Following the warning from the UK Prime Minister to avoid pubs, clubs and other social venues on March 16, 2020, 58 percent of consumers who visit bars, pubs and restaurants said they will stop visiting. The advice, given in light of the global coronavirus (COVID-19) pandemic, aimed to help reduce the spread of the disease. However 14 percent of consumers said they still plan to visit at least as often in order to support the sector during this difficult time, while a further 28 percent said they will visit less frequently.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Although sales remained down following the re-opening of bars, pubs, and restaurants in Great Britain in July 2020, figures show signs of recovery for the industry. In August 2020, like-for-like sales of pubs and restaurants were only down around 10 percent compared to 2019, largely down the influence of the 'Eat of to Help Out' scheme. Sales dipped again in September, as the scheme ended, with bars suffering the most with a 42.7 percent fall. By December, bars continued to suffer as sales fell as low as 87.2 percent during what could have been the busiest season of the year.

Like-for-like sales had already begun to fall at the beginning of March when the public were warned to avoid pubs, restaurants and other venues in an attempt to prevent the spread of the new coronavirus. Shortly after, the country went into a full lockdown, with premises only able to open for takeaway and delivery.

Provides public health guidance to support operators in reducing the risk of transmission of COVID-19 among guests and workers in restaurants, cafes, pubs and bars.

Most Spaniards see a favorable future ahead and consider that they will be able to resume their holiday leisure activities as the health crisis caused by the coronavirus pandemic at the beginning of 2020 eases off. According to the results of a survey conducted in April 2020, most of Spanish think they will be spending the same amount of money on going to pubs and clubs once the restrictions applied to fight against the spread of coronavirus are lifted.

Data and Stata code to replicate the article The Impact of Earlier Pub Closing Hours on Emergency Calls to the Police during the COVID-19 Pandemic in Sweden. Insert your working directory as indicated in the do-file, and you can replicate all analyses in the article.

Sales of pub and restaurant groups all fell in Great Britain in the week prior to the government's warning to avoid them due to the growing threat of coronavirus (COVID-19). As a preventative measure, the UK Prime Minister urged the public on Monday March 16 to avoid pubs, clubs and social venues to reduce the spread of the virus. Restaurant groups experienced the biggest fall in like-for-like sales in the week prior to the announcment at 21 percent, while bar sales dropped by 14 percent. Managed pubs faired only slightly better with a 12 percent decline. In the following week, it was announced that pubs, bars and restaurants had to close to customers, other than for delivery or takeaway. Over the whole month of March, bar sales dropped by 60 percent, and restaurants by 56.4 percent compared to the same period in 2019. During the re-opening phase, bar, pub, and restaurant sales continued to be down, though the industry has shown signs of recovery.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Archive: Liste des tests de détection COVID-19 publiés sur le site https://covid-19.sante.gouv.fr/tests au 11/12/2023.

ASTHO created a Restaurants and Bars Restrictions layer using Esri’s ArcGIS online mapping tool. Data was sourced from jurisdictions' websites, executive orders and guidance documents. The layer displays information on restaurant and bar restrictions in states and territories. Please note, local authorities may also issue declarations or executive orders that are more restrictive in nature. This information is not included on this layer. Information is assessed regularly by ASTHO staff for relevance to state/territorial health officials’ priorities in their COVID-19 response. Updates to this layer will occur periodically.Data Definitions:Restaurants and Bars Restrictions - States and territories that have issued restaurant and bar restrictions in response to COVID-19.Terms of UseIf you plan to use this map to advance your own research or to disseminate the information we’ve presented here, please reference the below data citation, using DataCite’s format for citing.ASTHO. April 16, 2020. Restaurants and Bars Restrictions. Esri ArcGIS Layer. https://coronavirus-astho.hub.arcgis.com/.Originally published April 16, 2020 on https://coronavirus-astho.hub.arcgis.com/Workbook details: 1 attribute table in ArcGisOriginal author: ASTHO

The most popular activities replacing visiting bars and restaurants in the United Kingdom during the coronavirus (COVID-19) lockdown in 2020 were having virtual gatherings with friends and family, playing board games, and ordering hot food. Only a small share of people took part in a 'big night in' and/or tried to recreate drinks they would normally only purchase when going out, with eight and four percent respectively.

In May 2020, a survey carried out in the United Kingdom found that around two-thirds of the British missed seeing family and friends the most during the lockdown period as a result of the coronavirus pandemic. 38 percent of respondents said they miss going to restaurants and pubs, while 35 percent reported that they missed going on holidays. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway (https://covid-19.openaire.eu/), identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph (https://explore.openaire.eu/). The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA.

The dump consists of a gzip file containing one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.3974226.

This dataset provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dataset contains the OpenAIRE COVID-19 Gateway records, identified via full-text mining and inference techniques applied to the OpenAIRE Graph. The OpenAIRE Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA.

The dataset consists of a tar archive containing gzip files with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.8238913.

This bar chart displays deaths (people) by country and is filtered where the disease is COVID-19. The data is about diseases per day.

This bar chart displays diseases daily by date using the aggregation count and is filtered where the disease is COVID-19. The data is about diseases per day.

Rank of WHO recommendations in the order of their relative adherence.

Provides public health guidance to support operators in reducing the risk of transmission of COVID-19 among guests and workers in restaurants, cafes, pubs and bars.

Nearly one half of respondents in Great Britain expressed strong support for closing down eating and drinking establishments for two weeks in areas where coronavirus (COVID-19) cases continue to rise, as of September 2020. Around 20 percent were opposed to such measures.

This dataset contains the trajectory of a 10 microseconds-long coarse-grained molecular dynamics simulation of the SARS-CoV2 ORF3a dimeric transmembrane protein (PDB id: 6XDC, Bioassembly 1) embedded in a membrane patch containing POPE, POPC, and POPS phospholipids in a 2:1:1 proportion. Simulations have been performed using the SIRAH force field running with the Amber18 package at the Uruguayan National Center for Supercomputing (ClusterUY) under the conditions reported in Barrera et al. JCTC 2019, adding 150 mM NaCl according to Machado & Pantano JCTC 2020.

The files contain all the raw information required to visualize (on VMD), analyze, backmap, and eventually continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing CG trajectories using SirahTools can be found at www.sirahff.com. Additionally,

The files 6xdc_SIRAHcg_rawdata_0-2us.tar, 6xdc_SIRAHcg_rawdata_2-4us.tar, 6xdc_SIRAHcg_rawdata_4-6us.tar, 6xdc_SIRAHcg_rawdata_6-8us.tar, and 6xdc_SIRAHcg_rawdata_8-10us.tar contain all the raw information required to visualize (on VMD), analyze, backmap, and eventually continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing CG trajectories using SirahTools can be found at www.sirahff.com.

Additionally, the file 6XDC_SIRAHcg_10us_prot-memb_skip10ns.tar contains only the protein and phospholipids´ coordinates, with one frame every 10ns.

To take a quick look at the trajectory:

1- Untar the file 6xdc_SIRAHcg_10us_prot-memb_skip10ns.tar

2- Open the trajectory on VMD using the command line:

vmd 6xdc_SIRAHcg_prot-memb.prmtop 6xdc_SIRAHcg_prot-memb.ncrst 6xdc_SIRAHcg_10us_prot-memb_skip10ns.nc -e sirah_vmdtk.tcl

Note that you can use normal VMD drawing methods as vdw, licorice, etc., and coloring by restype, element, name, etc.

This dataset is part of the SIRAH-CoV2 initiative.

For further details, please contact Exequiel Barrera (ebarrera@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).

This dataset contains the trajectory of a 10 microseconds-long coarse-grained molecular dynamics simulation of SARS-CoV2 Endoribonuclease NSP15 in its APO form (PDB id: 6W01, Bioassembly 1). Simulations were performed using the SIRAH force field running with the Amber18 package at the Uruguayan National Center for Supercomputing (ClusterUY) under the conditions reported in Machado et al. JCTC 2019, adding 150 mM NaCl according to Machado & Pantano JCTC 2020.

The file 6W01_SIRAHcg_rawdata.tar contains all the raw information required to visualize (on VMD), analyze, backmap, and eventually continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing CG trajectories using SirahTools can be found at www.sirahff.com.

Additionally, the file 6W01_SIRAHcg_10us_prot.tar contains only the protein coordinates, while 6W01_SIRAHcg_10us_prot_skip10ns.tar contains one frame every 10ns.

To take a quick look at the trajectory:

1- Untar the file 6W01_SIRAHcg_10us_prot_skip10ns.tar

2- Open the trajectory on VMD using the command line:

vmd 6W01_SIRAHcg_prot.prmtop 6W01_cg_prot.ncrst 6W01_SIRAHcg_prot_10us_skip10ns.nc -e sirah_vmdtk.tcl

Note that you can use normal VMD drawing methods as vdw, licorice, etc., and coloring by restype, element, name, etc.

This dataset is part of the SIRAH-CoV2 initiative.

For further details, please contact Exequiel Barrera (ebarrera@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).

Abstract

After implementing Phase 1 of the High-Frequency Phone Survey (HFPS) project in Latin America and The Caribbean in 2020, the World Bank conducted Phase 2 in 2021 to continue to assess the socio-economic impacts of the COVID-19 pandemic on households. This new phase, conducted in partnership with the UNDP LAC Chief Economist office, included two waves. Wave 1 covering 24 countries. Wave 2 collected between October and December 2022, covering 22 countries. Of these countries, 13 participated in Phase 1: Argentina, Bolivia, Colombia, Costa Rica, Chile, Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Paraguay and Peru. Countries that joined in Phase 2 are: Antigua & Barbuda and Brazil (only in Wave 1), Belize, Dominica, Guyana, Haiti, Jamaica, Nicaragua, Panama, St. Lucia and Uruguay.

This study presents information from 23 countries for which data was collected between May and July 2021. Brazil was integrated into the LAC HFPS Phase 2 project at a later point and was implemented with a slightly different approach. See the project information here: https://microdata.worldbank.org/index.php/catalog/4533. For information on the LAC HFPS Phase 1, see here: https://pubdocs.worldbank.org/en/238561622829862035/HFPS-TECHNICAL-NOTE-MAY2021-FINAL.pdf

Geographic coverage

National level

Analysis unit

Households and individuals of 18 years of age and older.

Sampling procedure

The size of the Phase 2 Wave 2 overall (cell phones and landlines) selected sample of phone numbers (i.e., before any fieldwork activities) in each of the Original Countries (i.e. the 13 countries included in LAC HFPS Phase 1) is equal to the Phase 1 Wave 1 overall selected sample of phone numbers, plus the Phase 2 Wave 1 overall supplement fresh sample, plus the Phase 2 Wave 2 overall supplement fresh sample of phone numbers.

The samples of the Added Countries (i.e. those only included in Phase 2) is based on a dual frame of cell phone and landline numbers generated through a Random Digit Dialing (RDD) process. In the first phase, a large sample was selected in both frames, and then screened through an automated process to identify the active, eligible numbers. A smaller second-phase sample was selected from the active residential numbers from in the first-phase sample and was delivered to the country teams. Please see Sampling Design and Weighting document for more detail.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

Questionnaires are available for download in language of data collection for each country (i.e. Spanish, English, French).