There are effectively two #COVID19 epidemics in the US at this moment; one largely resolving epidemic comprised of non-variant viruses and one growing epidemic of B.1.1.7. Together they have resulted in a near-plateau of cases throughout much of the spring. 1/10
If we look at virus frequencies in the US using data in @GISAID, we can see that the 7-day weighted frequency of B.1.1.7 has been growing consistently since January and is now over 50% in the US. 2/10
This pattern is repeated across individual states. These six were chosen as states with plentiful genomic data and to provide geographic diversity. B.1.1.7 is dominating throughout the US, except for New York and surroundings where B.1.526 is co-circulating. 3/10
We can use the estimated frequency of B.1.1.7 to split cases reported by @CDCGov (data.cdc.gov/Case-Surveilla…) into non-B.1.1.7 cases and B.1.1.7 cases. In the following I've applied a 7-day smoothing to case trajectories. 4/10
This is showing B.1.1.7 cases in blue stacked on top of non-B.1.1.7 cases in gray, where it's clear that non-B.1.1.7 cases have continued to decline, while B.1.1.7 cases have continued to increase. 5/10
Plotting each on a log scale makes growth and decline more obvious. Without the contribution of B.1.1.7 there would have been ~32k cases on April 7 rather than the observed ~65k cases. 6/10
We can see the same pattern repeated in individual states with growing B.1.1.7 epidemics on top of a largely resolving non-B.1.1.7 background. Some states like California have less of a B.1.1.7 epidemic and some like Colorado and Michigan have more of a B.1.1.7 epidemic. 7/10
Again, plotting non-B.1.1.7 cases (in gray) and B.1.1.7 cases (in blue) on a log scale makes the separation of growth and decline more obvious. 8/10
This is consistent with what's been seen in the UK and in Europe and supports a transmission advantage of B.1.1.7. Thus we see that the same conditions that can lead to control of older non-B.1.1.7 viruses and Rt < 1, can still result in growth of B.1.1.7 and Rt > 1. 9/10
That said, there are multiple factors that should be resulting in continued improvements to the US COVID-19 epidemic (vaccination, continued build up of natural immunity from infection, improved seasonality). It's unclear to me how much of a wave from B.1.1.7 to expect. 10/10
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Currently, the US is reporting about 54k daily cases of COVID-19 (16 per 100k per capita) and the UK is reporting about 4k (6 per 100k). This seems comfortingly low compared to even this summer's BA.5 wave and let alone last winter's BA.1 wave. Figure from @OurWorldInData. 1/16
However, at this point, nearly all infections will be in individuals with prior immunity from vaccination or infection and this combined with a roll back in testing makes it unclear how to interpret current case counts compared to previous time periods. 2/16
We're interested in the case detection rate or the ratio of underlying new infections compared to reported cases. Throughout much of 2020 and 2021, I had a working estimate of 1 infection in ~3.5 getting reported as a case. 3/16
Largely through partial immune escape, lineage BA.5 viruses resulted in sizable epidemics throughout much of the world. However, in most countries these epidemics are now beginning to wind down. What do we expect after BA.5? 1/10
Lineage BA.2.75 (aka 'Centaurus') has been high on watch lists due to sustained increase in frequency in India combined with the presence of multiple mutations to spike protein. We now have enough sampled BA.2.75 viruses from outside India to make some initial conclusions. 2/10
If we look at frequency data we see sustained logistic growth of BA.2.75 in India, Japan, Singapore and the US. Critically, in India it is clearly displacing BA.5. 3/10
Based on the experience in winter 2020/2021, seasonal influence on SARS-CoV-2 transmission is quite clear, but much of the Northern Hemisphere is currently experiencing large summer epidemics driven the spread of evolved BA.5 viruses. 1/11
It's necessarily fraught to try to make predictions of seasonal circulation patterns going forwards, but we can gain some intuition from simple epidemiological models. 2/11
In particular, we can use an SIRS system in which individuals go from Susceptible to Infected to Recovered, and then return to the Susceptible class due to immune waning / antigenic drift of the virus. 3/11
There seems to be a worry that telling people we've exited the "pandemic phase" will lead to further reduced precautions. As always however, I think it's best not to conduct messaging for intended behavioral effect and just try to make scientifically accurate statements. 1/5
Given vaccination and infection, the US and global population now has widespread immunity to SARS-CoV-2 and deaths per-infection are about 10 times lower than they were pre-immunity in 2020 with a ballpark IFR of 0.05% (though this will vary by immunity and age demographics). 2/5
You can see this reduction in mortality rate in looking at projections of deaths from lagged-cases keyed to early case fatality rate. 3/5
The @US_FDA VRBPAC committee will be meeting tomorrow to discuss variant-specific COVID-19 vaccines (fda.gov/advisory-commi…). Based on present observations, I would argue that the most important metric to optimize are titers against BA.4/BA.5 viruses. 1/10
We've seen repeated replacement of SARS-CoV-2 variants during 2022, first of Delta by Omicron BA.1 and then by sub-lineages of Omicron, with BA.2 replacing BA.1 and now with BA.4/BA.5 replacing BA.2. 2/10
Viruses have been evolving to be higher fitness through both increases in intrinsic transmissibility (seen in BA.2 vs BA.1) as well as escape from existing population immunity (seen in Omicron vs Delta as well as BA.4/BA.5 vs BA.2). 3/10
Global monkeypox confirmed and suspected cases compiled by @globaldothealth show initial rapid increase as case-based surveillance comes online, followed by slower continued growth. 1/10
This is data from github.com/globaldothealt… and has had a 7-day smoothing applied and all y-axes are shown on a log scale. 2/10
If we focus on the last 11 days, we can see steady exponential growth in global cases with a ~7.7 day doubling. 3/10