna, and since other factors (population size, density, healthcare quality, etc) may also be different and influence the data?
2. The graphs on Slides 20-21 are unclear to me. My interpretation is that they have four different scenarios and are using the bottom-left one, which assumes a higher R0 representing the Delta variant, and a lower assumption of natural immunity of 5% - basically the more conservative outlook. The graph itself seems to be indicating a probability of increase in cases, and we presumably want to be below 0.5. The legend shows three colors for universal masking, masking of the unvaccinated, and no masking. But the graph itself has five color bands - are the other color bands just hybrids? So the color between beige and lilac represents some vaccinated people masking and all unvaccinated people masking? And no masking is not an option per this graph even at 100% vaccination, because the probability of cases increasing would be around 80% still? If the natural immunity is higher (the bottom-right graph), then there is no need for universal masking in nearly all levels of vaccination? Am I interpreting all that correctly?