100+ datasets found
  1. o

    COVID-19 Pandemic - Germany - Data by Landkreise

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, geojson +1
    Updated Jun 2, 2023
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    (2023). COVID-19 Pandemic - Germany - Data by Landkreise [Dataset]. https://public.opendatasoft.com/explore/dataset/covid-19-germany-landkreise/
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    json, excel, csv, geojsonAvailable download formats
    Dataset updated
    Jun 2, 2023
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Germany
    Description

    This dataset contains data regarding COVID-19 cases in Germany by Landkreise (district). It was originally published by the Robert Koch-Institut (RKI).For each Landkreis, data is available about: number of cases (cumulative), number of cases per 100 000 persons (cumulative or only the last seven days), percentage of cases (cumulative number of cases among the Landkreis population), number of deaths (cumulative) and death rate (percentage of deaths among the cases).The dataset also contains various geo-administrative information, such as populations, geographical shapes and administrative codes.Enrichment:Dates given in German format have been converted to ISO datetime.

  2. Coronavirus (COVID-19) illness cases and deaths Germany 2024

    • statista.com
    Updated Jan 20, 2025
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    Statista (2025). Coronavirus (COVID-19) illness cases and deaths Germany 2024 [Dataset]. https://www.statista.com/statistics/1105216/coronavirus-covid-19-illness-and-death-cases-germany/
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    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The coronavirus (COVID-19) has spread through Germany between 2020 and 2024. As of April 2024, there were over 38.8 million cases recorded in the country. . Click here for more statistical data and facts on the coronavirus.

  3. Number of new confirmed coronavirus (COVID-19) cases and deaths in Germany...

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Number of new confirmed coronavirus (COVID-19) cases and deaths in Germany 2023 [Dataset]. https://www.statista.com/statistics/1100823/coronavirus-cases-development-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The coronavirus (COVID-19) epidemic in Germany began in March 2020, with high new daily case numbers still being recorded during 2023. The pandemic is ongoing.

    Staying home

    The coronavirus (COVID-19) outbreak was declared a pandemic by the World Health Organisation on March 11, 2020. This declaration immediately impacted life in Germany on all levels. Rising coronavirus (COVID-19) case numbers in March-April led to the swift implementation of nationwide distancing and crowd control measures to stop further spread of the virus, which primarily transferred most easily from person to person. From a large-scale economic shutdown, venue, school, daycare and university closures, to social distancing and the contact ban officially implemented by the German government, seemingly in the space of days life as the population knew it came to a standstill in the whole country.

    Unlockdown

    Later in April 2020, Germany began easing some of the restrictions related to the coronavirus (COVID-19) outbreak as case numbers began to drop. Elements of uncertainty remain and touch on various aspects, for example, regarding national mental and physical health, both among adults and children, the possibility of long-term effects from the virus, immunity. A rising worry among European nations was economic recovery.

  4. Coronavirus (COVID-19) death numbers by gender and age Germany 2024

    • statista.com
    Updated Jan 20, 2025
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    Coronavirus (COVID-19) death numbers by gender and age Germany 2024 [Dataset]. https://www.statista.com/statistics/1105512/coronavirus-covid-19-deaths-by-gender-germany/
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    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The coronavirus (COVID-19) has led to over 183,000 deaths in Germany, as of 2024. When looking at the distribution of deaths by age, based on the figures currently available, most death occurred in the age group 80 years and older at approximately 118,938 deaths.

  5. Pandemic severity indicator for COVID-19 in Germany dataset

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Jul 24, 2023
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    Andreas Kuebart; Andreas Kuebart; Martin Stabler; Martin Stabler (2023). Pandemic severity indicator for COVID-19 in Germany dataset [Dataset]. http://doi.org/10.5281/zenodo.8004580
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    csvAvailable download formats
    Dataset updated
    Jul 24, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Andreas Kuebart; Andreas Kuebart; Martin Stabler; Martin Stabler
    License

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

    Area covered
    Germany
    Description

    The datasets included in this repository represent a pandemic severity indicator for the COVID-19 pandemic in Germany based on a composite indicator for the years 2020 and 2021. The pandemic severity index consists of three indicators: the incidence of patients tested positive for COVID-19, the incidence of patients with COVID-19 in intensive care, and the incidence of registered deaths due to COVID-19. The datasets have been developed within the CODIFF project (Socio-Spatial Diffusion of COVID-19 in Germany) at Leibniz Insitute for Research on Society and Space. The project received funding by Deutsche Forschungsgemeinschaft (DFG, project number 492338717). The datasets have been used in the following publications, in which further methodological details on the indicator can be found:

    This repository consists of two files:

    pandemic_severity_germany

    This table contains the composite indicator for daily pandemic severity for Germany on the national scale as well as the three sub-indicators for each day between 2020-03-01 and 2021-12-31. The sub-indicators were sourced from the Robert Koch Institute, the German government agency responsible for disease control and prevention.

    pandemic_severity_counties

    This table contains the composite indicator for daily pandemic severity for Germany on the level of the 400 individual counties, as well as the three sub-indicators for each day between 2020-03-01 and 2021-12-31. The sub-indicators were sourced from the Robert Koch Institute, the German government agency responsible for disease control and prevention. The counties can be identified by name (kreis) or by county identification number (ags5)

  6. Coronavirus (COVID-19) tracing app downloads in Germany 2020-2023

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Coronavirus (COVID-19) tracing app downloads in Germany 2020-2023 [Dataset]. https://www.statista.com/statistics/1127547/coronavirus-covid-19-tracing-app-downloads-by-os-germany/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 28, 2020 - Apr 4, 2023
    Area covered
    Germany
    Description

    As of April 2023, the coronavirus (COVID-19) tracing app was downloaded almost 21.56 million times from the Apple App Store, while the Google Play Store recorded around 27.07 million downloads. This is an official coronavirus tracing app, developed by the German government and available since June 2020. The app is voluntary.

  7. Retail Savings and Investments in Germany - (COVID-19) Impact Snapshot

    • store.globaldata.com
    Updated Jul 30, 2020
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    GlobalData UK Ltd. (2020). Retail Savings and Investments in Germany - (COVID-19) Impact Snapshot [Dataset]. https://store.globaldata.com/report/retail-savings-and-investments-in-germany-covid-19-impact-snapshot/
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    Dataset updated
    Jul 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Europe, Germany
    Description

    The Coronavirus (SARS-CoV-2) outbreak, dubbed COVID-19, is first and foremost a human tragedy, affecting millions of people globally. The contagious Coronavirus, which broke out at the close of 2019, has led to a medical emergency across the world, with the World Health Organization officially declaring the novel Coronavirus a pandemic on March 11, 2020. Read More

  8. Employees working from home before and during COVID-19 Germany 2020, by...

    • flwrdeptvarieties.store
    • statista.com
    Updated Jan 13, 2025
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    Evgenia Koptyug (2025). Employees working from home before and during COVID-19 Germany 2020, by company size [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F9051%2Fremote-work-in-germany%2F%23zUpilBfjadnZ6q5i9BcSHcxNYoVKuimb
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    Dataset updated
    Jan 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Evgenia Koptyug
    Area covered
    Germany
    Description

    In 2020, 76 percent of German companies had their employees regularly work from home during the coronavirus (COVID-19) pandemic. In companies with over 500 employees, this was the case for 97 percent.

  9. Coronavirus (COVID-19) case numbers by age group and gender in Germany 2023

    • statista.com
    Updated Jan 20, 2025
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    Statista (2025). Coronavirus (COVID-19) case numbers by age group and gender in Germany 2023 [Dataset]. https://www.statista.com/statistics/1105465/coronavirus-covid-19-cases-age-group-germany/
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    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Germany
    Description

    In 2023, the coronavirus (COVID-19) is still present in Germany, affecting all of its federal states. Case numbers vary across age groups and genders. Based on current figures, among men, the most affected age group was 35-59 years. The same was true for women. These figures confirm that the virus can also affect younger age groups.

  10. d

    Crisis Barometer on the COVID 19 Pandemic in Germany - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 22, 2023
    + more versions
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    (2023). Crisis Barometer on the COVID 19 Pandemic in Germany - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/e11f0c99-66a1-5f58-87f6-855353240747
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    Dataset updated
    Oct 22, 2023
    Area covered
    Germany
    Description

    The crisis barometer on the COVID-19 pandemic in Germany was conducted by USUMA on behalf of the Konrad Adenauer Foundation. During the survey period from 30.03.2020 to 04.07.2020, 4228 respondents aged 18 and over living in private households in Germany were interviewed by telephone (CATI) on the following topics: pessimism/optimism; trust in institutions, crisis competence of political parties, effects of the Corona crisis, reception of news about Corona, Corona disease, Sunday question. Respondents were selected through multi-stage random sampling from an ADM selection frame including landline and mobile numbers (dual-frame sampling). The study was conducted week-by-week as a rolling cross-section survey. Pessimism or optimism about the future in general and for Germany; party preference (Sunday question); confidence in institutions (state government of the federal state, federal government, European Union, federal armed forces, police, health authorities, authorities, courts, German Bundestag); most competent party to deal with the crisis; assessment of measures as appropriate, going too far, or not going far enough; expected extent of the impact of the Corona crisis for the respondent; reception frequency of news about the Corona crisis; respondent has contracted the Corona virus COVID 19 himself; number of people in his circle of acquaintances who have tested positive for the Corona virus. Demography: sex; age; education; employment status; federal state; number of people 18 years and older who also regularly use the cell phone used; number of cell phone numbers used to reach the respondent by phone; number of landline phone numbers; household size. Additionally coded were: respondent ID; day of interview; weighting factor. Das Krisenbarometer zur COVID-19-Pandemie in Deutschland wurde von USUMA im Auftrag der Konrad-Adenauer-Stiftung durchgeführt. Im Erhebungszeitraum vom 30.03.2020 bis 04.07.2020 wurden 4228 in Privathaushalten in Deutschland lebende Prsonen ab 18 Jahren in telefonischen Interviews (CATI) zu folgenden Themen befragt: Pessimismus/Optimismus; Institutionenvertrauen, Krisenkompetenz der Parteien, Auswirkungen der Corona-Krise, Rezeption von Nachrichten über Corona, Corona-Erkrankung, Sonntagsfrage. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsauswahl aus einem ADM-Auswahlrahmen unter Einschluss von Festnetz- und Mobilfunknummern (Dual-Frame Stichprobe). Die Studie wurde wochenweise als Rolling-Cross-Section Survey durchgeführt. Pessimismus oder Optimismus im Hinblick auf die Zukunft allgemein und für Deutschland; Parteipräferenz (Sonntagsfrage); Institutionenvertrauen (Landesregierung des Bundeslandes, Bundesregierung, Europäische Union, Bundeswehr, Polizei, Gesundheitsamt, Behörden, Gerichte, Deutscher Bundestag); kompetenteste Partei zur Bewältigung der Krise; Bewertung der Maßnahmen als angemessen, gehen zu weit oder gehen nicht weit genug; erwartetes Ausmaß der Auswirkungen der Corona-Krise für den Befragten; Rezeptionshäufigkeit von Nachrichten über die Corona-Krise; Befragter ist selbst am Corona-Virus COVID 19 erkrankt; Anzahl der positiv auf das Corona-Virus getesteten Menschen im Bekanntenkreis. Demographie: Geschlecht; Alter; Bildung; Erwerbsstatus; Bundesland; Anzahl Personen ab 18 Jahren, die das genutzte Handy ebenfalls regelmäßig nutzen; Anzahl der Handynummern, über die der Befragte telefonisch erreichbar ist; Anzahl der Festnetz-Rufnummern; Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Befragungstag; Gewichtungsfaktor.

  11. h

    RKI COVID-19 Data for German federal states

    • health-atlas.de
    • health-atlas.eu
    Updated Sep 11, 2020
    + more versions
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    Robert Koch Institute (2020). RKI COVID-19 Data for German federal states [Dataset]. https://www.health-atlas.de/data_files/290
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    Dataset updated
    Sep 11, 2020
    Authors
    Robert Koch Institute
    Area covered
    Germany
    Description

    Feature service with the current Covid-19 infections per 100,000 inhabitants on the German federal states. The service is updated daily with the current case numbers of the Robert Koch Institute.

    Data source: Robert Koch Institute Terms of Use: Robert Koch Institute; German Federal Agency for Cartography and Geodesy Source note: Robert Koch-Institute (RKI), dl-en/by-2-0 Disclaimer: "The content made available on the Internet pages of the Robert Koch-Institute is intended solely for the general information of the public, primarily the specialist public". Data protection declaration: "The use of the RKI website is generally possible without disclosing personal data".

  12. H

    Germany COVID-19 Case Data with Basemap (STC)

    • dataverse.harvard.edu
    Updated Aug 18, 2020
    + more versions
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    NSF Spatiotemporal Innovation Center (2020). Germany COVID-19 Case Data with Basemap (STC) [Dataset]. http://doi.org/10.7910/DVN/8QRD95
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 18, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    NSF Spatiotemporal Innovation Center
    License

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

    Area covered
    Germany
    Description

    Case data from 02-29-2020 to 08-16-2020, this data repository stores COVID-19 virus case data for Germany, including the daily case, summary data, and base map. Each zip file contains weekly case data from Monday to Sunday.

  13. o

    7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

    • explore.openaire.eu
    • data.niaid.nih.gov
    • +1more
    Updated Jan 15, 2023
    + more versions
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    Robert Koch-Institut (2023). 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland [Dataset]. http://doi.org/10.5281/zenodo.7538061
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    Dataset updated
    Jan 15, 2023
    Authors
    Robert Koch-Institut
    Area covered
    Germany
    Description

    Im Datensatz '7-Tage-Inzidenz von COVID-19 in Deutschland' werden die aktuellen 7-Tage-Inzidenzen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - an das RKI übermittelten COVID-19-Fälle veröffentlicht. Datengrundlage zur Berechnung der 7-Tage-Inzidenzen sind die an das RKI übermittelten COVID-19-Fälle. Eine detaillierte Dokumentation zur Erhebung der Daten zum Infektionsgeschehen ist im Datensatz 'SARS-CoV-2-Infektionen in Deutschland' enthalten. Die für die Berechnung der 7-Tage-Inzidenz notwendigen Bevölkerungsdaten bezieht das RKI durch das Statistisches Bundesamt (Destatis), Referat F24 | Bevölkerungsfortschreibung, Ausländer- und Integrationsstatistiken.

  14. d

    Lifestyle changes and openness to change during the COVID-19 pandemic in...

    • b2find.dkrz.de
    Updated Oct 24, 2023
    + more versions
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    (2023). Lifestyle changes and openness to change during the COVID-19 pandemic in Germany: Data of two telephone surveys - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/793c136c-ebcf-5e8e-ba73-2add6f666842
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    Dataset updated
    Oct 24, 2023
    Area covered
    Germany
    Description

    The COVID-19 pandemic as a disruptive event was initially considered an opportunity for a transformation towards more sustainable lifestyles. In two telephone surveys with more than 1000 participants each, we explored in October 2020 and May 2021 how people in Germany experienced the COVID-19 related situation, and in particular the lockdown restrictions. Specifically, we asked how they felt their lives had been impaired during the pandemic; which changes they had experienced as particularly bothersome; which ones they perceived to be beneficial; and how these perceptions related to either their urge to return to “normal” or, in contrast, to their openness towards lifestyle changes. Overall, we found that by 2021, the pandemic had impacted people more negatively than in 2020. Most respondents missed social contacts, traveling and cultural events. Some positive changes – e.g., spending less money for useless things – were mentioned as well. A third of the participants agreed that they would like to question their behavior before the pandemic and live more consciously. Apart from slight differences in gender, age and, most importantly, academic background, socio-economic characteristics hardly help explain why some people were more open to change than others. Therefore, we conducted a cluster analysis and found that respondents with stronger pro-environmental attitudes were more open to change, no matter how much they felt impacted by the pandemic. This finding indicates that pro-environmental values and education seem to be key for more ecologically responsible lifestyle choices. We herewith provide the original questionnaires and datasets of the surveys.

  15. f

    Supplementary Material for: How the COVID-19 Pandemic Impacted Neurological...

    • karger.figshare.com
    docx
    Updated Mar 20, 2025
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    figshare admin karger; DiogoNellessen N.; Samehni M.; Hohenstein S.; Bollmann A.; Dengler J.; Palm F.; Kukolja J. (2025). Supplementary Material for: How the COVID-19 Pandemic Impacted Neurological Hospital Admissions in Germany - A Retrospective Analysis [Dataset]. http://doi.org/10.6084/m9.figshare.28631510.v1
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    docxAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset provided by
    Karger Publishers
    Authors
    figshare admin karger; DiogoNellessen N.; Samehni M.; Hohenstein S.; Bollmann A.; Dengler J.; Palm F.; Kukolja J.
    License

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

    Description

    The COVID-19 pandemic has had a major impact on health care. Shifts in inpatient and outpatient case numbers and morbidity have been quantified in other medical specialties (e.g., oncology and psychiatry). Such an analysis is lacking in neurological cases. Thus, we performed an anonymized, retrospective, multicenter analysis of administrative data from a network of 86 hospitals in Germany. Over 350,000 neurological cases admitted between January 2019 and December 2022 were included. The main outcome measures were: 1) deficit in inpatient hospital admissions during the pandemic compared to changes in outpatient cases; 2) morbidity, mortality, and complication rates during the pandemic; and 3) length of stay for inpatients. There was an evident deficit in inpatient admissions between -11% and -20%, which was not compensated for by outpatient cases. Furthermore, hospitalized patients exhibited several significantly increased measures of mortality (3.7% vs. 3.2%, p < 0.001) and morbidity compared to the pre-pandemic period. Interestingly, the proportion of patients with specific chronic comorbidities at risk for severe COVID-19, such as congestive heart failure, was lower during the pandemic (10% vs. 12%, p < 0.001). Finally, the length of hospital stay was shorter during the pandemic (i.e., 6.5 vs. 6.4 days during wildtype period, p < 0.001). These findings suggest a significant shift in hospital utilization patterns among neurology departments during the COVID-19 pandemic. While overall admissions decreased, average case severity was significantly higher. The latter was due to a selection bias because elective cases, less urgent and less morbid patients avoided hospital admission, or because their admission may have been delayed. A shorter length of stay was indicative of more efficient treatment. The avoidance of hospital care by patients with severe comorbidities could indicate a changed prioritization and utilization pattern but could also point to unmet health care needs. These observations underline the necessity for healthcare systems to adapt resource allocation and patient management strategies to ensure continuous quality of care during a pandemic.

  16. o

    SARS-CoV-2 Infektionen in Deutschland

    • explore.openaire.eu
    • zenodo.org
    Updated Apr 2, 2023
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    Robert Koch-Institut (2023). SARS-CoV-2 Infektionen in Deutschland [Dataset]. http://doi.org/10.5281/zenodo.7792134
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    Dataset updated
    Apr 2, 2023
    Authors
    Robert Koch-Institut
    Area covered
    Germany
    Description

    Der vorliegende Datansatz enthält umfassende Informationen zu SARS-CoV-2-Infektionen in Deutschland, die gemäß dem Infektionsschutzgesetze (IfSG) von den Gesundheitsämtern an das Robert Koch-Institut (RKI) gemeldet wurden. Die Daten umfassen Informationen zur Anzahl der bestätigten Fälle, Todesfälle und Genesungen, aus denen sich weitere Kennzahlen im Zusammenhang mit der COVID-19-Pandemie ableiten lassen. Der Datensatz wird täglich aktualisiert und enthält detaillierte Informationen auf Landkreisebene, die nach verschiedenen Altersgruppen aufgeschlüsselt sind. Die Bereitstellung des Datensatzes soll dazu beitragen, das Verständnis der COVID-19-Pandemie in Deutschland zu verbessern und die Berichterstattung, Forschung und Analyse in diesem Bereich zu unterstützen.

  17. c

    German Business Panel, Covid-19 Survey (2020/2021). Data file for on-site...

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +2more
    Updated May 23, 2023
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    Bischof, Jannis; Doerrenberg, Philipp; Rostam-Afschar, Davud; Simons, Dirk; Voget, Johannes (2023). German Business Panel, Covid-19 Survey (2020/2021). Data file for on-site use [Dataset]. http://doi.org/10.4232/1.13731
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    Dataset updated
    May 23, 2023
    Dataset provided by
    Universität Mannheim
    Authors
    Bischof, Jannis; Doerrenberg, Philipp; Rostam-Afschar, Davud; Simons, Dirk; Voget, Johannes
    Time period covered
    Jul 6, 2020 - Feb 24, 2021
    Area covered
    Germany
    Variables measured
    Organization/Institution
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI), Telephone interview: Computer-assisted (CATI)
    Description

    The German Business Panel (GBP) is a data infrastructure that periodically surveys executives and key decision-makers in a representative sample of German firms, eliciting their perceptions, views, and expectations. The primary objective of the longitudinal panel study is to generate evidence on the role of accounting and tax regulation for companies. It is part of the Collaborative Research Center (SFB/TRR) Project-ID 403041268 – TRR 266 Accounting for Transparency.

    The 2020 GBP Covid-19 Survey focusses on the impact of the health crisis on firm´s key outcomes like revenues, profits, as well as perceptions, responses, and plans of decision makers. Questions elicit manager and firm characteristics, as well as perceptions on economic uncertainty, firm survival, government economic policy, take-up of government support, and managerial strategies to responds to the crisis as well as future investment and employment plans. The questionnaire includes various instruments with experimental variation. More information is available at gbpanel.org.

    The 2020 GBP Covid-19 Survey was conducted from July-October 2020 and from November-February 2021 on a rolling basis among a representative sample of decision makers of legally independent private and public businesses with economic activity in the Federal Republic of Germany. For each of the two survey periods, the sampling involved a two-stage procedure. First, a simple random sample was drawn, which was then in a second step randomly allocated according to a contact protocol to generate a rolling cross-section. The two rolling cross-sections together form a rolling panel. The survey was conducted by the German Business Panel team, Mannheim. Interviews were conducted using online computer-assisted web interviewing (CAWI). Parts of the interviews involved computer assisted telephone interviewing (CATI).
    Wave 1: Legal form of the company; annual sales in 2019 (open, categorized); number of employees subject to social security contributions in the company (open/categorized); economic sector of the company; change in various key figures due to the Corona crisis (data in percent): Monthly sales, employees, cash and cash equivalents, liabilities, receivables, profits, provisions, access to inputs and intermediate products; expected date for the end of restrictions in Germany due to the Corona crisis; Certainty regarding the stated date for the end of restrictions; expectation of a second wave of infections before the end of the crisis; estimated date for the start of the second wave of infections; estimated date from which the company´s monthly sales will be as high as at the time before the Corona crisis; certainty that sales on the specified date will be as high as before the Corona crisis or certainty that sales will never again be as high as they were before the Corona crisis; use of non-tax government funds or measures due to the Corona crisis (Corona emergency aid, bridging aid, short-time work and short-time work allowance, liquidity guarantees, capital measures, refinancing of existing KfW loans, KfW special program and fast loan 2020, facilitated access to basic benefits, other, none of the measures); claimed tax measures (refund of advance tax payments already made in 2020, pro rata refund of advance tax payments made in 2019, deferral of tax payments, suspension of enforcement measures, taxation according to corporate income tax, deferral of the due date of import VAT, temporary reintroduction of declining balance depreciation, miscellaneous, none of the measures); expected survival of the company even without government measures; planned or already implemented price changes for final products in connection with the temporary reduction of VAT; price change in percent.

    Experiment 1: State Measures (Ricardian Equivalence): Respondents are randomly assigned to receive either background information or no additional information (control group). After the background information, all respondents are asked the same questions. Government intervention with an economic stimulus package at the expense of taxpayers is justified; expected short-term and medium-term changes in the tax rates of various tax types (corporate income tax, trade tax, personal income tax, social security contributions, solidarity contribution, capital gains tax (in percentage points); desired adjustment of the tax rates of the aforementioned tax types in percentage points; expected change in gross domestic product (GDP) in 2020 and 2021 compared with the respective previous year (in percent).

    Experiment 2: Economic recovery forecast: Extent of uncertainty arising from the Corona crisis for the company´s business; investments currently planned for the short term; investments currently planned for the medium term; short-term or types of investments planned for the long term (real investments, intangible investments, financial investments, other); percentage of sales generated in 2019 to be...

  18. Apparel Market in Germany 2019-2024 with COVID-19 impact

    • store.globaldata.com
    Updated Aug 31, 2020
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    GlobalData UK Ltd. (2020). Apparel Market in Germany 2019-2024 with COVID-19 impact [Dataset]. https://store.globaldata.com/report/apparel-market-in-germany-2019-2024-with-covid-19-impact/
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    Dataset updated
    Aug 31, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Europe, Germany
    Description

    This report includes Analysis, market forecasts, brands, consumer attitudes and trends in the German Apparel Market 2019-2024 with COVID-19 impact Read More

  19. Coronavirus (COVID-19) vaccinations in Germany 2023, by federal state

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Coronavirus (COVID-19) vaccinations in Germany 2023, by federal state [Dataset]. https://www.statista.com/statistics/1195589/coronavirus-covid-19-vaccinations-number-federal-state-per-1000-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    As of February 2023, Bremen recorded the highest second dose coronavirus (COVID-19) vaccination rate. The vaccination rollout in Germany began after the approval of the BioNTech-Pfizer vaccine in the EU. To be completely effective, the vaccine has to be administered in two doses, in two separate sessions. Booster vaccinations are also available. Other vaccines have also been approved in the EU since then.

  20. Data from: COVID-19 lockdown measures impacted citizen science hedgehog...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, csv, txt
    Updated Dec 31, 2022
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    Fabio Sweet; Fabio Sweet; Thomas Rödl; Wolfgang W. Weisser; Thomas Rödl; Wolfgang W. Weisser (2022). COVID-19 lockdown measures impacted citizen science hedgehog observation numbers in Bavaria, Germany [Dataset]. http://doi.org/10.5061/dryad.gmsbcc2qp
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    csv, txt, binAvailable download formats
    Dataset updated
    Dec 31, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Fabio Sweet; Fabio Sweet; Thomas Rödl; Wolfgang W. Weisser; Thomas Rödl; Wolfgang W. Weisser
    License

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

    Area covered
    Bavaria, Germany
    Description

    The COVID-19 pandemic has led to temporary changes in human-animal interactions due to changes in human activities. Here we report on a surge in hedgehog observations during the first COVID-19 lockdown in Germany in 2020, on the citizen science web portal 'Igel in Bayern' (Hedgehogs in Bavaria) in Germany. This increase in comparison to previous years could be attributed to an increase in the number of people reporting hedgehog observations, rather than an increase in the number of hedgehog observations done by each observer. Additionally, in contrast to other studies on the effects of a COVID-19 lockdown on observations recorded by Citizen Science projects, the share of observations made in more urbanized areas during the lockdown time was not higher than the change observed in less urbanized areas. This is possibly a result of the differences in COVID-19 measures between Germany and other countries where preceding studies were carried out, in particular the lack of measures limiting outdoor activities for citizens.

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(2023). COVID-19 Pandemic - Germany - Data by Landkreise [Dataset]. https://public.opendatasoft.com/explore/dataset/covid-19-germany-landkreise/

COVID-19 Pandemic - Germany - Data by Landkreise

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4 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, geojsonAvailable download formats
Dataset updated
Jun 2, 2023
License

Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically

Area covered
Germany
Description

This dataset contains data regarding COVID-19 cases in Germany by Landkreise (district). It was originally published by the Robert Koch-Institut (RKI).For each Landkreis, data is available about: number of cases (cumulative), number of cases per 100 000 persons (cumulative or only the last seven days), percentage of cases (cumulative number of cases among the Landkreis population), number of deaths (cumulative) and death rate (percentage of deaths among the cases).The dataset also contains various geo-administrative information, such as populations, geographical shapes and administrative codes.Enrichment:Dates given in German format have been converted to ISO datetime.

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