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…
"restricting maximum occupancy at each Point Of Interest (#restaurant, #FitnessStudio, #coffeeshop, #hotels) is more effective than uniformly reducing mobility." #covid19 https://t.co/wRHcW5puK4
RT @MBittencourtMD: Artigo recente da Nature sobre distanciamento, reabertura e seu impacto. Leitura essencial, mas bastante complexo. Vou…
RT @christinalosada: Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de…
RT @PabloFuente: #COVID19 Lo tenéis aquí: https://t.co/CGn2dvBZqG
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 @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 @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 @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
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…
Mobility network models of COVID-19 explain inequities and inform reopening https://t.co/H9GvXwwzYI
RT @christinalosada: Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de…
RT @christinalosada: Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de…
RT @christinalosada: Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de…
RT @ericlchaney: Voir le papier de Chang & al. dans @nature , basé sur les déplacements de 98M d'🇺🇸 post-confinement. Superspreaders: resta…
Restringir el aforo de Puntos de Interés (establecimientos, lugares de encuentro) es mucho más efectivo que reducir de manera uniforme la movilidad. Conclusiones de un estudio de los movimientos de 98 millones de personas en EEUU. https://t.co/FZgpn7il6L
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…
Voir le papier de Chang & al. dans @nature , basé sur les déplacements de 98M d'🇺🇸 post-confinement. Superspreaders: restaurants, salles de sport, cafés, lieux de culte. Petit commerces = peu de risque. Très différent en 🇫🇷 ? Difficile à croire https:/
Il a été fait écho dans les médias d'une étude de Standford sur les risques dans l'horeca. Elle met en avant des contaminations importantes de populations plus précaires dans certains lieux, en avril 2020 aux USA. La transposition chez nous est hasardeuse
Link do artykułu https://t.co/GQAuOpEpqa
A @nature study suggests most SARS-CoV-2 infections occur at a small number of packed locations, like restaurants. Reduced occupancy would help combat COVID-19 while limiting economic loss. Workers also need options to work from home and paid sick leave. ➡
@final_space_ @RafaelOsswald @c_lindner Boah, @c_lindner! Da weiß man echt nicht mehr, wo anfangen. Dankenswerterweise hat mir @ConsistentBuzz1 gerade eine Studie geschickt. Nach der sieht's für die Restaurants echt schlecht aus. Aber was ist schon @natu
RT @sebasugarte: #COVID19 Apasionante estudio publicado en Nature con datos de teléfonos celulares de 10 grandes ciudades en USA de marzo a…
RT @chngin_the_wrld: Today's #shoutout to #womenInSTEM goes to @serinachang5 for her awesome paper @nature showing how mobility networks pr…
RT @oartaza: Cada vez más evidencia sobre el riesgo relacionados con restaurantes, gimnasios y cafés... a no relajarse...
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
Mobility network models of COVID-19 explain inequities and inform reopening | Nature https://t.co/u9fQ3zpYiZ
@mauzemontole @contraidethuong surtout qu'on commence à savoir quels sont les lieux/moments les + risqués : restos/bars , salles de sport, cultes. https://t.co/kVJ0CaK4K4
RT @rigotordoc: Tener en cuenta 👇
Une étude de l’Université de Stanford qui a porté sur 98 millions de personnes : https://t.co/30p4Be8uXY
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
A computer model has accurately predicted the spread of COVID-19 in 10 USA major cities this spring. https://t.co/0KBnHzPLc8
@_ms_info_ könnte dich interessieren. Studie über Infektionen in verschiedenen Arten von Läden (Gastronomie, Kleinhandel, Hotels, etc) über Handy Daten. Aus USA und noch im preprint, also eventuell nicht exakt nach hier übertragbar. https://t.co/taJOuMD
Mobility network models of COVID-19 explain inequities and inform reopening | Nature https://t.co/0PcBQW04jJ
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
https://t.co/Gph5vcp4zO Mobility network models of COVID-19 explain inequities and inform reopening
RT @ProfKevinFenton: THIS!! —> Mobility network models of #COVID19 predicted higher infection rates among disadvantaged racial and socioeco…
"Our model predicts that a small minority of “superspreader” POIs (= Points Of Interest, op. AK) account for a large majority of infections and that restricting maximum occupancy at each POI is more effective than uniformly reducing mobility." https://t.c
Some great research on what points-of-interest drive COVID infections. Dense to read, but worth it, and useful to inform policy decisions (in countries where science is used to inform policy decisions): https://t.co/SI0MTdPB3b https://t.co/z4oN5GnfPS
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @azavascki: Reaberturas têm impacto em aumento de infecções. Restaurantes, academias, cafés e hotéis associadas ao maior risco de transm…
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @_ElisaC_: Have you been wondering like me where SARS-CoV-2 infections occur? This article shows where and why infection risk is so ineq…
Have you been wondering like me where SARS-CoV-2 infections occur? This article shows where and why infection risk is so inequal https://t.co/N4dOuu1xqG
RT @MBittencourtMD: Artigo recente da Nature sobre distanciamento, reabertura e seu impacto. Leitura essencial, mas bastante complexo. Vou…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @elenamaso: Tancament restauracio, oci, esport: Doncs sembla que si, que calia fer ho.....
RT @nature: Reopening places such as restaurants, fitness centers, cafes, and hotels carries the highest risk for transmitting SARS-CoV-2,…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @UroDocAsh: Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted i…
RT @Rodrigo_G_I: It isn’t over yet. Interesting findings for future, more effective, measures.
RT @Dr_Col_J: Restaurants are Covid-19 hot spots- four times riskier than the next riskiest location, the gym. Heavily peer-reviewed study…
RT @nature: Reopening places such as restaurants, fitness centers, cafes, and hotels carries the highest risk for transmitting SARS-CoV-2,…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @MaxCRoser: Restaurants stand out as very risky places, but the paper suggests that reducing their capacity (rather than necessarily clo…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @Dr_Col_J: Restaurants are Covid-19 hot spots- four times riskier than the next riskiest location, the gym. Heavily peer-reviewed study…
Authors @nature analyzed cellphone data in 10 largest US cities and found that dining at full-service restaurants resulted in super spreader events. They did not identify infections associated with schools or office workplaces. https://t.co/WYSSKjxojN
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @MaxCRoser: Restaurants stand out as very risky places, but the paper suggests that reducing their capacity (rather than necessarily clo…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @oartaza: Cada vez más evidencia sobre el riesgo relacionados con restaurantes, gimnasios y cafés... a no relajarse...
RT @RensingStefan: 'Our model predicts that a small minority of “superspreader” POIs * account for a large majority of infections and that…
Mobility network models of COVID-19 explain inequities and inform reopening | Nature https://t.co/VekLBbMnsl
RT @HealthnFreedom: @RebeccaSaah “Superspreader” points of interest (POIs) such as restaurants and religious establishments account for a l…
RT @rigotordoc: Tener en cuenta 👇
@toebeesaw “Superspreader” points of interest (POIs) such as restaurants and religious establishments account for a large majority of COVID-19 infections and restricting maximum occupancy at each POI is more effective than uniformly reducing mobility. http
@RebeccaSaah “Superspreader” points of interest (POIs) such as restaurants and religious establishments account for a large majority of COVID-19 infections and restricting maximum occupancy at each POI is more effective than uniformly reducing mobility. ht
Interesting study out of Stanford, published in Nature, tracked 98 million U.S. cell phones to determine points-of-interest high risk for #COVID19 transmission. Very technical but highest were full-service restaurants, fitness centers, cafes/snack bars...
RT @MBittencourtMD: Artigo recente da Nature sobre distanciamento, reabertura e seu impacto. Leitura essencial, mas bastante complexo. Vou…
RT @nature: Reopening places such as restaurants, fitness centers, cafes, and hotels carries the highest risk for transmitting SARS-CoV-2,…
RT @nature: Reopening places such as restaurants, fitness centers, cafes, and hotels carries the highest risk for transmitting SARS-CoV-2,…
RT @KobaML: 8 de cada 10 infecciones por coronavirus se dan en restaurantes, bares, gimnasios y otros interiores. https://t.co/BOAp7rQHjZ…
Restaurants, gyms, cafes, and other crowded indoor venues accounted for some 8 in 10 new coronavirus infections in the early months of the U.S. epidemic. https://t.co/DpQvR4kGte
"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." https://t.co/tWNOdFVwRf #COVID19 #StaySafe #MaskUp #SocialDistancing
RT @BCoeure: Cool new research on COVID superspreader points of interest (eg. restaurants) + impacted social groups, based on mobility data…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @oartaza: Cada vez más evidencia sobre el riesgo relacionados con restaurantes, gimnasios y cafés... a no relajarse...
RT @ZulmaCucunuba: Fantástico estudio que combina: - BigData movilidad por horas de 98M de personas - Modelos dinámico de transmisión - D…
... "Our model predicts that a small minority of “superspreader” POIs account for a large majority of infections and that restricting maximum occupancy at each POI is more effective than uniformly reducing mobility." ... https://t.co/SZ6IZvZRlv #Science
RT @fg_oliveri: Creo que en situaciones como estás habría que aplicar medidas propuestas por profesionales especializadas en la materia. Ca…
RT @rigotordoc: Tener en cuenta 👇
RT @MBittencourtMD: Artigo recente da Nature sobre distanciamento, reabertura e seu impacto. Leitura essencial, mas bastante complexo. Vou…
RT @RaquelBlascoR: #Hilo Restaurantes y gimnasios principales puntos d contagio #COVID19 by @nature https://t.co/C8H9W6Hr4a Datos geoloca…
RT @KobaML: 8 de cada 10 infecciones por coronavirus se dan en restaurantes, bares, gimnasios y otros interiores. https://t.co/BOAp7rQHjZ…
RT @rigotordoc: Tener en cuenta 👇 https://t.co/GoJ6bYItFH
@omeuxeito Los datos son de mayo, pero la lógica sigue válida https://t.co/xSJ5FC0JIh