75 datasets found
  1. Shutting down period of Nigerian businesses due to COVID-19 2021

    • statista.com
    Updated Jan 24, 2023
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    Statista (2023). Shutting down period of Nigerian businesses due to COVID-19 2021 [Dataset]. https://www.statista.com/statistics/1224156/length-of-shutting-down-businesses-in-nigeria-in-january/
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    Dataset updated
    Jan 24, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    Up to 23 percent of businesses were completely closed in January 2021, of which only 1.4 percent remained shut down since the outbreak of the coronavirus (COVID-19). Up to 13 percent of those also closed for at least one month between June and December of the previous year, while the rest opened in December but closed again in January.

  2. Mexico: adults who have closed their businesses due to COVID-19

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Mexico: adults who have closed their businesses due to COVID-19 [Dataset]. https://www.statista.com/statistics/1173472/adults-close-business-coronavirus-mexico/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 20, 2020 - Aug 14, 2020
    Area covered
    Mexico
    Description

    According to a survey fielded in Mexico in August 2020, 11 percent of respondents stated having to close their businesses as a result of the COVID-19 pandemic. This represents a noticeable decrease compared to April, when 23 percent of participants said they had to shut down their businesses.

  3. Share of small business closings due to COVID-19 U.S. 2020-2022

    • statista.com
    Updated Aug 6, 2024
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    Statista (2024). Share of small business closings due to COVID-19 U.S. 2020-2022 [Dataset]. https://www.statista.com/statistics/1222202/us-covid-19-closings-small-businesses/
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 15, 2020 - Apr 17, 2022
    Area covered
    United States
    Description

    During an online survey, 0.6 percent of surveyed small businesses in the United States said they had temporarily closed a location due to the COVID-19 pandemic during the week ending April 17, 2022. Another 0.2 percent of respondents said that they had opened a previously closed location during the same week.

  4. Status of business activities during the COVID-19 pandemic in Morocco H2...

    • statista.com
    Updated May 2, 2024
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    Statista (2024). Status of business activities during the COVID-19 pandemic in Morocco H2 2020 [Dataset]. https://www.statista.com/statistics/1202881/status-of-business-operations-during-the-covid-19-pandemic-in-morocco/
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    Dataset updated
    May 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 22, 2020 - Dec 30, 2020
    Area covered
    Morocco
    Description

    As of the second half of 2020, most businesses in Morocco were in operation, following the lifting of strict coronavirus (COVID-19) confinement regulations in the country. This was represented by 83.7 percent of the 3,600 business enterprises surveyed. According to the survey, only 2.2 percent of these businesses had been permanently shut down due to the afore-mentioned pandemic. COVID-19 has had economic impacts on the country since its emergence in March 2020.

  5. s

    COVID-19 Impact On Small Businesses Statistics

    • searchlogistics.com
    Updated Feb 20, 2025
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    (2025). COVID-19 Impact On Small Businesses Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
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    Dataset updated
    Feb 20, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    27% of the entire small business workforce had to be laid off or furloughed in 2020 due to the COVID-19 pandemic.

  6. U.S. distribution of workers not working due to COVID-19 September 2022, by...

    • flwrdeptvarieties.store
    • statista.com
    Updated Nov 15, 2024
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    Statista Research Department (2024). U.S. distribution of workers not working due to COVID-19 September 2022, by gender [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstudy%2F72306%2Fcoronavirus-impact-on-the-us-economy%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    As of September 2022, many Americans still were not working due to the COVID-19 pandemic forcing their employer's businesses to close. In the United States, around 51.1 percent of those that had not worked in the last 4 weeks due to closing businesses were men.

  7. Share of companies potentially closing down due to COVID-19 Japan 2022, by...

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). Share of companies potentially closing down due to COVID-19 Japan 2022, by size [Dataset]. https://www.statista.com/statistics/1209483/japan-companies-potentially-closing-down-coronavirus-by-size/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 1, 2022 - Feb 9, 2022
    Area covered
    Japan
    Description

    According to a survey conducted in February 2022, around 7.4 percent of small to medium-sized companies in Japan foresaw a likelihood of discontinuation of their business activities due to the impact of the coronavirus (COVID-19) outbreak. By comparison, about 0.8 percent of large business enterprises reported the potential closing down.

  8. f

    DataSheet1_Economic cascades, tipping points, and the costs of a...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated Jun 4, 2023
    + more versions
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    Peter D. Roopnarine; Maricela Abarca; David Goodwin; Joseph Russack (2023). DataSheet1_Economic cascades, tipping points, and the costs of a business-as-usual approach to COVID-19.pdf [Dataset]. http://doi.org/10.3389/fphy.2023.1074704.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Peter D. Roopnarine; Maricela Abarca; David Goodwin; Joseph Russack
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Decisions to shutdown economic activities to control the spread of COVID-19 early in the pandemic remain controversial, with negative impacts including high rates of unemployment. Here we present a counterfactual scenario for the state of California in which the economy remained open and active during the pandemic’s first year. The exercise provides a baseline against which to compare actual levels of job losses. We developed an economic-epidemiological mathematical model to simulate outbreaks of COVID-19 in ten large Californian socio-economic areas. Results show that job losses are an unavoidable consequence of the pandemic, because even in an open economy, debilitating illness and death among workers drive economic downturns. Although job losses in the counterfactual scenario were predicted to be less than those actually experienced, the cost would have been the additional death or disablement of tens of thousands of workers. Furthermore, whereas an open economy would have favoured populous, services-oriented coastal areas in terms of employment, the opposite would have been true of smaller inland areas and those with relatively larger agricultural sectors. Thus, in addition to the greater cost in lives, the benefits of maintaining economic activity would have been unequally distributed, exacerbating other realized social inequities of the disease’s impact.

  9. Share of businesses that have closed in the UK due to Coronavirus in 2020,...

    • statista.com
    Updated Aug 6, 2024
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    Statista (2024). Share of businesses that have closed in the UK due to Coronavirus in 2020, by sector [Dataset]. https://www.statista.com/statistics/1114406/coronavirus-businesses-closing-in-the-uk/
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 23, 2020 - Apr 9, 2020
    Area covered
    United Kingdom
    Description

    Almost one quarter of all businesses have temporarily closed or paused trading due to the Coronavirus (COVID-19) pandemic in the United Kingdom as of April 2020. The sector with the highest share of business closures were those in the arts, entertainment, and recreation sector, with over 82 percent of them currently closed, compared with just 3.5 percent of human health, and social work businesses.

  10. f

    Data_Sheet_2_Initial Adjustment to the COVID-19 Pandemic and the Associated...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
    + more versions
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    Karen J. Kaczynski; Cindy Yu Hsing Chang; Justin Chimoff; Camila Koike; Charles B. Berde; Deirdre E. Logan; Sarah Nelson; Joe Kossowsky (2023). Data_Sheet_2_Initial Adjustment to the COVID-19 Pandemic and the Associated Shutdown in Children and Adolescents With Chronic Pain and Their Families.docx [Dataset]. http://doi.org/10.3389/fpain.2021.713430.s002
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Karen J. Kaczynski; Cindy Yu Hsing Chang; Justin Chimoff; Camila Koike; Charles B. Berde; Deirdre E. Logan; Sarah Nelson; Joe Kossowsky
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Objectives: Youth with chronic pain often struggle to function in multiple domains due to pain and associated psychosocial distress. In 2020, schools and businesses shut down and people were encouraged to remain at home due to the COVID-19 pandemic, eliminating or reducing stress due to functional difficulties. This study assessed whether pain and associated psychosocial outcomes improved in youth with chronic pain during the shutdown, compared with before the pandemic.Methods: Patients who completed clinical outcome measures during a multidisciplinary evaluation before the pandemic were readministered the same measures (PROMIS Anxiety, Depression, Sleep Disturbance, PCS, PedsQL) during the shutdown. At follow-up, patients also completed measures of adjustment to COVID-19 and their parents completed a measure of pandemic effects.Results: Participants included 47 patients ages 8–18 and a parent/guardian. The pandemic impacted families in both positive (e.g., more quality time with family) and negative ways (e.g., social isolation, disruption in care). Pain intensity and pain catastrophizing significantly decreased during the shutdown (ps

  11. f

    Soaring Demand for Personal Protective Equipment (PPE) During COVID-19

    • fatposglobal.com
    csv, xml
    Updated Jan 15, 2025
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    Market View Insight (2025). Soaring Demand for Personal Protective Equipment (PPE) During COVID-19 [Dataset]. https://www.fatposglobal.com/blog/soaring-demand-for-personal-protective-equipment-ppe-during-covid-19-47
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    csv, xmlAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Market View Insight
    License

    https://marketviewinsights.com/privacy-policyhttps://marketviewinsights.com/privacy-policy

    Time period covered
    Jan 1, 1950 - Dec 18, 2013
    Dataset funded by
    Market View Insight
    Description

    COVID-19 has an enormous impact on several businesses in all fields. While some businesses experience tremendous loss as a result of the shutdown that the federal governments worldwide are implementing, concerted efforts by the government and industry will ensure that test times pass shortly. Infection control consists of a wide range of measures such as hand hygiene, personal protective equipment and supplies for waste disposa.....

  12. Problems faced by business due to COVID-19 in India 2020

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Problems faced by business due to COVID-19 in India 2020 [Dataset]. https://www.statista.com/statistics/1183141/india-problems-faced-by-business-due-to-coronavirus/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    According to a survey as of November in 2020, NOGs were the most affected category of business as more than 50 percent in India. They had to temporarily shut down due to the coronavirus pandemic. For established companies, the challenges came from increased administrative bottlenecks, and issues with reduced logistics services and infrastructures, i.e., internet among others.

  13. U

    United States SBP: KS: Business Didn't Close for 1 Day

    • ceicdata.com
    + more versions
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    CEICdata.com, United States SBP: KS: Business Didn't Close for 1 Day [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sbp-ks-business-didnt-close-for-1-day
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 17, 2020 - Sep 20, 2020
    Area covered
    United States
    Variables measured
    Enterprises Statistics
    Description

    United States SBP: KS: Business Didn't Close for 1 Day data was reported at 32.000 % in 20 Sep 2020. This records an increase from the previous number of 30.300 % for 13 Sep 2020. United States SBP: KS: Business Didn't Close for 1 Day data is updated weekly, averaging 67.800 % from Apr 2020 to 20 Sep 2020, with 15 observations. The data reached an all-time high of 92.900 % in 14 Jun 2020 and a record low of 27.100 % in 16 Aug 2020. United States SBP: KS: Business Didn't Close for 1 Day data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S025: Small Business Pulse Survey: by State: Midwest Region. [COVID-19-IMPACT]

  14. The effects of government interventions on COVID-19 infection rate.

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    The effects of government interventions on COVID-19 infection rate. [Dataset]. https://plos.figshare.com/articles/dataset/The_effects_of_government_interventions_on_COVID-19_infection_rate_/20360553
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Akbar Zamanzadeh; Tony Cavoli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The effects of government interventions on COVID-19 infection rate.

  15. m

    Acceptance of societal and personal preventive measures during the COVID-19...

    • data.mendeley.com
    Updated Aug 18, 2020
    + more versions
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    Nan Zhu (2020). Acceptance of societal and personal preventive measures during the COVID-19 pandemic among college students in three societies [Dataset]. http://doi.org/10.17632/x3hvchhf2y.1
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    Dataset updated
    Aug 18, 2020
    Authors
    Nan Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The global effort to slow the spread of the coronavirus disease 2019 (COVID-19) largely depends on the support of every citizen to comply with societal regulations (e.g., school closure) and personal precautions (e.g., wearing a facemask). In an online study with participants from three societies (United States, China, and Japan; Ns = 122, 215, 191, respectively), we examined people’s acceptance of societal and personal preventive measures and their reasons. Drawing on social domain theory, we distinguished among moral, societal, personal, and prudential considerations as potential reasons. In the present study, participants indicated their acceptance of different societal and personal preventive measures and then endorsed the reasons (considerations) they believed to be most important to their acceptance of these measures. Also, they completed scales measuring perceived vulnerability to disease and sense of control. They were also asked to identify societal regulations already implemented by the government of their home country. Finally, using two items, we assessed participants’ subjective evaluation of the controllability of the pandemic (through societal regulations) and the preventability of COVID-19 (through personal precautions). Please see the "measures" document for the full list of items used in this study, and the "data" file for the original data of the study. We found that participants from the United States indicated the highest acceptance of personal preventive measures (e.g., handwashing, wearing facemasks), whereas participants from China indicated the highest acceptance of societal preventive measures (e.g., closing borders, shutting down non-essential businesses). Moral considerations predicted higher acceptance of societal preventive measures, whereas personal considerations predicted lower acceptance of both societal and personal preventive measures. Chinese participants, compared with American and Japanese participants, exhibited a stronger link between societal considerations and higher acceptance of societal preventive measures.

  16. Data Loss Prevention Market Size to Reach $56.28 billion by 2030!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, Data Loss Prevention Market Size to Reach $56.28 billion by 2030! [Dataset]. https://www.cognitivemarketresearch.com/data-loss-prevention-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    As per Cognitive Market Research's latest published report, the Global Data Loss Prevention market size will be $56.28 Billion by 2030. Data Loss Prevention Industry's Compound Annual Growth Rate will be 21.54% from 2023 to 2030. What is Driving Data Loss Prevention Market?

    Increasing demand for cloud computing and switching storage of data from on premise to the public and the private platform is anticipated to drive the market. The emerging commercialization is expected to boost the demand for data loss prevention technology. Rising cloud-based business and persistent cyber-attacks are expected to drive the market over the forecasted period. Growing internet penetration rate and increasing dependency on communication sector and requirement of data security from data hackers are anticipated to drive the market for data loss prevention technology.

    Data Loss Prevention Market: Restraints

    Disrupt business processes and decrease employee performance is one of the factors is expected to hamper the growth of the global market. In addition, rigidness and limitations of DLP solutions coupled with complex configuration and management is another factor is restrain the market growth to certain extend.

    Data Loss Prevention Market: Opportunities

    The increasing adoption of BYOD trends in organizations has increased the influx of different laptops, desktops, and smartphones, thus creating other endpoints vulnerable to attacks. Security measures on their own are not enough to stop these threats. The massive growth in the adoption of mobile devices across the world is expected to create significant opportunities during the forecast period

    COVID-19 Impact:

    The COVID-19 pandemic has spread rapidly, and its impact has manifested itself in supply chain disruptions. This has had a negative impact on global economic activity. Surging number of COVID-19 cases across various countries has affected the market growth. The sudden imposition of lockdown restrictions has shut down various manufacturing plants. In addition, supply chains for raw materials such as silicon have been disrupted in several countries. The material is from China. The country was initially impacted by the pandemic, imposing restrictions on the local market, disrupting semiconductor supply chains. Introduction of Data Loss Prevention?

    Data loss prevention software is designed to detect and prevent data breaches by monitoring the data. Data loss Prevention software prevents the accidental loss or transfer of critical data of organization. It provides data security and protects data from data theft and cyber-attack.

  17. Personal Finance Software Market Growth

    • statistics.technavio.org
    Updated Oct 15, 2023
    + more versions
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    Technavio (2023). Personal Finance Software Market Growth [Dataset]. https://statistics.technavio.org/personal-finance-software-market-growth
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    Dataset updated
    Oct 15, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Worldwide
    Description

    Download Free Sample
    The personal finance software market is expected to grow at a CAGR of 4% during the forecast period. Growing dependency on the internet, drivers.2, and drivers.3 are some of the significant factors fueling personal finance software market growth.

    Growing dependency on the internet

    A major driver for this segment is the user-friendliness of personal finance software. It helps in easy management of monetary funds and budget. It eases the revenue inflow and outflow for home businesses in a secure way. It assures data privacy as the vendors offer advanced security features in their personal finance software products. Further, the availability of cost-effective solutions is driving the market for home business users. The shutdown of countless businesses and the subsequent effects of COVID-19 have negatively affected the global economy. Several months into the COVID-19 crisis, some countries have managed to control new cases, while in others, the spread remains extensive. Many countries have reopened their economies, allowing a cautious return to work and economic life. Similarly, home business users are also dealing with financial crises due to the disruption of supply chain and transportation. Such factors have increased the demand for personal finance software. The halt of various business activities has negatively impacted many individuals' income, which, in turn, has put pressure on monthly budgets, EMI outflow, insurance premiums, and investments. In such situations, personal finance software has emerged as a key solution in managing business and other personal financial crisis. This software functions as a dashboard; it tracks the user's transactions and gives an early warning when problems arise. Such factors are expected to drive market growth during the forecast period.

  18. Average number of closed business days by sector of activity in France 2020

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Average number of closed business days by sector of activity in France 2020 [Dataset]. https://www.statista.com/statistics/1196037/number-days-companies-closed-by-sector-france/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    Companies in the arts, entertainment and recreation sector have had to shut down their activity the most, since the beginning of the coronavirus crisis (COVID-19). Companies in this sector have been closed for an average of almost 100 days. The hotel industry was the second sector most affected by closures. The pharmaceutical industry was the least affected by closures. On average, French companies were closed for 57 days in France.

  19. f

    S1 Graphical abstract -

    • plos.figshare.com
    zip
    Updated Apr 18, 2024
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    Avian White; Guy Iverson; LaNika Wright; John T. Fallon III; Kimberly P. Briley; Changhong Yin; Weihua Huang; Charles Humphrey (2024). S1 Graphical abstract - [Dataset]. http://doi.org/10.1371/journal.pone.0289906.s002
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    zipAvailable download formats
    Dataset updated
    Apr 18, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Avian White; Guy Iverson; LaNika Wright; John T. Fallon III; Kimberly P. Briley; Changhong Yin; Weihua Huang; Charles Humphrey
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The COVID-19 outbreak led governmental officials to close many businesses and schools, including colleges and universities. Thus, the ability to resume normal campus operation required adoption of safety measures to monitor and respond to COVID-19. The objective of this study was to determine the efficacy of wastewater-based epidemiology as a surveillance method in monitoring COVID-19 on a college campus. The use of wastewater monitoring as part of a surveillance program to control COVID-19 outbreaks at East Carolina University was evaluated. During the Spring and Fall 2021 semesters, wastewater samples (N = 830) were collected every Monday, Wednesday, and Friday from the sewer pipes exiting the dormitories on campus. Samples were analyzed for SARS-CoV-2 and viral quantification was determined using qRT-PCR. During the Spring 2021 semester, there was a significant difference in SARS-CoV-2 virus copies in wastewater when comparing dorms with the highest number student cases of COVID-19 and those with the lowest number of student cases, (p = 0.002). Additionally, during the Fall 2021 semester it was observed that when weekly virus concentrations exceeded 20 copies per ml, there were new confirmed COVID-19 cases 85% of the time during the following week. Increases in wastewater viral concentration spurred COVID-19 swab testing for students residing in dormitories, aiding university officials in effectively applying COVID testing policies. This study showed wastewater-based epidemiology can be a cost-effective surveillance tool to guide other surveilling methods (e.g., contact tracing, nasal/salvia testing, etc.) to identify and isolate afflicted individuals to reduce the spread of pathogens and potential outbreaks within a community.

  20. Convention & Trade Fair Planning in Bulgaria - Market Research Report...

    • ibisworld.com
    Updated Apr 15, 2024
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    IBISWorld (2024). Convention & Trade Fair Planning in Bulgaria - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/bulgaria/industry/convention-trade-fair-planning/200314/
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    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2014 - 2029
    Area covered
    Bulgaria
    Description

    Revenue in Europe’s Convention and Trade Show Organisations industry is anticipated to drop at a compound annual rate of 7.2% to €30.4 billion over the five years through 2024. The sink in revenue over the period is predominantly due to the significant damage the COVID-19 outbreak inflicted on the sector, as convention and trade show organisations were shut down temporarily or operated at limited capacity. The industry has weathered unfavourable economic headwinds since the COVID-19 outbreak, as inflationary pressures hit the Eurozone, limiting significant investment into new projects, compounded by lacklustre business sentiment. As a result, convention and trade show organisations' revenue is set to decline by 1.5% in 2024. The industry's key clientele is the commercial enterprises whose participation in events like trade shows and conventions mainly depends on their economic outlook. Private individuals are more likely to attend events during a positive consumer climate. This directly influences the appeal for companies to showcase themselves as exhibitors at trade shows. Inflationary pressures are set to ease over 2024, with promising signs in the latter end of 2023 strengthening business and consumer sentiment to the benefit of the industry. Revenue is projected to swell at a compound annual rate of 4.2% over the five years through 2029 to €37,1 billion. The industry is set to benefit from Europe’s improving economy in the coming years as markets stabilise and clients begin to expand investment, requiring the services of convention and trade show organisations. The industry’s growth will be squeezed by growth in telecommunications and digitalisation after consumers were forced onto online teleconferencing amid COVID-19 disruptions to travel. Continued growth in online substitutes to the industry will prove detrimental to the industry, with convention and trade show organisations adapting by implementing their own digitalisation efforts.

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Statista (2023). Shutting down period of Nigerian businesses due to COVID-19 2021 [Dataset]. https://www.statista.com/statistics/1224156/length-of-shutting-down-businesses-in-nigeria-in-january/
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Shutting down period of Nigerian businesses due to COVID-19 2021

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Dataset updated
Jan 24, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Nigeria
Description

Up to 23 percent of businesses were completely closed in January 2021, of which only 1.4 percent remained shut down since the outbreak of the coronavirus (COVID-19). Up to 13 percent of those also closed for at least one month between June and December of the previous year, while the rest opened in December but closed again in January.

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