DiseaseOutbreak

Tweets from - a resource to increase #FAIRness of info on #COVID19 and SARS-CoV-2 variants from the Su, Wu, and Andersen labs at Scripps Research

[DiseaseOutbreak @DiseaseOutbreak]

What is https://t.co/C8XyxOPVa4? Visit the open source #COVID19 data & research hub from @scrippsresearch @cvisb @data2health @NIAIDFunding @CDCgov

[Scripps Research @scrippsresearch]

Scripps Research scientists @flaneuseks @andrewsu @chunleiwu have partnered with @NIAIDBioIT to launch the NIAID Data Ecosystem Discovery Portal - a searchable interface of infectious & immune-mediated datasets

[Professor Erwin Loh @erwinloh]

Scientists present #outbreak.info, a platform that currently tracks over 40 million combinations of #COVID19 Pango lineages and individual #mutations, across over 7,000 locations, to provide insights for researchers, public health officials and…https://t.co/WCwi4DTEdR

[Yasset Perez-Riverol @cubanoUK]

Que bien ver el artículo de https://t.co/VKs4xWgFdQ en Nature Methods. https://t.co/DuB2PG6Iwo durante el año 2020/2021 fue una de mis principales fuentes para generar estadísticas.

[DiseaseOutbreak @DiseaseOutbreak]

@CountyofSonoma epidemiologists track #COVID19 variants using https://t.co/c6AtWST0HM: https://t.co/XgQkA1F5Hk

[Scripps Research @scrippsresearch]

It remains critically important to continue tracking endemic #COVID19 in real time. Scientists at Scripps Research demonstrate the use of https://t.co/BvEVIFcQ6T as a standardized, searchable source of information on the virus & its variants https://t.co/PQCgmkhi2O @flaneuseks

[Nature Methods @naturemethods]

https://t.co/BnSLK4hXp2 Research Library collects and integrates COVID-19 information from various repositories, enabling 1-stop search for publications, clinical trials, datasets and other sources. https://t.co/FziPTgtzx0
@GTsueng @flaneuseks @K_G_Andersen @andrewsu @chunleiwu

[Nature Methods @naturemethods]

https://t.co/BnSLK4hXp2 Genomic Reports provides comprehensive and detailed information about SARS-CoV-2 lineages and mutations worldwide which facilitates near real-time genomic surveillance. https://t.co/cGXCOE3oKp
@gkay92 @flaneuseks @K_G_Andersen @andrewsu @chunleiwu

[Emily Smith @EmilyAnne_Smith]

https://t.co/EOLzId3wgQ is a great tool for exploring SARS-CoV-2 lineages worldwide. My favorite tool is the lineage comparison where you can easily see what lineages contain which mutations. This is really helpful when investigating possible recombinants! https://t.co/pcARWAw2wj

[DiseaseOutbreak @DiseaseOutbreak]

This work is made possible by @scrippsresearch @gisaid @NIAIDFunding @GTsueng @gkay92 @alaa_a_latif @malkuzweny @mindoftea @emilyehaag @chrissy_aceves @KZaiets @josh__levy @suchard_group @chunleiwu @andrewsu @flaneuseks & the entire https://t.co/C8XyxOyS84 team

[DiseaseOutbreak @DiseaseOutbreak]

We’re excited to announce https://t.co/C8XyxOyS84’s methodologies are published in 2 new papers in @naturemethods! In the 1st, learn about #SARSCoV2 variant tracking: https://t.co/WohrY0dRgN

[DiseaseOutbreak @DiseaseOutbreak]

As many COVID-19 surveillance platforms are being discontinued, https://t.co/6twKKCxnfz remains one of few tools that enable researchers & the public to monitor trends with current #epidemiology data: https://t.co/YAxQSrKXW8

[Joaquín Beltrán Free Palestine @joaquinlife]

On the question of whether XBB.1.5 has more acute severity, we can look at New Jersey for some hints where XBB.1.5 is estimated to have reached dominance around the beginning of this month and where the data shows a general upward trend in hospitalizations, ICUs, and ventilators.

[Erin Prater, MPH, M.A.², CHES® @ErinMPrater]

What’s CH.1.1? Meet #Orthrus, a new wildcard #Omicron strain with a concerning Delta mutation: https://t.co/ZizOMGa3Xs H/t @Mike_Honey_ @mtosterholm @CIDRAP #COVIDTwitter #sciencetwitter #medtwitter #pandemic #publichealth

[Prof Francois Balloux @BallouxFrancois]

UK Omicron variant soup ...
(GISAID genome submissions through https://t.co/hUvTMdAwPn)

[DiseaseOutbreak @DiseaseOutbreak]

@BioTurboNick @K_G_Andersen Because Pangolearn has low confidence for new sublineages, data is absorbed by the report for the parent lineage. We're replacing the older Pangolearn lineage classification engine with USHER so updates will happen more quickly. Expect to see these updates in the next 1-2 weeks.

[Ryan Hisner @LongDesertTrain]

R346K and R346S, for example, have been around (in substantial numbers) longer than R346T. R346T has just outcompeted them, as one would expect from the Bloom Lab data. (Graph courtesy of https://t.co/tkcfynIl0D) 12/

[Jeff Gilchrist @jeffgilchrist]

But if you look at the mutation differences of the spike protein between the original Omicron (BA.1) and the BE.* and BF.* that are in Ontario now there are a lot of differences. They look more like a BA.4 or BA.5 than a BA.1 ( https://t.co/ailU13Cuqq ). 6/