@PoohBear71 @Occams_Razor_CA @JoniWagner @ryangerritsen Maybe because 70 to 90% of people who cried from Covid’s died within 30 days (28 to 30)…do imagine what the death toll would be if they counted those who died > 30 days and were not included in th…
@1MikeFairclough @SorchaEastwood You need to look at who was infected, and who died. And that number is 6%. COVID-19 was at 3,000 per 100,000 people (3%) [1a] and is currently at 6,000 in 100,000 people [1b] which is 6%. [1a] https://t.co/tDYhalq3Az […
@Rockyuphill @TRyanGregory How often do you play Russian Roulette? Somehow you are willing to play with mask/no mask, but not with a revolver and a bullet in the chamber. [1a] https://t.co/tDYhalq3Az [1b] https://t.co/rU3RjkYrsk
@deonandan And that number is 6%. COVID-19 was at 3,000 per 100,000 people (3%) [1a] and is currently at 6,000 in 100,000 people [1b] which is 6%. [1a] https://t.co/tDYhalq3Az [1b] https://t.co/rU3RjkYrsk
@jskst27 @TODAYshow @ashishkjha @FDA @cdc @moderna_tx And that number is 6%. COVID-19 was at 3,000 per 100,000 people (3%) [1a] and is currently at 6,000 in 100,000 people [1b] which is 6%. [1a] https://t.co/tDYhalqBq7 [1b] https://t.co/rU3RjkYZhS #M…
@footballforfans @StanJones31 @benonwine June 2020 CFR was estimated between 0.25% and 3%. In this scenario most governments would be cautious and work to the higher figure. https://t.co/vSWzc9IKme
@nuanceiskey @KempoJesse You need to look at who was infected, and who died. And that number is 6%. COVID-19 was at 3,000 per 100,000 people (3%) [1a] and is currently at 6,000 in 100,000 people [1b] which is 6%. [1a] https://t.co/tDYhalHEs7 [1b] http…
RT @miakiza20100906: マイケル・ベイカー教授（Michael G. Baker）が参加している新型コロナ関連論文の例： ・致命リスクの推定 Emerging Infectious Diseases 誌 https://t.co/FxHymAEVbn ・NZ…
RT @miakiza20100906: マイケル・ベイカー教授（Michael G. Baker）が参加している新型コロナ関連論文の例： ・致命リスクの推定 Emerging Infectious Diseases 誌 https://t.co/FxHymAEVbn ・NZ…
RT @miakiza20100906: マイケル・ベイカー教授（Michael G. Baker）が参加している新型コロナ関連論文の例： ・致命リスクの推定 Emerging Infectious Diseases 誌 https://t.co/FxHymAEVbn ・NZ…
RT @miakiza20100906: マイケル・ベイカー教授（Michael G. Baker）が参加している新型コロナ関連論文の例： ・致命リスクの推定 Emerging Infectious Diseases 誌 https://t.co/FxHymAEVbn ・NZ…
RT @miakiza20100906: マイケル・ベイカー教授（Michael G. Baker）が参加している新型コロナ関連論文の例： ・致命リスクの推定 Emerging Infectious Diseases 誌 https://t.co/FxHymAEVbn ・NZ…
@Willshire6 @Carl31508201 @JuliaHadley15 It's still incorrect. You'll note the percent vaccinated with one dose is not linear & was only 10% one month ago. Median onset to death is 7 days https://t.co/pz8UlbR7g4).
@GuyWestcott @ReillyCusick It is the lower end of the CDC estimates, I'll grant you. https://t.co/7RWiw0OgyN
このデータを計算するにあたって，死亡者数を13日前の陽性判明者数で割っているのだけど，その根拠は， https://t.co/06LXaF23Fw このサイトを参考にしている．データ上も，13日くらいで両対数グラフの直線性が良くなっているので，悪くない見積もりなのだろうと思う．
@rdmorris @MichaelTanuvasa It's really not. Most of those who are dying now were likely infected under Biden. Biden's policies are not aimed at reducing infections. https://t.co/ZGJeBGBzeY https://t.co/bmq9N20RqI
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
@leannemac4 @DrTomFrieden "a median of 13 days passed from pneumonia confirmation to death ([11–5] + 7 = 13)." Time lags will show that increased cases lead to increased deaths. https://t.co/sbnwN6g6b2
@MarshalTheWill1 @ClarkeMicah @DPJHodges And some more https://t.co/4s2bAjOSGH
@XianJaneway "a median of 13 days passed from pneumonia confirmation to death" https://t.co/XxR2YxhO7C
@OndrejHousar @Erbureth @MirekTopolanek @JardaEfko Je na to nejaky zdroj? Ja nasel median od priznaku do smrti 18 dni, s tim ze priznaky taky nejsou hned po nakazeni, uvadi se 2 az 12 dni https://t.co/qKC0zlmlBJ
@realDonaldTrump Give it time. https://t.co/tfXE03Ed1z
@TomiLahren @realDonaldTrump Five days in. No cure. https://t.co/tfXE03Ed1z
@ProjectLincoln Five days in https://t.co/tfXE03Ed1z
@kayleighmcenany @realDonaldTrump Five days in.@struggling to breathe with early pneumonia and a tight girdle. https://t.co/tfXE03Ed1z
@Acyn Tight girdle and early bronchitis. https://t.co/tfXE03Ed1z
@RepMattGaetz Five days down. Nine days to go. https://t.co/tfXE03Ed1z
@COangiepangie @TheEliKlein @EricTopol @PeterHotez Re: "Says the art dealer to the MD 🤣 laughing hospitalizations are a lagging indicator. But the time we see a rise there, we’re already screwed." I've dealt with the "art dealer" before. He basically wi…
@StalterRodego @TheRealMrC5 @satchyboy @AnnastaciaMP Then it's Fox News reporting of covid data that is at fault. The abstract from a CDC report suggests an overall case-fatality rate of 0.25%-3.0%. https://t.co/JaJaLgqhHM #Covid19 #Auspol #Covid19Aus
@ziggyfleckner @LasseSkou @Camilla95959736 Man regner med ca. 14 dage fra infektion til symptomer. Og en median på yderligere 13 dage før død. https://t.co/8dptty2LRO
21/ ....(It takes an average of around two or three weeks for someone to die of Covid-19, so people who caught it later will generally not appear in June’s death figures.) This would mean it had infected 79% of the total population of England. https://t.c…
RT @PetrSimecek: @ZvedavyChlapec @MasarikMartin @ChytraKarantena Máte skvělé otázky! Škoda že takové neklade vláda. Průměr od projevení sym…
@ZvedavyChlapec @MasarikMartin @ChytraKarantena Máte skvělé otázky! Škoda že takové neklade vláda. Průměr od projevení symptomů do potřeby JIP je 11 dní a od JIP do smrti dalších 7 (https://t.co/2S0Awk7MtI).
@Lmac921 @AlexS1595 @realalanbristow @RealDeniseWelch This is US research, but it found an average time from symptom onset to ITU admission of 11 days, and an average time from ITU to death of 7 days. https://t.co/7YnMOVjRYT
@iluminoli @7NewsMelbourne @cassiezervos here i googled it for you and heres a nice picture too https://t.co/u2YSHoliBH https://t.co/RyLJaLmLaF
@V2ptTWZK05xInNr @mph_for_doctors 3-5%は2月の古い値ということなのですかね。7月末の3.2%くらいから今1.9%下がり続けているようですね。 https://t.co/gIiJxqf0tO 記事中のインフルエンザの感染経路は飛沫だけになったのでしょうか。 斬鉄剣T細胞ってかっこいいですね。…
@j_sato @cationxe @kutsunasatoshi @takainou_0907 元の論文では2月下旬時点のデータからの推計で、中国のCFR3.5%、湖北省以外0.8%、82の国と地域が4.2%、クルーズ船が0.6%です。その上で湖北省以外のCFR0.8%が正確かもしれないという考察でした。病院や集中治療などの医療…
Re: "Unfortunately, SARS-CoV-2 re-emerged in portions of eastern / central Europe" COVID-19 deaths should lag cases by at least around a couple of weeks: https://t.co/HRQZ7cHLm6 https://t.co/xlQZwVRIiN https://t.co/9ZwLtRocB8 COVID-19 deaths per day …
20/H Risch makes a similar claim for Switzerland. Again: correlation =/= causation; his causal claim failed in controlled settings. Also, symptoms-to-death is closer to 2 - 3 weeks: https://t.co/HRQZ7cHLm6 https://t.co/xlQZwVRIiN https://t.co/9ZwLtRoc…
@Dan77808045 @pamelasm @ochealth A median of 13 days from illness onset to death (https://t.co/f46DCbxs9p) A median of 5 days from exposure to symptoms (https://t.co/XAYzgigrOj) so maybe 18 days is a better estimate.
Case-Fatality Risk Estimates for COVID-19 Calculated by Using a Lag Time for Fatality - Volume 26, Number 6—June 2020 - Emerging Infectious Diseases journal - CDC https://t.co/j3AAUxVVNz via @CDCgov
@cabbobby @JoeNBC Re: "In Italy over half the population tests positive but nobody is dying from it anymore" 🤦♂️Italy hasn't crossed the herd immunity threshold. And deaths lags cases by weeks. Again, that's basic biology. https://t.co/t5sNs6DveN htt…
RT @AtomsksSanakan: @JSegor Re: "deaths still" Its begun. https://t.co/TzJk3XkkTA https://t.co/lExkeL4DXH As u know, deaths lag cases by…
@JSegor Re: "deaths still" Its begun. https://t.co/TzJk3XkkTA https://t.co/lExkeL4DXH As u know, deaths lag cases by weeks: https://t.co/HRQZ7cHLm6 https://t.co/xlQZwVRIiN Cases/day up since ~June 15: https://t.co/XxqBoPHgVp Deaths/day up since ~Ju…
@Y_Soup @stujohnsen There was a CDC article that showed about an 18 day lag. Either way, it’s not 0, that’s for sure. CDC article link: https://t.co/lYSbvKiKM6
@_TheAncientOne_ @QTRResearch CDC doesn't back your assertion, fwiw. Median is 13 days, and 7-10 in the icu. https://t.co/hoyeYOP647
@PastorJeebs @edge2alpha @emm_downunder https://t.co/H2XbiNJ8zw Here it is from the CDC . https://t.co/cHbnamagve
@RFscai @gummibear737 @EthicalSkeptic These are symptomatic CFRs not IFRs https://t.co/L2qY9gQ8AE
@CEGOCGA @jfernandez_wa @milkncooks @T_Inglesby Oh yeah, ofc the big bad WHO, How about the CDC ? "from symptom onset to intensive care unit (ICU) admission was 11 days; and from ICU admission to death was 7 days. " So 11 + 7, how much is that ? https:/…
@kimbal There is a 13 day average from pneumonia confirmation to death, and several more days before pneumonia confirmation so that graph will look very different in a few weeks time with the hospitals beyond capacity. https://t.co/F9MOgbJPbT
@Kintinue @ownlyjoeking Here's some data to go with it: - Influenza 2017-18 (severe season): https://t.co/Pai6P4qAKY - COVID-19: https://t.co/Mj6SU3DJps OR https://t.co/kHVmttVOAS
@UnintendedCons5 @DrTomFrieden @NoahShachtman the median time to death is 13 days according to https://t.co/4tVwCH30Qm
https://t.co/LTxf6w72lV IFR at .26% and probably lower. India is starving, dictators have been empowered, democracy is further weakened and many of the churches, the first day assemblies instituted by Jesus are not meeting. The cure is indeed far worse …
@LoneStar025 @ICantEven2021 @abledoc @EricTopol I am pessimistic: median time from symptom onset to death is 18 days according to https://t.co/lP4UDE1IjW The shorter looking delay in the early phases could be attributed to lack of testing early in March…
@AlexHunt5150 @CathyA19 @Klb0415 @charleshawa @ausgov Here is the paper by the NZ researchers I mentioned Wilson N, Kvalsvig A, Barnard L, Baker MG. Case-Fatality Risk Estimates for COVID-19 Calculated by Using a Lag Time for Fatality. Emerg Infect Dis…
@plenque @QuikFCO Acá los links si te interesan. El paper es densisimo. https://t.co/j4n9ZiaEJM https://t.co/JSEhWDyd4A
@aliendemartes1 @Lentejon @CHVNoticias Y te invito a ver los de la CDC donde se confirma mortalidad entre 0,2 y 0,3 GLOBAL! https://t.co/eAYkptggli
@24HorasTVN La gran estafa: Los asintomáticos no contagian https://t.co/ZlHkJjE2B2 Y la tasa de mortalidad global es menos de 0,3% https://t.co/eAYkptggli Chile, a despertar del show.
@felipiiin Es el gran show, los asintomaticos no contagian, https://t.co/OQPb1DAmv1 ! y la tasa mortalidad global es menos de 0,3% ! https://t.co/eAYkptggli Wake up brother.
@PaoloSantoro @CHVNoticias Claro, pero nadie ha confirmado que contagian. Nadie, no existe estudio de esto. Además te copio el link de la CDC donde indican la fatalidad del Covid en el mundo es menos de 0,3% https://t.co/eAYkptggli
@panchocinepata @CHVNoticias Aca el estudio de CDC de la mortalidad. https://t.co/eAYkptggli Verás, Chile debe ser de los pocos países que aun creen en el #CoronaFake !
Y acá el estudio global del CDC https://t.co/eAYkptggli
@juanseapi en todo caso, te faltó el Pcrit. El .025% - 3% sale de este paper en que sólo consideran PCR positivas. https://t.co/19QFfoJ7lm No niego que es harto, en ES sólo el 5% de la pobl. estaría inmune, pero que otra opción hay?
@Fantomas236 This one? https://t.co/tznOE8BbWx What the article actually says... "Lower estimates might be closest to the true value, but a broad range of 0.25%–3.0% probably should be considered." This article is 2 months old.
Core Pubmed: Case-Fatality Risk Estimates for COVID-19 Calculated by Using a Lag Time for Fatality.: Related Articles Case-Fatality Risk Estimates for COVID-19 Calculated by Using a Lag Time for Fatality. Emerg Infect… https://t.co/qKn1yzKAxU #coronaviru…
@GoshFaceKillah @NateGearyWGR that is the example for measles. the reason they don't have it for developed countries is because the measles vaccine as pretty much eradicated it COVID's is in the same range https://t.co/hcZHU1Evrz
@tomisine101 @thehill "Our approach is broadly comparable to a study that used earlier data to estimate the median time delay of 13 days from illness onset to death" https://t.co/qY5WzTmuMf
@bongopondit This was another paper I had tweeted, published in EID. https://t.co/OXdZK0VRV9
@KyllaPlayz1 @JorgeGasparA @pexcelll @user_fres @freakfox5 @PoorlyAgedStuff https://t.co/XS7cW7xxJv https://t.co/8oN73mVFqc Read some studies. If statistics were that easy we wouldn't need scientists at all.
Early Release - Case-Fatality Risk Estimates for COVID-19 Calculated by Using a Lag Time for Fatality - Volume 26, Number 6—June 2020 - Emerging Infectious Diseases journal - CDC https://t.co/i66bgkGoWG via @CDCgov
@berman_allen @kixes Don’t forget time lag: https://t.co/uO48FxCCs2 “median time from symptom onset to ICU admission was 11 days...and from ICU admission to death was 7 days” You need to shift case counts by ~18 days. Deaths until today reflect outcome…
The nail in the "home isolation coffin" CDC >June of 2020< We estimated the case-fatality risk for 2019 novel coronavirus disease cases in China (3.5%). Lower estimates might be closest to the true value range of 0.25%–3.0% probably should be cons…
Altmetrics Article has an altmetric score of > 666 < News (28) Blogs (4) Policy documents (1) Twitter (1128) Reddit (1) Click a source for Altmetric details What is the Altmetric Attention Score? The Altmetric Attention Score for research output…
@JamesFLoveIV # of cases are way underreported. One study recently published by the CDC estimated an overall case fatality rate for COVID-19 of between 0.25% and 3.0%, with the upper range likely to be found in situations where hospital and ICU are “cons…
@emrjackson @ai6yrham https://t.co/PMLS5VG2ai one of many.
@altNOAA @gmhendershot Here : https://t.co/yLckvemzfm 0.25- 0.3 % .
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
@brithume Data indicates deaths peaking in New York on April 21 and in the U.S. on April 17. This is assuming the average lag between a confirmed case and death is 13 days. New data bolsters this conclusion from the March 13 study published on the CDC s…
@thevivafrei @scrowder The CDC claimed we should be ready for a fatality rate as high as 3%. https://t.co/T7kzfrJYR3
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
Si el 28 de marzo había 26,519 casos estimados, cuántos fallecimientos deberíamos ver producto de esos casos? Entre 66 y 796. Usando el rango de 0.25%-3% publicado en https://t.co/QYrn9dVYWA Así que por lo menos los lamentables 174 están en rango. htt…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…
RT @davidasinclair: Blood, HbA1c, and chloroquine https://t.co/Bpac6gcR4W CoV2 mutations https://t.co/a7DZHUhs0E Symptoms https://t.co/c5M…