Knowledge of COVID-19 among waiters working in food and drinking establishments, Southwest Ethiopia, 2020.

Factors associated with COVID 19 preventive behavior among waiters working in food and drinking establishments, Southwest Ethiopia, 2020.

This dataset includes transcriptions of interviews with Indigenous Individuals from Alaska and the US Southwest conducted over Zoom between March and July 2021. The interviews focused on individual’s access to harvested traditional foods as well as store bought food during the first year of the COVID-19 pandemic as well as institutional responses to support food access during this period. 31 semi-structured interviews were recorded (with permission), transcribed, and anonymized. Audio recordings were deleted to maintain participant confidentiality. The transcribed interviews are being stored on a secure server at the University of Arizona and due to potential sensitivity of the data, are not publicly available.

Covid-19: NCT of Delhi: South West Delhi: Weekly Vaccinations: Age: Above 60 data was reported at 0.000 Unit in 05 Apr 2024. This stayed constant from the previous number of 0.000 Unit for 22 Mar 2024. Covid-19: NCT of Delhi: South West Delhi: Weekly Vaccinations: Age: Above 60 data is updated weekly, averaging 464.000 Unit from Jan 2021 (Median) to 05 Apr 2024, with 165 observations. The data reached an all-time high of 22,808.000 Unit in 16 Apr 2021 and a record low of 0.000 Unit in 05 Apr 2024. Covid-19: NCT of Delhi: South West Delhi: Weekly Vaccinations: Age: Above 60 data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under India Premium Database’s Health Sector – Table IN.HLF034: Disease Outbreaks: Coronavirus 2019: MOHFW-CoWin: Vaccination: Weekly: by Age Group: Northern Region: by District (Discontinued).

In 2024, Southwest Airlines Co. generated approximately **** billion U.S. dollars in revenue. This marked an increase of *** percent compared to the previous year. Over the given period, the airline saw incremental increases since 2010, before declining severely when the coronavirus pandemic started. Revenue then went on to increase to greater values than pre-pandemic levels.     Southwest Airlines' financial metrics Southwest Airlines Co. brings in more operating revenue than it pays in operating expenses, an indication of the financial stability for the company. The airline held total assets at **** billion U.S. dollars in 2023, roughly ** billion U.S. dollars more than the 2010 level. Southwest Airlines was one of the top ten largest airlines in the North America, in terms of operating revenue in 2022.     Customer experience with Southwest  As one of the largest low-cost carriers in the world, Southwest faces a trade-off of cost-effectiveness with customer contentment. In 2023, customers had a satisfaction index score of ** for the airline. About ***** percent of Southwest's flights were on time in 2022, placing the airline in the center of ranked airlines. The company had a rate of 5.4 mishandled bags per 1,000 passengers in that same year, standing close to the middle amongst its competitors. 

Southwest Airlines carried around *** million paying passengers in 2024. This was a significant increase compared to the last four years, when passenger numbers had been impacted by travel restrictions due to the COVID-19 pandemic.

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Ghana. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

Background: Low-income earners are particularly vulnerable to mental health, consequence of the coronavirus disease 2019 (COVID-19) lockdown restrictions, due to a temporary or permanent loss of income and livelihood, coupled with government-enforced measures of social distancing. This study evaluates the mental health status among low-income earners in southwestern Uganda during the first total COVID-19 lockdown in Uganda.Methods: A cross-sectional descriptive study was undertaken amongst earners whose income falls below the poverty threshold. Two hundred and fifty-three (n = 253) male and female low-income earners between the ages of 18 and 60 years of age were recruited to the study. Modified generalized anxiety disorder (GAD-7), Spielberger's State-Trait Anger Expression Inventory-2 (STAXI-2), and Beck Depression Inventory (BDI) tools as appropriate were used to assess anxiety, anger, and depression respectively among our respondents.Results: Severe anxiety (68.8%) followed by moderate depression (60.5%) and moderate anger (56.9%) were the most common mental health challenges experienced by low-income earners in Bushenyi district. Awareness of mental healthcare increased with the age of respondents in both males and females. A linear relationship was observed with age and depression (r = 0.154, P = 0.014) while positive correlations were observed between anxiety and anger (r = 0.254, P < 0.001); anxiety and depression (r = 0.153, P = 0.015) and anger and depression (r = 0.153, P = 0.015).Conclusion: The study shows the importance of mental health awareness in low resource settings during the current COVID-19 pandemic. Females were identified as persons at risk to mental depression, while anger was highest amongst young males.

COVID-19: To-Date: Vaccination: Dose 1: Medical Worker: Aceh: South West Aceh Regency data was reported at 1,726.000 Person in 17 May 2025. This stayed constant from the previous number of 1,726.000 Person for 16 May 2025. COVID-19: To-Date: Vaccination: Dose 1: Medical Worker: Aceh: South West Aceh Regency data is updated daily, averaging 1,726.000 Person from Nov 2021 (Median) to 17 May 2025, with 1030 observations. The data reached an all-time high of 1,726.000 Person in 17 May 2025 and a record low of 1,628.000 Person in 23 Nov 2021. COVID-19: To-Date: Vaccination: Dose 1: Medical Worker: Aceh: South West Aceh Regency data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLB006: Coronavirus Disease 2019 (Covid-19): Vaccination Status: by Regency and Municipality: Medical Workers.

Covid-19: Daily Vaccinations: NCT of Delhi: South West Delhi: Precaution Dose data was reported at 0.000 Unit in 01 Apr 2024. This stayed constant from the previous number of 0.000 Unit for 20 Mar 2024. Covid-19: Daily Vaccinations: NCT of Delhi: South West Delhi: Precaution Dose data is updated daily, averaging 27.000 Unit from Dec 2021 (Median) to 01 Apr 2024, with 645 observations. The data reached an all-time high of 5,113.000 Unit in 16 Jul 2022 and a record low of 0.000 Unit in 01 Apr 2024. Covid-19: Daily Vaccinations: NCT of Delhi: South West Delhi: Precaution Dose data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under India Premium Database’s Health Sector – Table IN.HLF012: Disease Outbreaks: Coronavirus 2019: MOHFW-CoWin: Vaccination: Northern Region: by District (Discontinued).

Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. 75-84, 85+, and 65+). United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Data across all counties in five states (Arizona, Colorado, New Mexico, Oklahoma, and Texas) in the U.S. were collected for the study on the impact of the socio-economic and political status on the county-level COVID-19 vaccination rates. Variables were obtained from various data sources; the Bureau of Labor Statistics, Bureau of Economic Analysis, 2010 US Census, Politico, and Centers for Disease Control and Prevention (CDC). It was found that county-level vaccination rates were significantly associated with the percentage of Democrat votes, the elderly population, and per capita income of the county. In addition, the results revealed racial and ethnic disparities in COVID-19 vaccination. The manuscript entitled “Socio-political and Economic Impact on the COVID-19 Vaccination: Southwest Regional Study” was submitted for publication.

The COVID Information Commons (CIC) is an open website portal and community to facilitate knowledge-sharing and collaboration across various COVID research efforts, funded by the NSF Convergence Accelerator and the  NSF Technology, Innovation and Partnerships Directorate. The CIC serves as an open resource for researchers, students, and decision-makers from academia, government, not-for-profits and industry to identify collaboration opportunities, to leverage each other's research findings, and to accelerate the most promising research to mitigate the broad societal impacts of the COVID-19 pandemic. The CIC was developed as a collaborative proposal led by the Northeast Big Data Innovation Hub, hosted by Columbia University, in collaboration with the Midwest Big Data Innovation Hub, South Big Data Innovation Hub, and West Big Data Innovation Hub. It was funded by the NSF Convergence Accelerator (NSF #2028999) in May 2020 and launched in July 2020. The initial focus of the CIC website ..., The NSF and NIH funded COVID related awards corpus in the CIC was collected primarily from NSF and NIH via APIs. Further information has been collected directly from researchers, who filled out an online form to enhance the descriptions. The dataset has been cleaned and enhanced by automated processing, using custom scripts to remove invalid characters, and standardize names of funding agency divisions., , # COVID Information Commons Archive

This archive is a snapshot of the COVID Information Commons (CIC). The CIC is a live database that records information about COVID-19 researchers and their projects.

Description of the data and file structure

The snapshot of the CIC contains the following files, each listed with a description of the fields it contains:

cic_people_export.json -- Researchers who have studied aspects of COVID-19. All information known about the researchers in CIC, except email addresses, which have been filtered out for privacy purposes. Some researchers have minimal information, as CIC may only know their name via a reference in a grant description. Other people have more complete records, if they have provided additional information to the CIC.

• affiliations -- organizational affiliations of the researcher (as described for cic_orgs_export.json)
• first_name -- researcher's first name
• last_name -- researcher's last name
• orcid -- researchers i...

As of March 06, 2022, overall coronavirus (COVID-19) cases in South Africa reached its highest at 3,684,319 infections. It was also the largest volume of confirmed cases compared to other African countries. Regionally, Gauteng (Johannesburg) was hit hardest and registered 1,196,591 cases, whereas KwaZulu-Natal (Durban) and Western Cape (Cape Town) counted 653,945 and 642,153 coronavirus cases, respectively. In total 23,245,373 tests were conducted in the country. Total recoveries amounted to 3,560,217. On December 12, 2021, the highest daily increase in cases was recorded in South Africa.

Economic impact on businesses in South Africa

The coronavirus pandemic is not only causing a health crisis but influences the economy heavily as well. According to a survey on the financial impact of COVID-19 on various industries in South Africa, 89.6 percent of businesses indicated to see a turnover below the normal range. Mining and quarrying industry was hit hardest with nearly 95 percent of all companies seeing a decrease in turnover, whereas the largest share of businesses experiencing no economic impact are working within the real estate sector and other business services. As a response to the coronavirus, laying off workers in the short term was the most common workforce measure that businesses in South Africa implemented. 36.4 percent of businesses indicated to have laid of staff temporarily, and roughly 25 percent decreased the working hours. Approximately 20 percent of the surveyed companies, on the other hand, said no measures have been taken.

Business survivability without any revenue

Due to the measures taken by the government to prevent the coronavirus from spreading too fast, many businesses had to close its doors temporarily. However, if the coronavirus would leave them without any form of revenue for up to three months, eight out of ten businesses in South Africa predicted (in April 2020) they will go bankrupt. Just 6.7 percent said to survive for longer than three months without any turnover.

Socio-demographic characteristics of waiters working in food and drinking establishments, Southwest Ethiopia, 2020.

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Niger. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

According to a survey conducted in the United Kingdom (UK) as of April 2022, 246 thousand people in the South East of England were estimated to be suffering long COVID symptoms, the highest number across the regions in the UK. In the North West of England a further 218 thousand people were estimated to have long COVID.

JUMC visitors COVID-19 preventive practices, Jimma, Ethiopia, March 2020 (n = 247).

As of January 12, 2023, COVID-19 has been responsible for 202,157 deaths in the UK overall. The North West of England has been the most affected area in terms of deaths at 28,116, followed by the South East of England with 26,221 coronavirus deaths. Furthermore, there have been 22,264 mortalities in London as a result of COVID-19.

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