RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @jfueyomargareto: Informacion clave sobre areas y condiciones de riesgo de contagio Mobility network models of COVID-19 explain inequiti…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
New study: Covid largely spread via high-occupancy restaurants, bars, churches, etc. "A small minority of “superspreader” places account for a large majority of infections. Restricting maximum occupancy at each is more effective than reducing mobility."
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
A transmission model incorporating mobility networks from neighborhoods to locations of interest suggests a small minority of "superspreader" locations, such as full-service restaurants and hotels, account for the majority of infections. https://t.co/3mYHX
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Restaurants, gyms and other crowded indoor venues likely accounted for some eight in 10 new infections in the early mont…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @ShellyMBoulder: 1/One of the most important findings from this paper was the mobility data model predicted higher risks of infection am…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
RT @juancpedreira: Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen qu…
Me pregunto que base científica usó el gobierno de Puerto Rico para llegar a un 30% de capacidad 🧐 ¿Realmente creen que con estas medidas hoy van a controlar la pandemia?
RT @ShellyMBoulder: 1/One of the most important findings from this paper was the mobility data model predicted higher risks of infection am…
1/One of the most important findings from this paper was the mobility data model predicted higher risks of infection among disadvantaged racial and socioeconomic groups https://t.co/jl8QI2lIll
Extremely important study #COVIDー19 @nature https://t.co/1y3GWv59I5 https://t.co/bSsIG8uWmf
Desigualdades/Covid: O singelo fato de ir às compras representa o dobro de risco de se contagiar no caso de um pobre vis-a-vis um rico. https://t.co/Y31gOeL3Uz
Great work from our @comp_epi partners @serinachang5 @jure - see the talk here: https://t.co/XfJSByLIQN
RT @linseymarr: “Restaurants were by far the riskiest places, about four times riskier than gyms and coffee shops, followed by hotels” -Jur…
Also: "We find that disadvantaged groups have not been able to reduce mobility as sharply, and that the POIs they visit are more crowded and therefore higher-risk."
Mobility network models of COVID-19 explain inequities and inform reopening (via Nature) https://t.co/JzlNoCrvV3
RT @jorgeguitian: Un estudio publicado en Nature vincula hasta un 80% de los casos de COVID-19 con una serie restringida de espacios cerrad…
RT @McDevonMD: More evidence that indoor dining, gyms, cafes, and religious establishments are significant contributors to #COVID transmiss…
Informacion clave sobre areas y condiciones de riesgo de contagio Mobility network models of COVID-19 explain inequities and inform reopening https://t.co/vdQ1RQe94x @Nunodomin @cglucio @saez_cristina @pablalva @LauraFonsua @pifermu
Un estudio publicado en Nature vincula hasta un 80% de los casos de COVID-19 con una serie restringida de espacios cerrados: "Certain categories (e.g. full-service restaurants, hotels) also contributed far more to infections" https://t.co/riR9V5uYvG
RT @enriquemplata: Pues arece q sí hay focos claros https://t.co/v5yll3JtFI
Interesting COVID-19 paper. In summary, it creates a model based on cell phone data / mobility of people in various metro areas to predict which social interactions are more likely to result in COVID spread. A figure from the paper attached. https://t.co
11/13GoTo真っ向否定の研究例③ わかるが、ヨーロッパの失敗、特にUKの外食割引支援が第2波の原因見てれば…UKは夏はGDP一瞬もちなおしたが(日本と同じ)再度封鎖で、年率ではEU内最低レベル、タイミングが違った! ☟飲食&ホテルが高感染のnature articleへのリンク https://t.co/6olTTslvf0
RT @EricTopol: Important new @nature paper today using 98 million people smartphone mobility data to detect🦠hotspots, track covid nationall…
La ciencia apunta a los restaurantes, gimnasios y bares como principales espacios "supercontagiadores".El estudio adjunto estima que el 10% de las ubicaciones examinadas eran responsables del 85% de los nuevos casos de Covid en EEUU.#COVIDー19 #coronavirus
2/ Part of the recent motivation for discussing restaurants comes from a recent scientific papers that (again & again) suggests in-person restaurant dining is one of the most dangerous type of locations to be in. No masks, loud talking, many people, e
“super-spreader” locations, such as restaurants, gyms and grocery stores, made up just 10% of all “points of interest” but accounted for 85% of #COVID19 infections modeled in new @nature study https://t.co/6hs0EfM6et
RT @serinachang5: Check out our new paper in @nature, “Mobility network models of COVID-19 explain inequities and inform reopening”! https:…
Not good news for #restaurants #COVID ...https://t.co/2NeneSfatp
@TomKitchin @scotgov @NicolaSturgeon Restaurants aren’t as safe as you think.
Pues arece q sí hay focos claros https://t.co/v5yll3JtFI
+ + + Scoop + + + https://t.co/F40sVdIOqW
RT @serinachang5: Check out our new paper in @nature, “Mobility network models of COVID-19 explain inequities and inform reopening”! https:…
RT @McDevonMD: More evidence that indoor dining, gyms, cafes, and religious establishments are significant contributors to #COVID transmiss…
RT @serinachang5: Check out our new paper in @nature, “Mobility network models of COVID-19 explain inequities and inform reopening”! https:…
RT @serinachang5: Check out our new paper in @nature, “Mobility network models of COVID-19 explain inequities and inform reopening”! https:…
RT @serinachang5: Check out our new paper in @nature, “Mobility network models of COVID-19 explain inequities and inform reopening”! https:…
RT @willhumble_az: @GaydosKTAR We've learned a ton about how to slow this virus down since April. Broad based shut downs have a negative pu…
@GaydosKTAR We've learned a ton about how to slow this virus down since April. Broad based shut downs have a negative public health ROI. Masks & enforced capacity limits in bars & restaurants are far better. If you shut down anything, shut down bar
RT @McDevonMD: More evidence that indoor dining, gyms, cafes, and religious establishments are significant contributors to #COVID transmiss…
RT @McDevonMD: More evidence that indoor dining, gyms, cafes, and religious establishments are significant contributors to #COVID transmiss…
Según la revista Nature, las iglesias, los restaurantes y los centros educativos, son los lugares con más focos de infección de la COVID-19. https://t.co/UETSkKszIu
RT @McDevonMD: More evidence that indoor dining, gyms, cafes, and religious establishments are significant contributors to #COVID transmiss…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
@SZ Ziemlich viel Meinung und pauschale Lobeshymnen auf Fitnessstudios. Gucken wir uns mal die Fakten an https://t.co/WnFHBvpGdI Aber schön, dass jeder in der SZ seinen Schwachsinn zum Besten geben darf
RT @UtahPhysicians: A new study found that 80% of #COVID transmission occurred because of indoor activity - indoor dining, cafes, gyms, hot…
RT @EricTopol: Important new @nature paper today using 98 million people smartphone mobility data to detect🦠hotspots, track covid nationall…
Merci Mr Coppiters
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @PabloFuente: #COVID19 Lo tenéis aquí: https://t.co/CGn2dvBZqG
Follow the science #no lockdown # stop superspreaders https://t.co/4nmKNWskWz
RT @serinachang5: Check out our new paper in @nature, “Mobility network models of COVID-19 explain inequities and inform reopening”! https:…
RT @nature: Reopening places such as restaurants, fitness centers, cafes, and hotels carries the highest risk for transmitting SARS-CoV-2,…
No 3 is: Mobility network models of COVID-19 explain inequities and inform reopening. https://t.co/qdLanYKBfx
RT @YvesCoppieters: Il a été fait écho dans les médias d'une étude de Standford sur les risques dans l'horeca. Elle met en avant des contam…
This #COVID19 story in the @daytondailynews features comments from HPIO's @AmyStevensHPIO. The @nature study she mentions can be found here: https://t.co/hP1ZznTmXh https://t.co/24FN2SIcap
Mobility network models of COVID-19 explain inequities and inform reopening https://t.co/9OXcw3sXbB
Mobility network models of COVID-19 explain inequities and inform reopening | Nature https://t.co/qr2ClM0yn5
RT @juancpedreira: Restaurants, gyms and other crowded indoor venues likely accounted for some eight in 10 new infections in the early mont…
RT @MBittencourtMD: Artigo recente da Nature sobre distanciamento, reabertura e seu impacto. Leitura essencial, mas bastante complexo. Vou…
RT @DrCraigGedye: Dogs, not gods. Cars, not bars. Spare parts, not a la carte. US data informs how we might take a more nuanced approach to…
Bien d'accord. Ceci est indicatif. Ce serait une erreur de transposer chez nous les données et interprétations des USA. Trop de différences dans l'organisation de la société.
My sense, from reading the perspectives of experts like @DFisman and others, is that there might indeed be a good justification for this particular causal claim. But I'd defer to their expertise on the matter. https://t.co/ckVOOXs1MP
Zu den Restaurants via @hfeldwisch #ff
@mtizzoni ciao, naturalmente hai visto il paper su Nature: https://t.co/SvzsjWcSJx Negli USA sono in grado di usare SafeGraph. E' possibile realizzare qualcosa di lontanamente paragonabile con i dati di Cuebiq? Grazie! (nel frattempo riguardo i tuoi paper
RT @YvesCoppieters: Il a été fait écho dans les médias d'une étude de Standford sur les risques dans l'horeca. Elle met en avant des contam…
A beauty & a challenge of science is that as fields get more distant from your own, you can’t critique technique effectively. @EpiEllie @jabarocas this big data technique looks powerful, results match w reality, has policy implications. Good one? htt
RT @juancpedreira: Restaurants, gyms and other crowded indoor venues likely accounted for some eight in 10 new infections in the early mont…
RT @YvesCoppieters: Il a été fait écho dans les médias d'une étude de Standford sur les risques dans l'horeca. Elle met en avant des contam…
RT @juancpedreira: Restaurants, gyms and other crowded indoor venues likely accounted for some eight in 10 new infections in the early mont…
RT @lacerantplainer: 80% of All Coronavirus Infections Come from These Places - Restaurants, religious organizations, hotels, motels, docto…
80% of All Coronavirus Infections Come from These Places - Restaurants, religious organizations, hotels, motels, doctors’ offices, cafes, and grocery stores .....https://t.co/PQpSmE9yl9
Restaurants, gyms and other crowded indoor venues likely accounted for some eight in 10 new infections in the early months of the U.S. coronavirus epidemic, according to a new analysis that used cellphone mobility data from 10 U.S. cities https://t.co/WTH
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @bradwouters: Fascinating paper - based on phone mobility data supports small numbers of superspreader events responsible for bulk of in…
RT @christinalosada: Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de…
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @bradwouters: Fascinating paper - based on phone mobility data supports small numbers of superspreader events responsible for bulk of in…
Gracias @RaquelBlascoR , datos, propuestas...
RT @halvarflake: Some great research on what points-of-interest drive COVID infections. Dense to read, but worth it, and useful to inform p…
@porrporr hier
RT @halvarflake: Some great research on what points-of-interest drive COVID infections. Dense to read, but worth it, and useful to inform p…
TLDR research showing what kind of locations where tighter restrictions (like on crowd sizes) help the most
RT @ajitjohnson_n: A small minority of “superspreader” points of interest (POIs) such as restaurants & religious establishments account for…
RT @YvesCoppieters: Il a été fait écho dans les médias d'une étude de Standford sur les risques dans l'horeca. Elle met en avant des contam…
RT @oartaza: Cada vez más evidencia sobre el riesgo relacionados con restaurantes, gimnasios y cafés... a no relajarse...
Excelente thread! Distanciamento tem estratégia. Segunda onda é muito provável no Brasil. Disparidades socioeconômicas impactam até 50 vezes. Abrir com redução de capacidade é fundamental. [estudo usa dados de celulares, por isso não tem escola]. Se cuidem
RT @christinalosada: Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de…