35 datasets found
  1. Provinces with the most coronavirus (COVID-19) cases in Italy, January 2025

    • statista.com
    Updated Jan 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Provinces with the most coronavirus (COVID-19) cases in Italy, January 2025 [Dataset]. https://www.statista.com/statistics/1109295/provinces-with-most-coronavirus-cases-in-italy/
    Explore at:
    Dataset updated
    Jan 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    Italy
    Description

    As of January 1, 2025, Rome (Lazio) was the Italian province which registered the highest number of coronavirus (COVID-19) cases in the country. Milan (Lombardy) came second in this ranking, while Naples (Campania) and Turin (Piedmont) followed. These four areas are also the four most populated provinces in Italy. The region of Lombardy was the mostly hit by the spread of the virus, recording almost one sixth of all coronavirus cases in the country. The provinces of Milan and Brescia accounted for a large part of this figure. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  2. Number of active coronavirus cases in Italy as of January 2025, by status

    • statista.com
    Updated Jan 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Number of active coronavirus cases in Italy as of January 2025, by status [Dataset]. https://www.statista.com/statistics/1104084/current-coronavirus-infections-in-italy-by-status/
    Explore at:
    Dataset updated
    Jan 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    Italy
    Description

    As of January 1, 2025, the number of active coronavirus (COVID-19) infections in Italy was approximately 218,000. Among these, 42 infected individuals were being treated in intensive care units. Another 1,332 individuals infected with the coronavirus were hospitalized with symptoms, while approximately 217,000 thousand were in isolation at home. The total number of coronavirus cases in Italy reached over 26.9 million (including active cases, individuals who recovered, and individuals who died) as of the same date. The region mostly hit by the spread of the virus was Lombardy, which counted almost 4.4 million cases.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  3. Coronavirus (COVID-19) deaths in Italy as of January 2025, by region

    • statista.com
    Updated Jan 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Coronavirus (COVID-19) deaths in Italy as of January 2025, by region [Dataset]. https://www.statista.com/statistics/1099389/coronavirus-deaths-by-region-in-italy/
    Explore at:
    Dataset updated
    Jan 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    Italy
    Description

    After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, in the following months the country had to face four new harsh waves of contagion. As of January 1, 2025, 198,638 deaths caused by COVID-19 were reported by the authorities, of which approximately 48.7 thousand in the region of Lombardy, 20.1 thousand in the region of Emilia-Romagna, and roughly 17.6 thousand in Veneto, the regions mostly hit. The total number of cases reported in the country reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto counted about 2.9 million cases. Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of November 2023, 85 percent of the total Italian population was fully vaccinated. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  4. f

    DataSheet7_The Representation of Roma in the Romanian Media During COVID-19:...

    • figshare.com
    pdf
    Updated May 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ionut Chiruta (2023). DataSheet7_The Representation of Roma in the Romanian Media During COVID-19: Performing Control Through Discursive-Performative Repertoires.PDF [Dataset]. http://doi.org/10.3389/fpos.2021.663874.s010
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Ionut Chiruta
    License

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

    Area covered
    Romania
    Description

    This article investigates the narratives employed by the Romanian media in covering the development of COVID-19 in Roma communities in Romania. This paper aims to contribute to academic literature on Romani studies, particularly in Central and Eastern Europe, by adopting as its case study the town of Ţăndărei, a small town in the south of Romania, which in early 2020 was widely reported by Romanian media during both the pre- and post-quarantine period. The contributions rest on anchoring the study in post-foundational theory and media studies to understand the performativity of Roma identity and the discursive-performative practices of control employed by the Romania media in the first half of 2020. Aroused by the influx of ethnic Romani returning from Western Europe, the Romanian mainstream media expanded its coverage through sensationalist narratives and depictions of lawlessness and criminality. These branded the ethnic minority as a scapegoat for the spreading of the virus. Relying on critical social theory, this study attempts to understand how Roma have been portrayed during the Coronavirus crisis. Simultaneously, this paper resonates with current Roma theories about media discourses maintaining and reinforcing a sense of marginality for Roma communities. To understand the dynamics of Romanian media discourses, this study employs NVivo software tools and language-in-use discourse analysis to examine the headlines and sub headlines of approximately 300 articles that have covered COVID-19 developments in Roma communities between February and July 2020. The findings from the study indicate that the media first focused on exploiting the sensationalism of the episodes involving Roma. Second, the media employed a logic of polarization to assist the authorities in retaking control of the pandemic and health crisis from Romania. The impact of the current study underlines the need to pay close attention to the dynamics of crises when activating historical patterns of stigma vis-à-vis Roma communities in Eastern Europe.

  5. Coronavirus (COVID-19) new cases in Italy as of January 2025, by date of...

    • statista.com
    Updated Jan 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Coronavirus (COVID-19) new cases in Italy as of January 2025, by date of report [Dataset]. https://www.statista.com/statistics/1101690/coronavirus-new-cases-development-italy/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 22, 2020 - Jan 8, 2025
    Area covered
    Italy
    Description

    The first two cases of the new coronavirus (COVID-19) in Italy were recorded between the end of January and the beginning of February 2020. Since then, the number of cases in Italy increased steadily, reaching over 26.9 million as of January 8, 2025. The region mostly hit by the virus in the country was Lombardy, counting almost 4.4 million cases. On January 11, 2022, 220,532 new cases were registered, which represented the biggest daily increase in cases in Italy since the start of the pandemic. The virus originated in Wuhan, a Chinese city populated by millions and located in the province of Hubei. More statistics and facts about the virus in Italy are available here.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  6. Coronavirus (COVID-19) deaths in Italy as of January 2025

    • statista.com
    Updated Jan 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Coronavirus (COVID-19) deaths in Italy as of January 2025 [Dataset]. https://www.statista.com/statistics/1104964/coronavirus-deaths-since-february-italy/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 24, 2020 - Jan 8, 2025
    Area covered
    Italy
    Description

    Since the spread of the coronavirus (COVID-19) in Italy, started in February 2020, many people who contracted the infection died. The number of deaths amounted to 198,683 as of January 8, 2025. On December 3, 2020, 993 patients died, the highest daily toll since the start of the pandemic. The region with the highest number of deaths was Lombardy, which is also the region that registered the highest number of coronavirus cases. Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of November 2023, roughly 85 percent of the total Italian population was fully vaccinated. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  7. Coarse-grained molecular dynamics simulations of SARS-CoV-2 envelope protein...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Mar 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kuzmin Alexander; Kuzmin Alexander; Orekhov Philipp; Orekhov Philipp; Astashkin Roman; Astashkin Roman; Gordeliy Valentin; Gordeliy Valentin; Gushchin Ivan; Gushchin Ivan (2024). Coarse-grained molecular dynamics simulations of SARS-CoV-2 envelope protein E [Dataset]. http://doi.org/10.5281/zenodo.4740706
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 2, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kuzmin Alexander; Kuzmin Alexander; Orekhov Philipp; Orekhov Philipp; Astashkin Roman; Astashkin Roman; Gordeliy Valentin; Gordeliy Valentin; Gushchin Ivan; Gushchin Ivan
    License

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

    Description

    The trajectories of coarse-grained (CG) molecular dynamics (MD) simulations of
    1) unmodified (NoPTM_POPC_Martini3b: 0.5 & 2.5 μs);
    2) palmitoylated (CYSP40, CYSP43, CYSP 44, CYSP40/43, CYSP 40/44, CYSP 43/44, CYSP40/43/44_POPC_Martini3b: 0.5 μs);
    3) glycosylated (ASNG66: 0.5 μs)
    SARS-CoV-2 E protein in the monomeric form in a POPC bilayer.

    The trajectories of CG MD (TMD;H2H3_NoPTM_POPC_Martini3b: 0.5 μs) of systems containing artificial proteins consisting of only transmembrane domain (TMD) or only cytoplasmic domain (H2H3) in a POPC bilayer.

    The trajectory of CG MD (4xNoPTM_POPC_Martini3b: 0.5 mks) of the system containing 4 proteins with centers of mass fixed in the plane of the POPC bilayer (XY).

    The trajectories of CG MD of systems containing 2 proteins in the membranes buckled in a single direction (CurvedMembrane1;2X_2xNoPTM_POPC_Martini3b: 1 μs) and in the membrane buckled in both directions (CurvedMembraneXY_2xNoPTM_POPC_Martini3b: 1 μs).

    Simulations have been performed using the beta version of Martini 3 (CG) force field, running with the GROMACS 2020.1 under the conditions reported in bioRxiv 2021.03.10.434722.

  8. All-atom molecular dynamics simulations of SARS-CoV-2 envelope protein E

    • zenodo.org
    zip
    Updated Mar 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kuzmin Alexander; Kuzmin Alexander; Orekhov Philipp; Orekhov Philipp; Astashkin Roman; Astashkin Roman; Gordeliy Valentin; Gordeliy Valentin; Gushchin Ivan; Gushchin Ivan (2024). All-atom molecular dynamics simulations of SARS-CoV-2 envelope protein E [Dataset]. http://doi.org/10.5281/zenodo.4743386
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 2, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kuzmin Alexander; Kuzmin Alexander; Orekhov Philipp; Orekhov Philipp; Astashkin Roman; Astashkin Roman; Gordeliy Valentin; Gordeliy Valentin; Gushchin Ivan; Gushchin Ivan
    License

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

    Description

    The trajectories of all-atom (AA) MD simulations (NoPTM-1;2;3;4_POPC;Mix_CHARMM36m: 0.1x3 μs) were obtained based on 4 starting representative conformations from the coarse-grained simulation (10.5281/zenodo.4740706). For each starting structure, there are six trajectories of the E protein: 3 with the protein embedded in the membrane containing POPC, and 3 with the membrane mimicking the natural ERGIC membrane (Mix: 50% POPC, 25% POPE, 10% POPI, 5% POPS, 10% cholesterol).

    Simulations have been performed using the CHARMM36m (AA) force field, running with the GROMACS 2019.5 package on the supercomputer JURECA at Forschungszentrum Jülich.

  9. m

    AI im Roman Coronavirus pneumoniaai im Roman Coronavirus pneumoniaai auf dem...

    • marketresearchintellect.com
    Updated May 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Intellect (2025). AI im Roman Coronavirus pneumoniaai im Roman Coronavirus pneumoniaai auf dem Roman Coronavirus Pneumonia Market Größen-, Anteils- und Branchenanalyse 2033 [Dataset]. https://www.marketresearchintellect.com/de/product/global-ai-in-novel-coronavirus-pneumoniaai-in-novel-coronavirus-pneumoniaai-in-novel-coronavirus-pneumonia-market-size-and-forecast/
    Explore at:
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/de/privacy-policyhttps://www.marketresearchintellect.com/de/privacy-policy

    Area covered
    Global
    Description

    Discover the latest insights from Market Research Intellect's Ai In Novel Coronavirus Pneumoniaai In Novel Coronavirus Pneumoniaai In Novel Coronavirus Pneumonia Market Report, valued at USD 3.5 billion in 2024, with significant growth projected to USD 7.8 billion by 2033 at a CAGR of 10.5% (2026-2033).

  10. A blood atlas of COVID-19 defines hallmarks of disease severity and...

    • data.niaid.nih.gov
    • ebi.ac.uk
    xml
    Updated Feb 22, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Roman Fischer; Roman Fischer (2022). A blood atlas of COVID-19 defines hallmarks of disease severity and specificity [Dataset]. https://data.niaid.nih.gov/resources?id=pxd023175
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Feb 22, 2022
    Dataset provided by
    Discovery Proteomics Facility Target Discovery Institute University of Oxford
    University of Oxford
    Authors
    Roman Fischer; Roman Fischer
    Variables measured
    Proteomics
    Description

    Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete description of specific immune biomarkers. We present here a comprehensive multi-omic blood atlas for patients with varying COVID-19 severity in an integrated comparison with influenza and sepsis patients versus healthy volunteers. We identify immune signatures and correlates of host response. Hallmarks of disease severity involved cells, their inflammatory mediators and networks, including progenitor cells and specific myeloid and lymphocyte subsets, features of the immune repertoire, acute phase response, metabolism and coagulation. Persisting immune activation involving AP-1/p38MAPK was a specific feature of COVID-19. The plasma proteome enabled sub-phenotyping into patient clusters, predictive of severity and outcome. Systems based integrative analyses including tensor and matrix decomposition of all modalities revealed feature groupings linked with severity and specificity compared to influenza and sepsis. Our approach and blood atlas will support future drug development, clinical trial design and personalized medicine approaches for COVID-19.

  11. d

    Database of the official acts of Regional Offices of Public Health (ROPH)...

    • search.dataone.org
    Updated Nov 8, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Surova, Svetluša (2023). Database of the official acts of Regional Offices of Public Health (ROPH) targeting Marginalized Roma Communities (MRCs) in the first and second wave of the COVID-19 pandemic in Slovakia [Dataset]. http://doi.org/10.7910/DVN/IVNES9
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Surova, Svetluša
    Description

    Database of the official acts of Regional Offices of Public Health (ROPH) targeting Marginalized Roma Communities (MRCs) in the first and second wave of the COVID-19 pandemic in Slovakia. The database serves as supplementary material for the forthcoming chapter “Targeting Marginalized Roma Communities in Slovakia: An analysis of official measures during the Covid-19 pandemic”.

  12. m

    Complète Roman du coronavirus Covid 19 Marché de la drogue Taille, part et...

    • marketresearchintellect.com
    Updated Jun 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Intellect (2025). Complète Roman du coronavirus Covid 19 Marché de la drogue Taille, part et perspectives sectorielles 2033 [Dataset]. https://www.marketresearchintellect.com/fr/product/global-novel-coronavirus-covid-19-drugs-market-size-and-forecast/
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/fr/privacy-policyhttps://www.marketresearchintellect.com/fr/privacy-policy

    Area covered
    Global
    Description

    Learn more about Market Research Intellect's Novel Coronavirus Covid 19 Drugs Market Report, valued at USD 85 billion in 2024, and set to grow to USD 120 billion by 2033 with a CAGR of 4.5% (2026-2033).

  13. Data from: Comparing the first and second waves of COVID-19 in a tertiary...

    • zenodo.org
    • datadryad.org
    bin
    Updated Jun 5, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yolima Cossio Gil; Marta-Beatriz Aller Hernandez; Maria José Abadías; Jose-Manuel Domínguez; Maria-Soledad Romea; Maria-Àngels Barba; Maria-Isabel Rodríguez; Antonio Roman; Albert Salazar; Yolima Cossio Gil; Marta-Beatriz Aller Hernandez; Maria José Abadías; Jose-Manuel Domínguez; Maria-Soledad Romea; Maria-Àngels Barba; Maria-Isabel Rodríguez; Antonio Roman; Albert Salazar (2022). Comparing the first and second waves of COVID-19 in a tertiary university hospital in Barcelona [Dataset]. http://doi.org/10.5061/dryad.0k6djhb1d
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 5, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yolima Cossio Gil; Marta-Beatriz Aller Hernandez; Maria José Abadías; Jose-Manuel Domínguez; Maria-Soledad Romea; Maria-Àngels Barba; Maria-Isabel Rodríguez; Antonio Roman; Albert Salazar; Yolima Cossio Gil; Marta-Beatriz Aller Hernandez; Maria José Abadías; Jose-Manuel Domínguez; Maria-Soledad Romea; Maria-Àngels Barba; Maria-Isabel Rodríguez; Antonio Roman; Albert Salazar
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Barcelona
    Description

    Objectives

    To compare the flow of COVID-19 patients in emergency rooms and hospital wards between the pandemic; first and second waves; at the University Hospital of Vall d'Hebron (Barcelona, Spain), and to compare the profiles, severity and mortality of COVID-19 patients between the two waves.

    Methods

    Retrospective observational analysis of COVID-19 patients attending the hospital from February 24 to April 26, 2020 (first wave) and from July 24, 2020, to May 18, 2021 (second wave). We analysed the data of the Electronic Medical Records on patient demographics, comorbidity, severity and mortality.

    Results

    The daily number of COVID-19 patients entering the ER dropped by 65% during the second wave compared to the first wave. During the second wave, patients entering the ER were significantly younger (61 vs 63 y.o. p<0.001) and less severely affected (39% vs 48% with a triage level of resuscitation or emergency; p<0.001). ER mortality declined during the second wave (1% vs 2%; p<0.000). The daily number of hospitalised COVID-19 patients dropped by 75% during the second wave. Those hospitalised during the second wave were more severely affected (20% vs. 10%; p<0.001) and were derived to the intensive care unit (ICU) more frequently (21% vs 15%; p<0.001). Inpatient mortality showed no significant difference between the two waves.

    Conclusions

    Changes in the flow, severity and mortality of COVID-19 patients entering this tertiary hospital during the two waves may reflect a better adaptation of the health system and the improvement of knowledge on the disease.

  14. Active coronavirus (COVID-19) cases in Italy as of January 2025

    • statista.com
    Updated Jan 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Active coronavirus (COVID-19) cases in Italy as of January 2025 [Dataset]. https://www.statista.com/statistics/1106379/coronavirus-active-cases-development-italy/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 15, 2020 - Jan 8, 2025
    Area covered
    Italy
    Description

    Italy went through five coronavirus waves during the pandemic. As of January 8, 2025, the number of active coronavirus cases in the country was equal to approximately 203,305. On January 23, 2022, there were 2,734,906 active infections in Italy, the highest figure since the start of the pandemic. Furthermore, the total number of cases (including active cases, recoveries, and deaths) in Italy reached 26.9 million, with the region mostly hit by the virus in the country being Lombardy. Despite this notably high number of infections, deaths and hospitalizations remain rather low, thanks to a very high vaccination rate. The virus originated in Wuhan, a Chinese city populated by millions and located in the province of Hubei. More statistics and facts about the virus in Italy are available here.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  15. Leading airports by passenger numbers in Italy 2020

    • ai-chatbox.pro
    • statista.com
    Updated Jan 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Leading airports by passenger numbers in Italy 2020 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F3690%2Ftransportation-industry-in-italy%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Italy
    Description

    This statistic compares the passenger flow of Italy's busiest airports in 2019 and 2020. In 2019, Rome's Fiumicino Airport saw the most passengers with over 43.3 million passengers handled. However, in 2020, due to the coronavirus pandemic, the number of passengers traveling through Rome Fiumicino Airport was dramatically reduced to only 9.75 million.

  16. Data from: Investigation of superspreading COVID-19 outbreak events in meat...

    • zenodo.org
    bin
    Updated Apr 15, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Roman Pokora; Roman Pokora; Susan Kutschbach; Matthias Weigl; Detlef Braun; Annegret Epple; Eva Lorenz; Eva Lorenz; Stefan Grund; Jürgen Hecht; Helmut Hollich; Peter Rietschel; Frank Schneider; Roland Sohmen; Katherine Taylor; Isabel Dienstbühl; Susan Kutschbach; Matthias Weigl; Detlef Braun; Annegret Epple; Stefan Grund; Jürgen Hecht; Helmut Hollich; Peter Rietschel; Frank Schneider; Roland Sohmen; Katherine Taylor; Isabel Dienstbühl (2021). Investigation of superspreading COVID-19 outbreak events in meat and poultry processing plants in Germany: A cross-sectional study [Dataset]. http://doi.org/10.5281/zenodo.4692642
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 15, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Roman Pokora; Roman Pokora; Susan Kutschbach; Matthias Weigl; Detlef Braun; Annegret Epple; Eva Lorenz; Eva Lorenz; Stefan Grund; Jürgen Hecht; Helmut Hollich; Peter Rietschel; Frank Schneider; Roland Sohmen; Katherine Taylor; Isabel Dienstbühl; Susan Kutschbach; Matthias Weigl; Detlef Braun; Annegret Epple; Stefan Grund; Jürgen Hecht; Helmut Hollich; Peter Rietschel; Frank Schneider; Roland Sohmen; Katherine Taylor; Isabel Dienstbühl
    License

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

    Description

    Since May 2020, several COVID-19 outbreaks have occurred in the German meat industry despite various protective measures, and temperature and ventilation conditions were considered as possible high-risk factors. This cross-sectional study examined meat and poultry plants to assess possible risk factors.

    Companies completed a self-administered questionnaire on the work environment and protective measures taken to prevent SARS-CoV-2 infection. Multivariable logistic regression analysis adjusted for the possibility to distance at least 1.5 meters, break rules, and employment status was performed to identify risk factors associated with COVID-19 cases.

    Twenty-two meat and poultry plants with 19,072 employees participated. The prevalence of COVID-19 in the seven plants with more than 10 cases was 12.1% and was highest in the deboning and meat cutting area with 16.1%. A subsample analysis where information on maximal ventilation rate per employee was available revealed an association with the ventilation rate (adjusted odds ratio (AOR) 0.996, 95% CI 0.993-0.999). When including temperature as an interaction term in the working area, the association with the ventilation rate did not change. When room temperatures increased, the chance of testing positive for COVID-19 (AOR 0.90 95% CI 0.82-0.99) decreased, and the chance for testing positive for COVID-19 for the interaction term (AOR 1.001, 95% CI 1.000-1.003) increased. Employees who work where a minimum distance of less than 1.5 m between workers was the norm had a higher chance of testing positive (AOR 3.61; 95% CI 2.83-4.6).

    Our results further indicate that climate conditions and low outdoor air flow are factors that can promote the spread of SARS-CoV-2 aerosols. A possible requirement for pandemic mitigation strategies in industrial workplace settings is to increase the ventilation rate.

  17. Inbound overnight stays in accommodation establishments in Rome 2013-2020

    • statista.com
    Updated Jan 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Inbound overnight stays in accommodation establishments in Rome 2013-2020 [Dataset]. https://www.statista.com/statistics/749984/inbound-overnight-stays-in-the-accommodation-facilities-in-rome-italy/
    Explore at:
    Dataset updated
    Jan 31, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    The number of inbound overnight stays in tourist establishments in Rome, Italy, dropped sharply in 2020 over the previous year due to the coronavirus (COVID-19) pandemic. Overall, overnight stays by inbound travelers in Rome totaled roughly four million in 2020, declining from over 26 million in 2019.

  18. f

    DataSheet9_The Representation of Roma in the Romanian Media During COVID-19:...

    • frontiersin.figshare.com
    pdf
    Updated May 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ionut Chiruta (2023). DataSheet9_The Representation of Roma in the Romanian Media During COVID-19: Performing Control Through Discursive-Performative Repertoires.PDF [Dataset]. http://doi.org/10.3389/fpos.2021.663874.s012
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Ionut Chiruta
    License

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

    Area covered
    Romania
    Description

    This article investigates the narratives employed by the Romanian media in covering the development of COVID-19 in Roma communities in Romania. This paper aims to contribute to academic literature on Romani studies, particularly in Central and Eastern Europe, by adopting as its case study the town of Ţăndărei, a small town in the south of Romania, which in early 2020 was widely reported by Romanian media during both the pre- and post-quarantine period. The contributions rest on anchoring the study in post-foundational theory and media studies to understand the performativity of Roma identity and the discursive-performative practices of control employed by the Romania media in the first half of 2020. Aroused by the influx of ethnic Romani returning from Western Europe, the Romanian mainstream media expanded its coverage through sensationalist narratives and depictions of lawlessness and criminality. These branded the ethnic minority as a scapegoat for the spreading of the virus. Relying on critical social theory, this study attempts to understand how Roma have been portrayed during the Coronavirus crisis. Simultaneously, this paper resonates with current Roma theories about media discourses maintaining and reinforcing a sense of marginality for Roma communities. To understand the dynamics of Romanian media discourses, this study employs NVivo software tools and language-in-use discourse analysis to examine the headlines and sub headlines of approximately 300 articles that have covered COVID-19 developments in Roma communities between February and July 2020. The findings from the study indicate that the media first focused on exploiting the sensationalism of the episodes involving Roma. Second, the media employed a logic of polarization to assist the authorities in retaking control of the pandemic and health crisis from Romania. The impact of the current study underlines the need to pay close attention to the dynamics of crises when activating historical patterns of stigma vis-à-vis Roma communities in Eastern Europe.

  19. Cancellation levels of short-term rentals due to COVID-19 in Italian cities...

    • statista.com
    Updated Apr 30, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2020). Cancellation levels of short-term rentals due to COVID-19 in Italian cities 2020-2021 [Dataset]. https://www.statista.com/statistics/1116661/cancellation-levels-of-short-term-rentals-due-to-coronavirus-in-italian-cities/
    Explore at:
    Dataset updated
    Apr 30, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 11, 2020 - Jan 12, 2021
    Area covered
    Italy
    Description

    The coronavirus (COVID-19) pandemic had a significant impact on the short-term rental market in Italy between February and August 2020. On *******, a week before the beginning of the country's lockdown, the cancellation level in Bergamo skyrocketed. On ********, one day after the start of the lockdown, the ratio of cancellations versus bookings in Florence reached *** percent, meaning that there were almost eight times more cancellations thank bookings. Similarly, this ratio in Rome and Venice reached *** and *** percent, respectively.

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

  20. Impact of coronavirus (COVID-19) on RevPar of hotels in European capitals...

    • statista.com
    Updated Jun 27, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Impact of coronavirus (COVID-19) on RevPar of hotels in European capitals 2020 [Dataset]. https://www.statista.com/statistics/1139556/impact-of-covid-19-on-hotel-revpars-in-european-cities/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2020 - Mar 2020
    Area covered
    Europe
    Description

    The coronavirus (COVID-19) pandemic is having a damaging impact on the hotel industry across Europe. The first case of coronavirus was confirmed on January 24 in France, shortly followed by other European countries. In February, the impact on revenues per available room (RevPar) in European capitals was still relatively small, with the exception of Prague and Rome. By March, lockdowns and restrictions on unnecessary travel were implemented in other countries in Europe, resulting in negative results across the capitals; Rome experienced an 86 percent drop in RevPar in March, while hotels in Prague recorded a 78 percent decline.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Provinces with the most coronavirus (COVID-19) cases in Italy, January 2025 [Dataset]. https://www.statista.com/statistics/1109295/provinces-with-most-coronavirus-cases-in-italy/
Organization logo

Provinces with the most coronavirus (COVID-19) cases in Italy, January 2025

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 1, 2025
Area covered
Italy
Description

As of January 1, 2025, Rome (Lazio) was the Italian province which registered the highest number of coronavirus (COVID-19) cases in the country. Milan (Lombardy) came second in this ranking, while Naples (Campania) and Turin (Piedmont) followed. These four areas are also the four most populated provinces in Italy. The region of Lombardy was the mostly hit by the spread of the virus, recording almost one sixth of all coronavirus cases in the country. The provinces of Milan and Brescia accounted for a large part of this figure. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Search
Clear search
Close search
Google apps
Main menu