RT @DrEricDing: 🚨New higher R0 from CDC reanalysis... it’s a 5.7!🚨(95% Confidence Interval: 3.8–8.9). Wowzers. This much higher #SARSCoV2 R…
RT @babin_coy: 新しいリサーチによるとコロナのR0(対策がない状態の一人当たりの感染力)が5.7。 これはとんでもない数値。 つまり何もしなかったら一人の感染者は5人以上にうつす傾向が見られるということ。 ちなみにインフルエンザのR0は1.3。 ゾッとする数…
RT @babin_coy: 新しいリサーチによるとコロナのR0(対策がない状態の一人当たりの感染力)が5.7。 これはとんでもない数値。 つまり何もしなかったら一人の感染者は5人以上にうつす傾向が見られるということ。 ちなみにインフルエンザのR0は1.3。 ゾッとする数…
@BritCanuck_Dude @JoeConchaTV @Barnes_Law it's dry reading, and idk why it says july 2020 it's mostly from january in wuhan. https://t.co/419mcWdWpO
RT @jafetcares: El 07/04 @CDCgov publicó estudio sobre la estimación del R0 del COVID-19 en China. Su estudio estima que la pandemia en Chi…
1/ I missed the paper that calculated #COVID19 at 5ish, but that fits the evidence, both of the rapid rate of growth in NYC & the difficultly getting R(t) << 1 despite #StayHome https://t.co/DxMSEwGBkl
RT @jafetcares: El 07/04 @CDCgov publicó estudio sobre la estimación del R0 del COVID-19 en China. Su estudio estima que la pandemia en Chi…
@JohnnyBeeDawg @davidfrum Flu has an R0 of 1.3 due to widespread vaccination. Latest estimates for COVID-19 are 4.7 - 6.6 https://t.co/RiNzofllnb and 3.8 - 8.9 (95% CI) https://t.co/wVtyBMHErd . The believe the Flu is "more contagious" shows a misundersta
RT @jafetcares: El 07/04 @CDCgov publicó estudio sobre la estimación del R0 del COVID-19 en China. Su estudio estima que la pandemia en Chi…
RT @jafetcares: El 07/04 @CDCgov publicó estudio sobre la estimación del R0 del COVID-19 en China. Su estudio estima que la pandemia en Chi…
El 07/04 @CDCgov publicó estudio sobre la estimación del R0 del COVID-19 en China. Su estudio estima que la pandemia en China se manifestó con un R0 de 5.7, considerando periodos de 6-9 días para su estimación. En PTY solo se calcula con un solo periodo. h
RT @hontounokotoga1: Assuming a serial interval of 6–9 days, we calculated a median R0 value of 5.7 (95% CI 3.8–8.9). We further show that…
Ought to be interesting around May 8 or so. "Incubation period (4.2 days)...R0 is likely to be 5.7...the virus has the potential to spread rapidly and infect a large fraction of the population, overwhelming healthcare systems" https://t.co/UyN80NPtWW
@almostoneword @TrevorWAllman @richardhorton1 This chart on R0 is out of date according to the CDC https://t.co/4SwfBWs4Cd
@jaycaspiankang my sister @maiamajumder has been doing excellent work around this and is definitely worth a follow! https://t.co/NW91Y8HLuB
RT @DrEricDing: 🚨New higher R0 from CDC reanalysis... it’s a 5.7!🚨(95% Confidence Interval: 3.8–8.9). Wowzers. This much higher #SARSCoV2 R…
RT @chikawatanabe: 科学的文献。ご参考まで ”High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2” https://t.co/lF8…
RT @chikawatanabe: 科学的文献。ご参考まで ”High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2” https://t.co/lF8…
RT @chikawatanabe: 科学的文献。ご参考まで ”High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2” https://t.co/lF8…
Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7—July 2020 - Emerging Infectious Diseases journal - CDC https://t.co/LnpYqVDJH6 via @CDCgov
@ctitusbrown @zeynep @crowdsourcing There's the fact that we don't know what quality of immunity is conferred by exposure. And that an R0 of 3 is assumed because recent research suggesting a 95% confidence interval on R0 of 3.8-8.9 wasn't considered. http
【#今日のCOVID19関係情報】
RT @chikawatanabe: 科学的文献。ご参考まで ”High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2” https://t.co/lF8…
科学的文献。ご参考まで ”High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2” https://t.co/lF8aiUHgOC ‘‘Herd Immunity’’: A Rough Guide (PDF) https://t.co/2Z76pisqrR
RT @ChristosArgyrop: @PAWellingMD LANL who are doing a much better job modeling this than many others, looked at Chinese data before the lo…
But at R0 = 5.7, this threshold rises to 82% (i.e., >82% of the population has to be immune, through either vaccination or prior infection, to achieve herd immunity to stop transmission). #COVID__19 https://t.co/UyN80NPtWW
@AngelFlorian78 @systemanalysen @ergroovt @maithi_nk Das glaube ich wiederum nicht. Dann müssten wir schon viel mehr Fälle haben, denn R0 wurde ja immer wieder nach oben korrigiert. Zuletzt auf 5,7. https://t.co/f1FBI4TAlb Wäre das Virus schon im November
RT @DrEricDing: 🚨New higher R0 from CDC reanalysis... it’s a 5.7!🚨(95% Confidence Interval: 3.8–8.9). Wowzers. This much higher #SARSCoV2 R…
Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7—July 2020 - Emerging Infectious Diseases journal - CDC https://t.co/lTUHVYvLnS
RT @hontounokotoga1: Assuming a serial interval of 6–9 days, we calculated a median R0 value of 5.7 (95% CI 3.8–8.9). We further show that…
RT @hontounokotoga1: Assuming a serial interval of 6–9 days, we calculated a median R0 value of 5.7 (95% CI 3.8–8.9). We further show that…
RT @hontounokotoga1: Assuming a serial interval of 6–9 days, we calculated a median R0 value of 5.7 (95% CI 3.8–8.9). We further show that…
Assuming a serial interval of 6–9 days, we calculated a median R0 value of 5.7 (95% CI 3.8–8.9). We further show that active surveillance, contact tracing, quarantine, and early strong social distancing efforts are needed to stop transmission of the virus.
@DagnyGTaggart @DonnaMHayes1 @NEMama10 @TeamTrump @TrumpWarRoom @realDonaldTrump @BlueAngels @AFThunderbirds Yes, if you look at that link above it is tracked by the CDC. They do statistical analysis. The infectiousness of flu is around R1.3, and initial r
RT @ChristosArgyrop: @PAWellingMD LANL who are doing a much better job modeling this than many others, looked at Chinese data before the lo…
Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7—July 2020 - Emerging Infectious Diseases journal - CDC https://t.co/az5TH8oHJ5
@monkey_pasta @anything_joes @antonfmark @GephenS @LuisVCg2 @AndyBiotech Those low R0 values only apply in lockdown mode per Los Alamos. Absent that, it's 5.7 as listed in their pre print 👇 https://t.co/PybJOiZ5yM
El R0 del SARS-CoV-2 es de 5.7 (95% IC 3.8-8.9). Para que se “extinga” la enfermedad acorde a esta fórmula: 1 - 1/R0= se requiere que >82% de la población esté inmunizada por vacunación o infección para detener la transmisión. Enlace: https://t.co/p
@AndyD41186453 @paulfromhull @DHSCgovuk @CMO_England @PHE_uk @NHSEngland @scotgovhealth @CMOWales @PublicHealthW @healthdpt @publichealthni Ok, you do realise you are on a twitter page which when you feed our data set into gives an r0 of 5-7. Or how about
@razibkhan @SethS_D If the R0 is 5.7 (as credibly published), then >82% have to be infected, which is meaningless from a herd immunity perspective because then most have to be infected to prevent spread. However, it does give an idea of vaccine coverage
RT @ChristosArgyrop: @PAWellingMD LANL who are doing a much better job modeling this than many others, looked at Chinese data before the lo…
RT @Vadeboncoeur_Al: @Warchand La CDC suggère un CDC potentiel de 5.7. https://t.co/p4QWKhDtZ6
@KavinderMd @JoeR42 @Noahpinion This article estimates the R0 to be 5.7 https://t.co/vPxnkzvUwV
マジか😱
RT @chikawatanabe: Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome; estimated R0 =5.7 ロスアラモス国立研究…
@tqbf Dr. Feigl-Ding was absolutely correct to tweet "HOLY MOTHER OF GOD — the new coronavirus is a 3.8!!!" and the people who hounded him into deleting that were *wrong*. A more recent LANL study puts it at 5.7 (CI 3.8–8.9) https://t.co/ZMGcHf2uqZ
RT @ChristosArgyrop: @PAWellingMD LANL who are doing a much better job modeling this than many others, looked at Chinese data before the lo…
@PAWellingMD LANL who are doing a much better job modeling this than many others, looked at Chinese data before the lockdowns (R0 6-7) https://t.co/zulHMLslXW Similar to the "natural" history numbers in Europe https://t.co/MinPhs86Jd This is a solid
@remid0d0s0 @ghost_of_roger @ExcludedMuddle @trvrb @NYGovCuomo Well this pre-release US-CDC study estimated R0 as 👇median R0 is 5.7 (95% CI 3.8–8.9), based on data from China There will be other datasets/studies evaluating R0 estimates. RKI currently stil
RT @Sealdiver: Lots of talk about R0 "R naught" - reproduction number Some studies suggest #COVID19 R0 >3+ See > https://t.co/AEk4rs7D2u #…
High Contagiousness & Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7—July 2020 Emerging Infectious Diseases journal https://t.co/LDeVU9RrMW via @CDCgov
Lots of talk about R0 "R naught" - reproduction number Some studies suggest #COVID19 R0 >3+ See > https://t.co/AEk4rs7D2u #Testing & #ContactTracing good but trouble is #Covid_19 can be transmitted pre-symptomatically so see "Findings" here >
RT @CebraGraves: @Dierenbach @ScottGottliebMD Results of the antibody test announced by Cuomo today estimated NYC at 21.2%, not the 50% you…
@Dierenbach @ScottGottliebMD Results of the antibody test announced by Cuomo today estimated NYC at 21.2%, not the 50% you hypothesized. If R0 is 3, we’d need 70% of pop to reach herd immunity. If it is 5-6 as some researchers have suggested https://t.co/I
@Warchand La CDC suggère un CDC potentiel de 5.7. https://t.co/p4QWKhDtZ6
@B_Fett_up @NYGovCuomo R0 of 5.7 (CDC posted research) https://t.co/SHg26Mft6G
@awoffinden @GephenS @LuisVCg2 @AndyBiotech But if R0 is 5.7, then need about 80% https://t.co/QcCI9wOJCy
RT @vgaldana: Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7…
@mp3michael The R0 (reproduction rate - or what you refer to as "infection rate") is a moving target. CDC says the median baseline (i.e. no mitigation) is 5.7. That's really high. https://t.co/8SOHLgGi7L
@PoliticalAthei7 @E2jr1 @GovofCO Your graph doesn't correlate to the updated CDC graphs. https://t.co/u6UzQ6UYxv
Looks like latest research puts the figure for #COVID19's R0 value at 5.7?! That's double previous estimates. So for every case of Coronavirus roughly 5-6 people get infected. To compare, the 1918 pandemic had an R0 of less than 2.8... https://t.co/eZsPB
@HollyEllyatt “At R0 = 2.2, this threshold is only 55%. But at R0 = 5.7, this threshold rises to 82% (i.e., >82% of the population has to be immune” https://t.co/iAEtpdwhDH
Here’s a link to the latest CDC data, where R0 is the infectiousness: “At R0 = 2.2, this threshold is only 55%. But at R0 = 5.7, this threshold rises to 82% (i.e., >82% of the population has to be immune” https://t.co/iAEtpdwhDH Thanks! Hope you revi
@BrutalBrittany2 @lorenzocatering @EarthAngel4Love @mayoroflasvegas @CityOfLasVegas @GovSisolak Here is a report ( not cherrypicked like your previous example ) from the CDC. https://t.co/6JEIKINJIe This shows a higher R0 and also explains that this number
RT @chikawatanabe: Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome; estimated R0 =5.7 ロスアラモス国立研究…
RT @DrMooh_: @DrAbioye @aushamaki Considering a recent study that put covid-19 R0 at 5.7 (95%CI: 3.8, 8.9) against the initial R0 (2.2-2.7)…
@DrAbioye @aushamaki Considering a recent study that put covid-19 R0 at 5.7 (95%CI: 3.8, 8.9) against the initial R0 (2.2-2.7) reported by China, to achieve herd immunity, we would at least 80% of the population. (https://t.co/PbctT18yPr).
@TheLittlePebble @Conflits_FR L'étude pour les intéressés: https://t.co/i7gt9515Mb
RT @ZurakowskiLab: Solid modeling work from a group I respect is estimating R0 greater than 5, putting COVID19 in Polio territory. Yikes!…
RT @chicocvenancio: @statesdj https://t.co/vRzxh1y76K Is one source for the r0 quoted here.
RT @vgaldana: Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7…
RT @vgaldana: Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7…
Early Release - High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 - Volume 26, Number 7—July 2020 - Emerging Infectious Diseases journal - CDC https://t.co/k26bXRMEN6 vía @CDCgov
@tjbtorace @bayes_baes @raskolnehkov @CT_Bergstrom R0=5.7 => 82.5 % immune needed See "Implications for Intervention Strategies" https://t.co/uSP9LvQzPv
No one cares to understand. Fuck it, go ahead and open everything back up! I'm sure it will turn out just fine... https://t.co/r1rGMMyKBt
@az_reason @amymaxmen @V2019N OK, here you go, from the US CDC. https://t.co/r1rGMMyKBt Fucking read that. 5.7 R0.
@hootsmom @cabeaux @SethAbramson See https://t.co/tgKsVKZW1D for new r0 estimate.
@SethAbramson Using this resource: https://t.co/tgKsVKZW1D r0=5.7, incubation (serial) = 4 days. Those 19 people infect 3,714,305 people. If serial time is 6 days 19 cases become 114,322. Obviously, having access to 3 million people to infect is a question
RT @ZurakowskiLab: Solid modeling work from a group I respect is estimating R0 greater than 5, putting COVID19 in Polio territory. Yikes!…
@LarsWienand @Helmholtz_HZI Ebenfalls in dieser Richtung: Studie der amerikanischen CDC geht von einer Covid-19 R0 (Reproduktionsrate ohne Maßnahmen) von 5.7 (95% CI 3.8–8.9) aus. = Noch höherer Bevölkerungsanteil nötig für Herdenimmunität https://t.co/
#StayHomeSaveLives "We further show that active surveillance, contact tracing, quarantine, and early strong social distancing efforts are needed to stop transmission of the virus." https://t.co/UIut430R5X
Wertvolle Erkenntnisse in Studie des Los Alomos National Laboratory. Weil der inhärente #COVID19 -Anteckungskoeffizient R0 sehr hoch ist: ">82% der Bevölkerung müssen entweder durch Impfung oder vorherige Erkrankung immun sein, damit die Epidemie stopp
RT @ZurakowskiLab: Solid modeling work from a group I respect is estimating R0 greater than 5, putting COVID19 in Polio territory. Yikes!…
Solid modeling work from a group I respect is estimating R0 greater than 5, putting COVID19 in Polio territory. Yikes! https://t.co/9STAmq4DXK
@tjbtorace @bayes_baes @raskolnehkov @CT_Bergstrom I have a TV but I think I last watched somthing about 3 years ago 😂 👇 R0 assumed in vidéo 3👇 Flu:14 #SARSCoV2 59,049 R0 in this study https://t.co/uSP9LvQzPv Median R0 5.7 (95% CI 3.8–8.9) 10 layers 5.7
This is ... interesting. (by which I mean terrifying) https://t.co/8vuAucyvjP
コロナについて感染率↑致死率↓ということがわかってきた。西浦教授の数理モデルだと、基本再生産数R=2.5で計算しているんだけど4/7の研究だとR=5.7となっている。 https://t.co/iRavvszsDM これだと前提が変わってきて、ロックダウンやら自粛をしても感染を減少させられないのでは?
En esta fase tres debemos entender, por que la sana distancia es prioritaria, dado que el número de contagiados por persona con COVID-19 es 6, ello le confiere un rápido crecimiento en el número de casos #QuédateEnCasa #COVID19 : https://t.co/r0it4WmaEu
@RebCoPTrainee Reproduction number? https://t.co/6I52TBTjsD
@Lord_Palfrey Found it, R is. https://t.co/mw9QwjFXfH
RT @statesdj: @therear4lights Here is one article on estimating infectivity. It's worth noting that R0 is not an intrinsic property of the…
@therear4lights Here is one article on estimating infectivity. It's worth noting that R0 is not an intrinsic property of the virus but rather depends on the virus, the host population, environment and behavior https://t.co/ASf0mkefQF
RT @kmedved: @NateSilver538 @DanRosenheck Here's one from a few weeks ago calculating 5.7 for Wuhan: https://t.co/bGY9IrV0uc. I mostly don'…
@statesdj https://t.co/vRzxh1y76K Is one source for the r0 quoted here.
@JJD_Aqua @Gavin_Needham @NateSilver538 @DanRosenheck Yeah. Nate's tweeting out of his field. https://t.co/vRzxh1y76K
@StyxzFPL @ravengeary @NateSilver538 @DanRosenheck @statesdj https://t.co/vRzxh1y76K That's the main source for considering r0 of covid19 above 5. As far as I'm aware.
@OVilain @PENELOPPE192 @MrConnard70 et pr celle-ci compte tenu de son R0 à 5,7 (contagiosité très élevée) c'est le taux de 82 % qui a été calculé pour en voir le bout (cf doc ci dessous) et compte tenu de la très faible immunité constatée, on n'est pas sor
@NateSilver538 @DanRosenheck Here's one from a few weeks ago calculating 5.7 for Wuhan: https://t.co/bGY9IrV0uc. I mostly don't get results like that when calculating lagging-R via deaths however (closer to ~3 at the high end).