Top Tweets for #testtraceisolate

about 1 year ago

Covid-Zahlen USA: 📛 1 von 105 z.Zt. aktiv mit Covid infektiös #MaskUp #CovidIsNotOver #TestTraceIsolate

over 1 year ago

1) PMC C0VlD Dashboard, Mar 3, 2025 (U.S.) 🔥1 in 6 people infected so far this wave 🔥1 in 105 people actively infectious 🔥3 million weekly infections Watch the final minute if you use multilayered mitigation. You're not alone. 💉💪😷👍

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over 1 year ago

Es wird erwartet, dass sich > 10 Mio. Menschen in den USA im nächsten Monat mit Covid infizieren. #MaskUp #CovidIsNotOver #TestTraceIsolate

over 1 year ago

1) PMC COVlD Dashboard, Feb 24, 2025 (U.S.) 🔹1 in 87 (1.2%) actively infectious 🔹>500,000 estimated daily infections 🔹Higher transmission than this time in 2021 or 2022 🔹1 in 3 chance of exposure in a group of 35 people if no testing/isolation

michael_hoerger's tweet photo. 1) PMC COVlD Dashboard, Feb 24, 2025 (U.S.)

🔹1 in 87 (1.2%) actively infectious
🔹>500,000 estimated daily infections
🔹Higher transmission than this time in 2021 or 2022
🔹1 in 3 chance of exposure in a group of 35 people if no testing/isolation https://t.co/ZjXWFYk7sg

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over 1 year ago

Covid-Zahlen für USA: 1 von 67 z.Zt. aktiv mit Covid infektiös 😭 #MaskUp #CovidIsNotOver #TestTraceIsolate

over 1 year ago

Only 1 in 28 cases are being reported.

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over 1 year ago

Covid-Infektionen in den USA: Z.Zt. 1 von 87 aktiv infektiös mit COVID-19 😭 #MaskUp #CovidIsNotOver #TestTraceIsolate

over 1 year ago

1) PMC COVID-19 Forecast for Jan 20, 2025 (U.S.) If we are lucky, the 10th wave has peaked, likely in the 0.9-1.1 million daily infections range, barring significant retroactive corrections. Over the next month, we should still see about 14 million infections, resulting in 700K to 2.8 million new conditions and enduring symptoms under the umbrella of #LongCOVID. This is simply your reminder than transmission remains high on the back on of a wave. Regarding the peak, there were huge retroactive downward corrections, especially in Oregon. The CDC data originally showed one of the largest waves there all-time, and then corrected it to say a complete lull the whole time. Once the Biobot data get updated, we may see the peak date change by a week, or jump a bit higher than what you see in the main figure. What you see in the far end of the forecast is unlikely to be a "high lull," but rather an average between a low lull versus a sustained post-peak haunch of lingering transmission. So, keep an eye on the data. If you're putting off a non-urgent medical appointment, we could get into relatively lower transmission in the next 4-8 weeks. What has me concerned is a sneak-peek of @jlerollblues's long-term forecast indicating a clear possibility of an earlier "mid-year" wave than usual, perhaps even in April. We're still getting pretty lucky on the viral evolution front, but the longer that persists, in absent of major policy change, the bigger the wave we could get. It's a very important time to stay tuned. Caveats: No data from Biobot in weeks (20% model weight). The California wildfires and pending severe storms in the Deep South are wildcards for transmission. School-based transmission could pick up, but to get a higher peak, transmission would need to pick up much faster in the South and West than in the Midwest and North (unlikely). In the report, I note that PMC will persist even if the CDC drops or scales back their surveillance program. Also, the most two recent "odd" waves have helped clarify how to handle historical data, and a minor update to the model should help with future atypical waves. If time permits, we will fine-tune those changes further, but there are always more battles on the Covid front than we're able to fight. We also provide a link and light commentary on our recent pre-print showing what our current case estimation model for estimating present/prior daily infections has performed well, and why a lot of other models (BNO, JP, CDC) are underestimates. Info for new readers: For those unfamiliar with the PMC model, find full weekly reports for the past 1.5 years at https://t.co/xmDnq5NN8N The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks. Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at https://t.co/ddcyi164IX Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, NBC, and CNN. See pgs 11-13 at the above link. #MaskUp #VaxUp #CleanTheAir #RapidTest

michael_hoerger's tweet photo. 1) PMC COVID-19 Forecast for Jan 20, 2025 (U.S.)

If we are lucky, the 10th wave has peaked, likely in the 0.9-1.1 million daily infections range, barring significant retroactive corrections.

Over the next month, we should still see about 14 million infections, resulting in 700K to 2.8 million new conditions and enduring symptoms under the umbrella of #LongCOVID. This is simply your reminder than transmission remains high on the back on of a wave.

Regarding the peak, there were huge retroactive downward corrections, especially in Oregon. The CDC data originally showed one of the largest waves there all-time, and then corrected it to say a complete lull the whole time. Once the Biobot data get updated, we may see the peak date change by a week, or jump a bit higher than what you see in the main figure.

What you see in the far end of the forecast is unlikely to be a "high lull," but rather an average between a low lull versus a sustained post-peak haunch of lingering transmission. So, keep an eye on the data. If you're putting off a non-urgent medical appointment, we could get into relatively lower transmission in the next 4-8 weeks. What has me concerned is a sneak-peek of @jlerollblues's long-term forecast indicating a clear possibility of an earlier "mid-year" wave than usual, perhaps even in April. We're still getting pretty lucky on the viral evolution front, but the longer that persists, in absent of major policy change, the bigger the wave we could get. It's a very important time to stay tuned.

Caveats: No data from Biobot in weeks (20% model weight). The California wildfires and pending severe storms in the Deep South are wildcards for transmission. School-based transmission could pick up, but to get a higher peak, transmission would need to pick up much faster in the South and West than in the Midwest and North (unlikely).

In the report, I note that PMC will persist even if the CDC drops or scales back their surveillance program. Also, the most two recent "odd" waves have helped clarify how to handle historical data, and a minor update to the model should help with future atypical waves. If time permits, we will fine-tune those changes further, but there are always more battles on the Covid front than we're able to fight. We also provide a link and light commentary on our recent pre-print showing what our current case estimation model for estimating present/prior daily infections has performed well, and why a lot of other models (BNO, JP, CDC) are underestimates.

Info for new readers:

For those unfamiliar with the PMC model, find full weekly reports for the past 1.5 years at https://t.co/xmDnq5NN8N

The models combine data from IHME, Biobot, and CDC to use wastewater to estimate case levels (r = .93 to .96) and forecast levels the next month based on typical levels for that date and recent patterns of changes in transmission the past 4 weeks.

Our work has been cited in top scientific journals and media outlets, which are fully sourced in a detailed technical appendix at https://t.co/ddcyi164IX

Examples include JAMA Onc, JAMA-NO, BMC Public Health, Time, People, TODAY, the Washington Post, the Institute for New Economic Thinking, Salon, Forbes, the New Republic, Fox, CBS, NBC, and CNN. See pgs 11-13 at the above link.

#MaskUp #VaxUp #CleanTheAir #RapidTest

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Ralf Wittenbrink @RWittenbrink

over 1 year ago

Warum werden die Kinder in Kitas und Schulen in Deutschland nicht mehr geschützt? Die verantwortlichen Behörden kennen die Maßnahmen. Am Anfang der Pandemie 2020 wurden sie angewendet ❗ #TestTraceIsolate #MaskUp @Karl_Lauterbach @BMG_Bund @TschenPe @hh_bsb @Gesundheit_HH

over 1 year ago

Long-Covid-Fälle bei Jüngeren steigen stetig «Haben Kinder, die gesagt haben, dass sie nicht mehr leben möchten» Die Auswirkungen von #LongCovid auf Kinder und Jugendliche in der Schweiz werden zunehmend spürbar. Um dem entgegenzuwirken, … #COVID19 #ProtectTheKids #Corona

RWittenbrink's tweet photo. Long-Covid-Fälle bei Jüngeren steigen stetig
«Haben Kinder, die gesagt haben, dass sie nicht mehr leben möchten»

Die Auswirkungen von #LongCovid auf Kinder und Jugendliche in der Schweiz werden zunehmend spürbar. Um dem entgegenzuwirken, …

#COVID19 #ProtectTheKids #Corona https://t.co/w8SpMQSLOi

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VintageKidsGoodies @VintageKidsNL

over 1 year ago

@geertwilderspvv @telegraaf Zulken we dan ook gelijk virus scans doen #testtraceisolate @ministerVWS @wiepau

Daniel Brittain Dugger

@dbdugger

over 1 year ago

Every day parallels continue to be drawn to ME/CFS is another day lost that could have been used to determine the length and level of suppression required to prevent disease progression and forward transmission.

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@prisma 🌎🌍🌏🌈😷🤝😷❤️ @positiv_handeln

over 1 year ago

@RolandJger4 🤯 Fast 1 Mio. Menschen in Deutschland neu COVID-19 positiv in der vergangenen Woche 🤯 #MaskUp #CovidIsntOver #TestTraceIsolate

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almost 2 years ago

#DankeJan Und weil mit Hilfe vorerst nicht zu rechnen ist, sondern erst alle Hebel dafür in Bewegung gesetzt werden müssen, please don‘t you forget: #LongCovidIsAirborne #WearAMask #CovidIsNotOver #CleanAir #TestTraceIsolate #Solidarität <-> #Selbstschutz 😷😷😷

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almost 2 years ago

@RolandJger4 🧮 Die Wahrscheinlichkeit, an #LongCovid zu erkranken, steigt mit der Zahl der Infektionen. Die Wahrscheinlichkeit ist kumulativ. #TestTraceIsolate #MaskUp

mariveen8's tweet photo. @RolandJger4 🧮 Die Wahrscheinlichkeit, an #LongCovid zu erkranken, steigt mit der Zahl der Infektionen.
Die Wahrscheinlichkeit ist kumulativ.

#TestTraceIsolate
#MaskUp https://t.co/o2t0MvWv1s

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almost 2 years ago

Fehleinschätzungen von #COVID - sehr gut widerlegt ❗ 👇 #TestTraceIsolate #MaskUp

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almost 2 years ago

@RolandJger4 ❌ Fast 15 % berichteten #LongCovid Symptome nach 1 Infektion. ❌ Fast 40 % berichteten Long Covid Symptome nach 3 oder mehr Infektionen. #MaskUp #CovidIsNotOver #TestTraceIsolate 👇

mariveen8's tweet photo. @RolandJger4 ❌ Fast 15 % berichteten #LongCovid Symptome nach 1 Infektion.

❌ Fast 40 % berichteten Long Covid Symptome nach 3 oder mehr Infektionen.

#MaskUp
#CovidIsNotOver
#TestTraceIsolate
👇 https://t.co/2VTji8T3ti

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Jan - TTI, wear respirator, demand more ACH. HEPA @quarecuttie

almost 2 years ago

Wie wahr das ist ❗👇 #MaskUp #TestTraceIsolate

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almost 2 years ago

@SammieFMc @thismorning @DrZoeWilliams @AlisonHammond Why aren’t you asking people to test? Do you want asymptomatic spread? What happened to #TestTraceIsolate or #DoNoHarm ?

quarecuttie's tweet photo. @SammieFMc @thismorning @DrZoeWilliams @AlisonHammond Why aren’t you asking people to test? Do you want asymptomatic spread? What happened to #TestTraceIsolate or #DoNoHarm ? https://t.co/TvznOXCQgy

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almost 2 years ago

@RolandJger4 #LongCovid beachten ⚠️ 🔸️es ist eine Erkrankung der Blutgefäße 🔸️es kann jedes Organ schädigen 🔸️es kann persistieren 🔸️es geht dahin, wo das Blut hingeht #MaskUp #CovidIsNotOver #TestTraceIsolate

mariveen8's tweet photo. @RolandJger4 #LongCovid beachten ⚠️
🔸️es ist eine Erkrankung der Blutgefäße
🔸️es kann jedes Organ schädigen
🔸️es kann persistieren
🔸️es geht dahin, wo das Blut hingeht

#MaskUp
#CovidIsNotOver
#TestTraceIsolate https://t.co/wUYjD05DYQ

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almost 2 years ago

@RolandJger4 Das Risiko, #LongCovid zu entwickeln, ist kumulativ. Fast 40 % Risiko bei 3 Infektionen 🤯 👇 #MaskUp #CovidIsNotOver #TestTraceIsolate https://t.co/7q4HbxBYbj

mariveen8's tweet photo. @RolandJger4 Das Risiko, #LongCovid zu entwickeln, ist kumulativ.

Fast 40 % Risiko bei 3 Infektionen 🤯
👇

#MaskUp
#CovidIsNotOver
#TestTraceIsolate

https://t.co/7q4HbxBYbj https://t.co/q8n5HaAEwe

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