I told @Brabbott42 in the @WSJ that the US is facing a "perfect storm" of #COVID19 test demand. But what does that mean? @RickABright @PPI_Insights @RockefellerFdn @uche_blackstock @HelenBranswell wsj.com/articles/covid… 🧵 1/15
When it comes to testing, there are 6 kinds of people we need to consider:

1.) The worried well

2.) The worried ill

3.) Those with #SARSCoV2.

4.) Those exposed to SARS-CoV-2.

5.) Those who need a test for work/school/travel.

6.) Those who need a test for the holidays. 2/15
1. The "worried well" have no symptoms, no known exposure, etc., but are freaked out because of the news around #Omicron. There's not much data on this group, but--based on our experience with H1N1 in 2009--we should assume demand is going up. 3/15 sciencedirect.com/science/articl…
2. The "worried ill" have #COVID19 symptoms, but are infected with something else. This is a new problem for our healthcare system this pandemic because we didn't have a flu wave last year. Flu positivity (along with non-flu/non-covid respiratory illness is WAY up). 4/15
Data from @BioFireDX shows that 85% of people being tested for respiratory symptoms in the US are infected with something that isn't SARS-CoV-2! 5/15 syndromictrends.com
The CDC's key indicator, ILI or the percent of healthcare visits for influenza-like-illness, is now at 3.5%. This is our first time above the baseline for flu season (we crossed a couple weeks ago) in two years. 6/15 cdc.gov/flu/weekly/ind…
Part of what's driving the increase is a mismatch in the vaccine strain for flu this year. But, the mismatch isn't only because we still struggle with vaccine strain selection... 7/15 medrxiv.org/content/10.110…
When we passage the virus through eggs (one of the manufacturing processes) it picks up mutations that are adaptive for eggs! The result is that the antigens are different and our antibodies trained against them aren't as effective. Evolution 🤯 8/15
You can get a flu vaccine grown in cell culture, which typically performs better. No data from this season, but you can read about past performance. I do *not* have a COI with the makers of Flucelvax. I'm just a fan of the evidence for its efficacy. 9/15 sciencedirect.com/science/articl…
Back to our 6 kinds of test seekers. Number 3, those with a SARS-CoV-2 infection. We know this number is already dangerously high in the US and will double every two days in places with #Omicron. Which is basically the whole US now. 10/15
4. Exposed individuals. For every case there are often many exposures. All of these individuals will need tests. So an exponential growth in cases leads to an even *faster* growth in test demand (could be super exp. as I said here or a higher rate). 11/15
5. We know there's persistently high demand for work/school/travel etc. In some places, e.g., universities, tests are handled on site, but for most of us, we have to stand in line at public sites. 12/15
Last but not least, it's the holiday season and public health officials are rightly stressing the need to test before gathering. This is SO important, especially with higher breakthrough rates from the #OmicronVariant. But, all of this demand is being put on the same sites! 13/15
So, what can we do?

1.) Mail rapid tests to everyone in the US. Let's start with a month's supply and go from there.

2.) Have ubiquitous, *free* rapid and PCR tests at public places like libraries, fire stations, houses of worship, community centers, etc.. 14/15

-cont-
3.) Sign up for the exposure notification apps!

4.) Free high-grade masks, pop up vaccine clinics, etc.

5.) Paid sick leave & child care.

If we take these steps NOW we might avoid lockdowns.

Good public health saves lives AND livelihoods!

There's no dichotomy. 15/15

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More from @svscarpino

26 Aug
"Acute infections in vaccinated and unvaccinated people feature similar proliferation and peak Ct, but vaccinated individuals cleared the infection more quickly. [BUT] Viral concentrations do not fully explain the differences in infectiousness..." 1/6 medrxiv.org/content/10.110…
New pre-print from the labs of @yhgrad & @NathanGrubaugh using data from the NBA, confirms that peak viral load is similar between vaccinated/unvaccinated cases, but clearance is faster in vaccinated. 2/6
However, and here is the *really* important part, viral concentrations did not fully explain differences in infectiousness between pre-Alpha, Alpha, and Delta variants. 3/6
Read 6 tweets
19 Jul
I'm honored and humbled to announce that I'm #MeetingThisMoment by joining the @RockefellerFdn as the Managing Director of Pathogen Surveillance. I'll be working w/ @RickABright & the incredible PPI team to build an equitable, ethical surveillance program. rockefellerfoundation.org/blog/rapid-gro…
I'm staying on @Northeastern as an affiliate assistant professor & would not be in a position to take on this incredible responsibility w/out the support from so many amazing individuals at NEU, especially Prof. Vespignani (@alexvespi) and the wonderful members of @NUnetsi.
I owe a huge thanks to countless other mentors, colleagues, and friends, but want to specifically call out @MOUGK, @johnbrownstein, and the entire @globaldothealth team. Working with you on improving #COVID19 data over the past 18 months has been the honor of lifetime.
Read 4 tweets
24 Feb
For the past year, we've been building an open data platform for tracking epidemics and curating a global repository of #COVID19 cases. Today, with support from @Googleorg & @RockefellerFdn, I'm proud to introduce @globaldothealth. 1/13
We have an amazing team of engineers, academics, technologists, and entrepreneurs; many of whom have volunteered hundreds of hours helping us build Global.health. You can learn about them and their incredible work here: global.health/about/ 3/13
Read 13 tweets
5 Nov 20
While we all anxiously await news from NV, GA, & PA, our (@LHDnets, @BMAlthouse, & @all_are) paper on pandemic risk assessment that goes *beyond R0* is out @RSocPublishing Interface. 1/10 royalsocietypublishing.org/doi/10.1098/rs…
Building from foundational work in math. epi. and network science, we show how super-spreading creates havoc for pandemic risk predictions based on R0 alone and then derive a method for correcting the predictions. 2/10
This paper includes what I think is the most intuitive explanation for how higher moments in the distribution of secondary infections affects epidemic risk that I've read (@LHDnets & @all_are wrote the following lines). 3/10
Read 10 tweets
4 Nov 20
Regardless of what happens, 48% of voters in US supported hate, greed, and anti-science. Until we accept and address these persistent issues, we cannot progress as a country.
Since the trolling has started, here’s my logic. In the 10 months leading up to this election, the actions of our incumbent president directly *caused* the deaths of >200k Americans and counting & wiped 12 trillion dollars from our economy.
Anyone voting for him must have an even stronger motive. The only ones I can think of are hate, greed, and anti-science. I file taking away a woman’s right to choose under hate and anti-science.
Read 6 tweets
5 Oct 20
The intensity of #COVID19 epidemics is heavily influenced by population structure. Our new paper analyzing high-resolution case, population, & mobility data from China and Italy is out today in @NatureMedicine. Co-led w/ @MOUGK & @EvolveDotZoo. 1/15 nature.com/articles/s4159… Image
The work brought together an international team of collaborators: B. Rader, @AnjalikaNande, @alison_l_hill, B. Adlam, @RCReinerJr, @davidmpigott, @B_Gutierrez_G, A. Zarebski, @munikShrestha, @johnbrownstein, @marciacastrorj, @chris0dye, H. Tian, @EvolveDotZoo, & @MOUGK 2/15
Using case data from the "Open COVID-19 Data Working Group" (github.com/beoutbreakprep…), paired with high-resolution population and mobility data, we showed that epidemics are sharper in lower-density areas and broader and longer in big cities. 3/15 ImageImage
Read 15 tweets

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