RT @jafetcares: Sra. Ministra @rosarioetm @MINSAPma es tiempo de disminuir requisitos de la prueba. Es la única manera de disminuir transmi…
RT @jafetcares: Sra. Ministra @rosarioetm @MINSAPma es tiempo de disminuir requisitos de la prueba. Es la única manera de disminuir transmi…
RT @kurimushi3: 3/n [4] 感染力は発症日またはそれ以前に最大になると推測。 スワブによるウイルス量と重症度には明らかな相関はなかった。 https://t.co/mHEZh72P52 [5] [4]の解説 https://t.co/TuYlEKPqZZ
RT @jafetcares: Sra. Ministra @rosarioetm @MINSAPma es tiempo de disminuir requisitos de la prueba. Es la única manera de disminuir transmi…
RT @jafetcares: Sra. Ministra @rosarioetm @MINSAPma es tiempo de disminuir requisitos de la prueba. Es la única manera de disminuir transmi…
Sra. Ministra @rosarioetm @MINSAPma es tiempo de disminuir requisitos de la prueba. Es la única manera de disminuir transmisión presintomática que han pasado por alto. Hay evidencia científica que, incontrovertiblemente, lo justifica https://t.co/LtCvfpow
Temporal dynamics in viral shedding and transmissibility of COVID-19 | Nature Medicine https://t.co/QfQcwy1A2B
Temporal dynamics in viral shedding and transmissibility of COVID-19 https://t.co/2zmVxUbmEc
RT @ETakaqu: 新型コロナ 発症前の感染力が強い 94人の研究所内感染者のウイルス排出の時間的パターン報告 発症前0.7日で感染力がピーク。発症前感染が44%。 https://t.co/E81VJwKTwJ https://t.co/8Erjd9mvrH
@greta Absolutely true. Here’s an article supporting this: https://t.co/HeY2mgf7wk
Temporal dynamics in viral shedding and transmissibility of COVID-19 [Apr 15, 2020] He et al. @NatureMedicine https://t.co/5BbCBwKcDY #2019nCoV #COVID19 #CCC19 HT @DrChoueiri https://t.co/9PfDJIt8f0
RT @ETakaqu: 新型コロナ 発症前の感染力が強い 94人の研究所内感染者のウイルス排出の時間的パターン報告 発症前0.7日で感染力がピーク。発症前感染が44%。 https://t.co/E81VJwKTwJ https://t.co/8Erjd9mvrH
RT @ETakaqu: 新型コロナ 発症前の感染力が強い 94人の研究所内感染者のウイルス排出の時間的パターン報告 発症前0.7日で感染力がピーク。発症前感染が44%。 https://t.co/E81VJwKTwJ https://t.co/8Erjd9mvrH
新型コロナ 発症前の感染力が強い 94人の研究所内感染者のウイルス排出の時間的パターン報告 発症前0.7日で感染力がピーク。発症前感染が44%。 https://t.co/E81VJwKTwJ https://t.co/8Erjd9mvrH
RT @orpheuseurydice: @normanswan Truly alarming. Amongst other alarming facts, the article states that over 40% of transmission occurs when…
RT @jafetcares: Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuye…
RT @jafetcares: Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuye…
Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuyen requisitos de la prueba para disminuir la transmisión presintomática que ocasiona entre el 24-69% de los casos secundarios, según h
RT @jafetcares: Para lograr que el Rt se mantenga menor a 1.0 es IMPERATIVO que @MINSAPma disminuya requisitos de la prueba para detener la…
RT @jafetcares: Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuye…
Para lograr que el Rt se mantenga menor a 1.0 es IMPERATIVO que @MINSAPma disminuya requisitos de la prueba para detener la transmisión presintomática que ocasiona entre el 24-69% de los casos, de acuerdo con estudio de @nature . https://t.co/LtCvfpowRU
RT @jafetcares: Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuye…
RT @jafetcares: Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuye…
3/n [4] 感染力は発症日またはそれ以前に最大になると推測。 スワブによるウイルス量と重症度には明らかな相関はなかった。 https://t.co/mHEZh72P52 [5] [4]の解説 https://t.co/TuYlEKPqZZ
Esta información evidencia que @MINSAPma debe disminuir la tasa diaria de casos nuevos. Esto lo lograríamos si se disminuyen requisitos de la prueba para disminuir la transmisión presintomática que ocasiona entre el 24-69% de los casos secundarios, según h
@Barry_Hunt1 @bernicarey How about a thread of science from an Oxford professor? https://t.co/E6CaszLVst
@huima Olen itse hieman skeptinen tälle tulokselle. Ensinnäkin, paperissakin tuotiin esiin, että lead time sairaalaan oli 3 pv. Aiemmin tutkittu, että virusta erittyy oireiden aikoihin -2 -- +joitakin päiviä. https://t.co/S6CzBYS2re
@drnickeasom @tomayates @dr_michaelmarks @BallouxFrancois @DrNeilStone @mnoursad @mugecevik @Thushan_deSilva @onisillos @LucyCKBell @bealelab Here's the Singapore data. Fig 1c middle panel is the estimated infectious period. Looks pretty low after 7 days,
RT @AaronRichterman: A3: Transmissions >5 days after symptom onset are rare if they occur at all https://t.co/6Hgm5ejZBu https://t.co/ktefN…
RT @PetrilliMD: @Bob_Wachter @ScottGottliebMD No longer infectious >8 days after the first positive test... #FurtherStudyWarranted :-) htt…
RT @trishgreenhalgh: 15/ Objection 13: You only need to cover your face if you're coughing and sneezing. Rebuttal 13: Between 23% & 62% of…
RT @iina_kobe: Temporal dynamics in viral shedding and transmissibility of COVID-19 | Nature Medicine この論文、4月のやつだよ。まだ読んでない人とかいるのか。。。 https:…
RT @dormir300: 普通の医者でむしろ読んでいる人のほうが少なさそう…。良い論文なんだけどもなぁ。
@Bob_Wachter @ScottGottliebMD No longer infectious >8 days after the first positive test... #FurtherStudyWarranted :-) https://t.co/3Yo5TJQ4ae
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
RT @iina_kobe: Temporal dynamics in viral shedding and transmissibility of COVID-19 | Nature Medicine この論文、4月のやつだよ。まだ読んでない人とかいるのか。。。 https:…
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
RT @orpheuseurydice: @normanswan Truly alarming. Amongst other alarming facts, the article states that over 40% of transmission occurs when…
RT @iina_kobe: Temporal dynamics in viral shedding and transmissibility of COVID-19 | Nature Medicine この論文、4月のやつだよ。まだ読んでない人とかいるのか。。。 https:…
RT @dormir300: 普通の医者でむしろ読んでいる人のほうが少なさそう…。良い論文なんだけどもなぁ。
RT @iina_kobe: Temporal dynamics in viral shedding and transmissibility of COVID-19 | Nature Medicine この論文、4月のやつだよ。まだ読んでない人とかいるのか。。。 https:…
RT @dormir300: 普通の医者でむしろ読んでいる人のほうが少なさそう…。良い論文なんだけどもなぁ。
普通の医者でむしろ読んでいる人のほうが少なさそう…。良い論文なんだけどもなぁ。
Temporal dynamics in viral shedding and transmissibility of COVID-19 | Nature Medicine この論文、4月のやつだよ。まだ読んでない人とかいるのか。。。 https://t.co/AiXolStmMt
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @uhoelzle: This paper suggests that roughly half of infections stem from presymptomatic carriers. Thus, mask wearing in public should be…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
コロナ感染力についてhttps://t.co/QxCNq9OToI
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
Whatever the rate is, whether 12.6% or 46%, the fact that pre-symptomatic community transmission of the virus is very much possible should alarm the govt. and compel it to do mass testing quite randomly.
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @iina_kobe: @teyuka_med この論文はたまたま唾液と鼻咽頭スワブとの関連を示したものですが、そこは本題ではありません。 そもそも、RTPCR検査自体の精度が70%程度なら、このような「いつウイルス量が多いか?」などの実験が成立しないことはおわかりでしょ…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
@zack488 @nacholeber I prefer to follow the peer-reviewed transmission data. Transmissibility only both proximal symptomatic and asymptomatic individuals is repeatedly shown via droplets, aerosols, and fomites. https://t.co/Rrxy0DZqMS https://t.co/1TJk6
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
@teyuka_med この論文はたまたま唾液と鼻咽頭スワブとの関連を示したものですが、そこは本題ではありません。 そもそも、RTPCR検査自体の精度が70%程度なら、このような「いつウイルス量が多いか?」などの実験が成立しないことはおわかりでしょうか? https://t.co/AiXolStmMt
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
RT @josh_danac: This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co…
This figure of 12.6% comes from one epid study in China (https://t.co/G0FzSq23sr). A modeling study in Nature (https://t.co/I0nnQYQWZo) estimates 44% presymptomatic transmission.
@ottartwain @pwareham @12FreeBeer @nataliexdean @benbenchia No, actually, presymptomatics appear to be responsible for about half of all transmission. Viral load decreases after the day symptoms appear. This paper estimates presymptomatics cause 44% of al
RT @orpheuseurydice: @normanswan Truly alarming. Amongst other alarming facts, the article states that over 40% of transmission occurs when…
RT @orpheuseurydice: @normanswan Truly alarming. Amongst other alarming facts, the article states that over 40% of transmission occurs when…
@luckychan Excellent compilation Leslie. Let me add this from Nature on an estimated 44% pre or asymptomatic transmission. Better check @SecDuque or his advisers for foot in mouth disease... https://t.co/O7UNPz1iqt
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
@TRexOwner @oenophil15 @MilliiMalone @lincolnrogers @reviewjournal @edgraney @GovSisolak @LVMPD Here are several peer reviewed studies I invite you to peruse: https://t.co/bbaco6pRPD https://t.co/w8dW2GufqV https://t.co/qbrJMU0EXD
RT @trvrb: Similarly, He et al (https://t.co/WQi8tAnAq1) estimate 44% (95% confidence interval from 25% to 69%) of transmission events occu…
@R4jpH @DrEmmaFrans Yeah, there was a publication in Nature: https://t.co/ggWl6b0tHj and in Science magazine (Fig 2👇) https://t.co/EfoEfjfzOj but don't worry, it doesn't apply in Sweden - we have a different virus here. https://t.co/PQMigpUfIw
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
RT @yuukim: こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
@burcutepekule Aslında serial interval için kastettiğim semptom gösteren bir kişi ile yavrularının semptom göstermesi arasındaki gün farkının dağılımı. Bu makalede https://t.co/yl5fe8iIIa dağılımda negatif değerlerde çıkabiliyor. SEIR modelden Türkiye için
@HelenRSalisbury have you seen this paper from Nature? v helpful for giving a framework to start from ... https://t.co/8GgMYsHb6y
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
こっちは中国からの報告で、2次感染の分析、感染者のウイルス量の経時的な測定から、発症前後に感染力≒ウイルス排出量がピークと想定されている。 https://t.co/Yfxm3g5TEK
RT @trishgreenhalgh: 15/ Objection 13: You only need to cover your face if you're coughing and sneezing. Rebuttal 13: Between 23% & 62% of…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @trishgreenhalgh: 15/ Objection 13: You only need to cover your face if you're coughing and sneezing. Rebuttal 13: Between 23% & 62% of…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @orpheuseurydice: @normanswan Truly alarming. Amongst other alarming facts, the article states that over 40% of transmission occurs when…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @eflegara: Let's not muddle the issue with semantics, please. For people who are more critical of mass testing, here's a list of reading…
RT @aoistayhome: 山中伸弥教授 「ウイルスの消失までには症状の軽重に関わらず4週間程度かかるという論文がある。経過観察の期間は、2週間では不十分と思われる」 https://t.co/njjDzVydbM 論文 https://t.co/yZ7ZV06LT…