@marco36417902 @gianni_drudi @ott0disk @SimoBenedettini Le cazzate si fanno e si faranno sempre, è stupido impuntarsi su di loro e non guardare al totale ed al contesto. Immuni era un cazzo di gioiello software. Da premio. Doveva essere usata da molti per
@AskDawnGribble @RishiSunak 'The epidemiological impact of the NHS COVID-19 app' https://t.co/9jjSqFUThR
@amusedto @OfficialAdamWP @cowanandrew1 @JonJonesSnr It's amazing that google is free, but you jizzmops refuse to use it. Most of the test and trace money went on actual tests, which work, and the app did work. 'The epidemiological impact of the NHS COVI
英国での接触者確認即時通知アプリ、NHSアプリが防疫に効果あったとの論文
@IgorBrigadir @statsepi There was some merit in it - and actually potential to learn for future implementations and experiments. For what Turing did (thanks to Mark Briers for discussion at the time,) see https://t.co/SZYX4VtPdT
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
@michaelfolkson @edarna @SkyNews @JAHeale Most of the test and trace money went on actual tests, which worked, a small amount went on the app which saved lives. Why post this shite? 'The epidemiological impact of the NHS COVID-19 app' https://t.co/9jjSq
@seidenzahn @coronawarnapp Hier, bitte: https://t.co/psi17VrFve
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
@AnotherIanBrown @NHSCOVID19app @NatureComms Thank you! We didn’t look at deprivation in this paper but covered it a bit in this previous one https://t.co/ThK4hemBCF We unfortunately don’t have any data about the users so deprivation and any similar charac
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
@BardneyBoy @gwdsomers Not all agree. This more in depth, and more recent, research is, unlike the rather general BMJ article, specifically about the app (the subject of this thread between us). https://t.co/f2gQvikWjd
@casertron3000 There’s some evidence that the app cut deaths https://t.co/puBU11VGKU
@PhilMcDuff Ypu mean the 'community health care' that citizens in China protested about? Didn't Covid app technology tip into oppressive, Orwellian surveillance? Apps in Europe, including the UK, were less effective; but not ineffective. The UK one saved m
@shinyandnew70 A study published in Nature estimated that up to ~9,000 deaths were averted by the app. https://t.co/f2gQvikWjd
@cjsnowdon The estimate of a study in the scientific journal Nature is that the app alone saved up to ~9,000 lives. https://t.co/f2gQvikWjd
@chuck_stones @woolers1972 @0rganicRS @adamroedev @InsidiousJ @SkyNewsBreak "The app never materialised". Science journal Nature estimated it averted the deaths iof up to ~ 9,000 people. https://t.co/f2gQvikotF
@ewo_media @ElliottKenthe @Wicket_Weir @JolyonMaugham @Gabriel_Pogrund Thdle app had success: ~5,000 to ~9,000 deaths averted according to Nature. https://t.co/f2gQvikotF
@Karl_Heisenburg @satisfymysoul93 @BMG_Bund @coronawarnapp Hast du Belege zu dieser Aussage? Ich habe nämlich Belege, die dieser Aussage widersprechen: 1) https://t.co/tNH63y9d6H 2) https://t.co/yE32I5VPfe 3) https://t.co/psi17VsdkM
https://t.co/6H1xYmSPGu 英国の接触確認アプリの統計データhttps://t.co/4E4U9jq3xL には陽性検査結果の登録者数はあるが登録後接触キー提供への同意数はない。接触キー提供同意者数を公表しこれをベースに陽性登録率を求める日本やドイツとの比較時は要注意。接触キー提供率は下図の青線の7掛け位か https://t.co/d494Epb5kg
https://t.co/9YjzzTaeqj アプリから陽性検査結果を報告した英国の接触確認アプリユーザーの接触キー提供（=接触相手への接触通知送信）同意率に関し、2020年11月（アプリの更新により接触通知の送信基準が緩和された）から同年12月末までについては72%という論文報告がある。https://t.co/84QPwCT6qY
@tina_eager @BHilleard @TymVirginia The part where you didn't offer any evidence and the part where you thought Test & Trace was called Track and Trace. BTW, Nature published a research article that estimated that the NHS Test and Trace app had averte
@Sinnia19 @welt Es gibt auch andere wissenschaftliche Auswertungen dazu, z.B. https://t.co/psi17VJgmM & https://t.co/yE32I6cShe
@andrewstephen5 Abandoned? It was not. Remember the pingdemic? What was that if not the app? As for the app not working, an article in Nature concluded it had averted 4,000 to 9,000 deaths. https://t.co/DUIliz6ZOY.
https://t.co/hscQ63zIcI 人口中のアプリ継続使用者の割合 (uptake)が陽性確認者中のアプリユーザーの割合と等しいと仮定すると、アプリから陽性検査結果を登録した人の接触キー提供同意率が72%なら2020年10-12月の英国での陽性登録率=陽性確認者に占める接触キー提供者の割合は28%x0.72=20.2%。
Fraser論文https://t.co/84QPwCT6qY によれば、2020年10-12月の人口中のアプリ継続使用者の割合 (uptake)は平均28% (イングランドとウェールズを合わせた平均だが、人口比からイングランド単独の値もこれと大差なさそう)。グラフに表示した2020年10-12月の陽性確認者中のアプリユーザーの割合も30%程度 https://t.co/EF9B1pOu0i
https://t.co/XyVXCCh65p Fraser論文https://t.co/84QPwCT6qY によると、英国の接触確認アプリユーザーで陽性検査結果を登録した人の接触キー提供同意率は72%だった(おそらくPhase 2=2020年11月上旬に接触通知の送信基準を緩和した修正版アプリが公開されてから同じ年の12月末までの数字)
英国の接触確認アプリNHS COVID-19（2020年9月24日運用開始）を構想したオックスフォード大Fraser教授のグループがアプリによる感染・死亡回避効果を検証した論文https://t.co/84QPwCT6qY では、人口に占めるアプリ継続使用者の割合(uptake)が15%を割るとアプリ使用の利益がなくなると推計
@stefanolix @tlnue Und hier noch ein Paper, das die Englische App analysiert: https://t.co/psi17VrFve
@IanFYoung07 @tapas321 @Peston A study in Nature concluded that the app had averted 4,200 to 8,700 deaths. Given that the app cost £35 million to develop (source: National Audit Office), a £4,000 cost per life saved sounds good to me. https://t.co/f2gQvikW
@PokeyArcticCirc @tom_zeh Ein Paper aus England kommt da zu einem anderen Fazit: https://t.co/psi17VsdkM
@guyduchene4 Er is besloten om in Coronalert om zo weinig mogelijk info te verzamelen. Dat maakt studie van effectiviteit naar beperken aantal infecties moeilijk. In de UK heeft men op basis van meer gegevens wel een analyse: https://t.co/aPjiQbK3vv Zo ka
@bo_wom @mrsDugskullery No it didn't. The app saves 4200-8700 lives in its first three months alone, you melt. https://t.co/9jjSqGbWjR
@JoeNockles It does mean the latter, but posts like this pretend it was just the app. And also ignore the positive impact of the app. https://t.co/9jjSqGbWjR
"an app that never really worked" is a lie. https://t.co/9jjSqGbWjR
@mrsDugskullery "We'd still have change from the amount we gave Dido Harding for an app that never really worked !" Most of the test and trace money went on actual tests, which work, and the app did work. Why post this shite? https://t.co/9jjSqGbWjR
https://t.co/EaUzua3qUh Fraser論文https://t.co/84QPwCT6qY は人口中のアプリ継続使用者の割合 (uptake)と陽性登録率の関係を検討していないが、2020年10-12月の両者の値を照合するとさして違わない。日本のCOCOAの陽性登録率は最大24.4%（2022.7.9-15）、uptakeも一時はこの程度あったのではないか https://t.co/UmshTmHkjp
Fraser論文https://t.co/84QPwCT6qY の英国の接触確認アプリはイングランドとウェールズで使用、2020年10-12月の人口中のアプリ継続使用者の割合 (uptake)は平均28% (25%分位24.2%; 75%分位32.4%; 90%分位35.9%)。「uptakeが15%未満は効果なし」は自治体別の人口あたり感染者数とuptakeの関係から導出
オックスフォード大Fraser教授のグループの論文（2021年5月12日公表。英国の接触確認アプリを構想した研究者による効果検証。2020年10-12月のデータを解析）https://t.co/84QPwCT6qY では人口中のアプリ継続使用者の割合（uptake）が15%を割るとアプリ使用の利益（感染拡大阻止効果）がなくなると想定
@edelnougat @BMG_Bund @coronawarnapp Ok, verstehe ich. Es gibt z.B. dieses Paper https://t.co/psi17VsdkM (Artikel der BBC dazu: https://t.co/mbVHJBK0mc). Aus Deutschland gibt es noch nichts, aber auf internationaler Ebene einiges.
@SimonCW6788 @DamianClough2 @jasonwCreative @JaroslavH @GoodLawProject Tracing was disappointing but not hopeless. Peer-reviewed research showed that the app - one element of contact tracing - saved many lives. (The testing part of it, which you seem no
@vennwood @Red65Dave @BillyMa11908355 @LanceForman @x_J_E_M_x Which part of the methodology or conclusions do you question? What are your qualifications for questioning them? https://t.co/f2gQvikWjd
@Nicovel0 "Haha" https://t.co/9jjSqFUlsj
RT @piombo: @BernieG95778509 @indyrikki Bullshit on many levels, not least that NHS track and trace did work, demonstrably saving thousands…
RT @piombo: @BernieG95778509 @indyrikki Bullshit on many levels, not least that NHS track and trace did work, demonstrably saving thousands…
@BernieG95778509 @indyrikki Bullshit on many levels, not least that NHS track and trace did work, demonstrably saving thousands of lives. https://t.co/yetwuTVbQM
@nerdfunk @joergi_77 @coronawarnapp Andere Studien, andere Ergebnisse: https://t.co/psi17VrFve
@tluzat @coronawarnapp Wissenschaftliche Auswertungen zur #CWA findest du hier: https://t.co/PUsilC1Vrq Außerdem gibt es dieses Paper: https://t.co/psi17VrFve
英国で、このシミュレーションから、効果検証の論文まで関わり、21世紀の感染症対策におけるアプリの方向性を築いたとも言えるChristophe Fraser氏。 感染症との戦いの歴史がまた一歩進むのを論文を通じて、一部触れる事が出来た気がする。 https://t.co/iqWjbWrvMa
@JZiehmann @coronawarnapp @rki_de @BMG_Bund @Karl_Lauterbach @mikrowie @bzga_de Und hier gibt es ein Paper, was den Nutzen der Englischen #CWA unterstreicht: https://t.co/psi17VrFve
@StefanoBerto83 @michele_spo @GandalfGrigioOf @539th Pardon my french, balle! Con affetto! Nulla di personale ma mi sono stufata di sentir dire che il tracing era impossibile quando e' stato evidentemente boicottato senza addurre motivazioni plausibili.
The NHS app put together an elaborate, parallel, centralized system for assessment, which is why they are the only ones with quality pubs so far https://t.co/a8M3GErEus. But Apple's decisions blocked eg real-time data on the infectiousness window of each n
@Blacklist201 @LottaViehler @coronawarnapp @TwitterDE Es gibt diese interessante Studie:https://t.co/psi17VrFve Auch wird die #CWA natürlich durch eine wissenschaftliche Evaluation begleitet: https://t.co/PUsilC1Vrq Ja, ich bin komplett freiwillig & e
@LottaViehler @coronawarnapp @TwitterDE Hallo Lotta, 1. Diese Frage kann dir niemand beantworten, oder kannst du mir sagen wie viele Tot durch Anschnallgurte verhindert wurden? 2. Darauf gibt diese Studie aus England eine Antwort: https://t.co/psi17VrFve
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
RT @jbond: The NHS Covid-19 bluetooth app worked. Does it still work? Did it work in the most recent Omicron wave? And it worked despite t…
The NHS Covid-19 bluetooth app worked. Does it still work? Did it work in the most recent Omicron wave? And it worked despite the spread of the "Pingdemic" disinformation meme. Keep running it. Keep reporting to ZOE. There's really no reason not to.
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
RT @ChristoPhraser: Now peer-reviewed in Nature, “The Epidemiological impact of the NHS COVID-19 App”. Here’s a quick rundown of results &…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
👇
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
👀👀
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…
RT @ClareCraigPath: Looking back at the NHS app data from Sept-Dec 2020, it shows that for each life that may have been saved, there were 1…