THREAD
As scientists race to understand the new COVID variants, we have a valuable tool at hand: multiple ongoing Phase 3 vaccine trials. These can provide valuable insights into vaccine protection as well as the natural epidemiology of the variants via the placebo arms. 1/
The first indication of whether vaccine protection is affected will come from the lab: neutralization studies assessing whether vaccine-induced antibodies are as effective at neutralizing the new variant as earlier strains of SARS-CoV-2. Similar activity will be reassuring. 2/
But neutralization assays only assess the antibody contribution to protection, and they won’t measure transmissibility of the new variant. Animal models can provide some information, but definitive answers will only come from clinical and epi studies. 3/
This is where ongoing Phase 3 trials come in. The trials weren’t designed or powered to assess vaccine protection against a new variant but could be amended to conduct key descriptive analyses and provide useful insights. 4/
The first step would be to sequence viruses from COVID cases (not necessarily planned) to follow the emergence of the variant in the study population. The variants are almost certainly present in the Phase 3 trials in the UK and S Africa and will appear elsewhere over time. 5/
Several descriptive analyses can then be conducted:
🔹vaccine efficacy against the new variant, including against severe disease
🔹clinical profile of disease caused by the variant
🔹natural epidemiology of the variant as compared to earlier strains in the placebo arm 6/
We can also look at parameters that correlate with transmission. In trials where prevention of infection is being assessed (eg, weekly nasal swabs in AZ trial), we could look for differences in VE against infection caused by the variant vs earlier strains. 7/
Virus titers in the nose may correlate with transmission. In all trials, we can compare nasal Ct values between cases caused by the variant vs others, elucidating both natural epidemiology (placebo arm) and impact of vaccination. 8/ @dkenned11 journals.plos.org/plosbiology/ar…
Amendments to the Ph3 protocols are likely to be necessary to conduct these analyses, but there are standard procedures for this. Sequencing of all virus strains may not have been planned but could be done on stored samples; 9/
Many of these analyses require contemporary (not historical) comparisons between the vaccine and well-matched placebo arms, reinforcing the value of maintaining placebo groups as long as possible. 10/ @sciencecohen
sciencemag.org/news/2020/12/m…
In most cases, these would be post-hoc or descriptive analyses, which can be confounded and need to be interpreted with appropriate caveats and caution. Nevertheless, they could provide valuable information for future decision making and vaccine development. 11/

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More from @rvenkayya

12 Dec
I've participated in some great discussions on #COVID19 and #vaccines on #Clubhouse recently. I’ll use this thread to share some references I’ve mentioned and/or plan to bring up in future rooms. @joinClubhouse 1/

@JorgeCondeBio
First up is a new tool from @bhrenton that tracks #CovidVaccine allocations to US states, and *some* distribution sites, based on publicly-available sources and pending a federal tracking website. 2/

Next up is a link to the Black Coalition Against Covid (@BCAgainstCOVID), which I learned about when I was on a panel with its cofounder @DrReedTuckson. It has a number of good resources including a great town hall on COVID-19 vaccine development. 3/
Read 7 tweets
6 Dec
THREAD

Swiss cheese is great for explaining how to slow a virus, as @MackayIM's fantastic graphic shows.

There's a history. Dr. Carter Mecher first applied Swiss cheese to pandemics in 2006 at the White House. I told the story @statnews in April. 1/

statnews.com/2020/04/24/swi…
Carter came across James Reason's work in human failures and complex systems when he worked on patient safety at the Dept of Veterans Affairs.

Swiss cheese was a good way to explain the power of early coordinated NPIs in a pandemic, which was called "community mitigation." 2/
Community mitigation came out of @DrRHatchett's work to understand the impact of combined NPIs. In 2006 Richard commissioned NIH-funded MIDAS modelers (3 groups) to model NPIs at different points in time. 3/

@PNASNews @betzhallo @neil_ferguson @ilongini

pnas.org/content/105/12…
Read 6 tweets
1 Dec
Fully agree that a human challenge trial *would not* have resulted in an authorized/approved vaccine any sooner.

Disagree that every smart person was recommending a human challenge trial to speed up the approval process. 1/
It is not a simple undertaking to establish a human challenge model, particularly with a novel virus for which the pathophysiology is not well-understood and where a targeted therapeutic is not available for what could be a lethal disease. 2/
Safety is obviously a major issue to be worked out, and this is tightly linked to ethical considerations. Beyond this, it takes time to determine the baseline infection/disease parameters that you hope to modify with the vaccine. 3/ thelancet.com/journals/lanin…
Read 6 tweets
29 Nov
@bnallamo Fair question. Here are a few thoughts from a non-regulator. First, @US_FDA, led by Peter Marks and Operations Warp Speed, led by Moncef Slaoui, recognize that every day matters for HCWs and high-risk groups and are moving with extraordinary speed. 1/
@bnallamo @US_FDA An EUA (Emergency Use Authorization) for a vaccine is not the same as a therapeutic, given that the vaccine is being given to subgroups of people who are “healthy” and may or may not be exposed to the virus. The bar for safety & efficacy data is therefore higher than for Rx. 2/
@bnallamo @US_FDA The dataset is very large (44K participants), and thorough analyses of safety & efficacy take time. Moreover, the studies aren’t powered to conclude efficacy in the subgroups being considered for EUA, yet convincing benefit-risk assessments for those groups need to be shown. 3/
Read 10 tweets
12 Nov
THREAD
In light of the Pfizer #vaccine news, a natural question is whether it's feasible to develop “better” #COVID19 vaccines after the first ones are approved?

The answer is yes. It can be complicated but there are ways to do it. 1/

First let’s break this down into three questions:
▪️ Why might we want better vaccines?
▪️ Why would it be hard to study new vaccines?
▪️ What are the options for doing this? 2/
WHY MIGHT WE WANT BETTER VACCINES?

After we’ve seen full Phase 3 datasets on the first vaccines, we may desire better efficacy in certain populations, longer protection, greater impact on transmission, improved dosing schedule, or an improved safety profile. 3/
Read 24 tweets
9 Nov
This is very good news indeed, and the *potential* implications go well beyond the @pfizer #COVID19 vaccine.

While we just have the press release, it's worth reviewing what this *could* mean for the pandemic and beyond. A thread. 1/

@BioNTech_Group
First, it shows vaccines *can* prevent COVID illness in humans, and it validates the spike protein target. We didn't know these things before today, and it's good news for all #COVID19 vaccines in development. 1/
Second, the early efficacy is quite high, although it may wane over time. We can't say anything about duration of protection yet, but it helps to start from a high level of efficacy. Higher efficacy reduces the uptake needed to significantly dampen virus transmission. 2/
Read 8 tweets

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