Switzerland recorded 4404327 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Switzerland reported 14008 Coronavirus Deaths. This dataset includes a chart with historical data for Switzerland Coronavirus Cases.

The coronavirus (COVID-19) has severely affected Switzerland. Based on current figures from January 2023, of all the Swiss cantons, Zürich has the highest number of confirmed cases, followed by Bern.

View daily updates and historical trends for Switzerland Coronavirus Cases Per Day. Source: Johns Hopkins Center for Systems Science and Engineering. Trac…

Switzerland has been recording coronavirus (COVID-19) case numbers across the country since the end of February 2020. As of January 2023, there were 4,383,648 confirmed cases.

In past 24 hours, Switzerland, Europe had N/A new cases, N/A deaths and N/A recoveries.

The coronavirus (COVID-19) pandemic has impacted life in Switzerland. With confirmed cases of illness across the country, as of January 2023, Ticino had the highest infection rate per 100,000 inhabitants, followed by Graubünden.

This dataset is based on the Github repository maintained by OpenZH. Data has been enriched with geographical data for the cantons, in order to produce visualisations.Field NameDescriptionFormatNote

updateDate and time of notification YYYY-MM-DD-HH-MM

nameName of the reporting cantonTextabbreviation_canton_and_fl Abbreviation of the reporting canton

Text

ncumul_testedReported number of tests performed as of dateNumberIrrespective of canton of residence

ncumul_confReported number of confirmed cases as of dateNumberOnly cases that reside in the current canton

current_hosp (formerly ncumul_hosp) *Reported number of hospitalised patients on dateNumberIrrespective of canton of residencecurrent_icu (formerly ncumul_icu) *Reported number of hospitalised patients in ICUs on dateNumberIrrespective of canton of residencecurrent_vent(formerly ncumul_vent) *Reported number of patients requiring ventilation on dateNumberIrrespective of canton of residencencumul_released Reported number of patients released from hospitals or reported recovered as of date

NumberIrrespective of canton of residence

ncumul_deceasedReported number of deceased as of dateNumberOnly cases that reside in the current cantonnew_hosp *Number of new hospitalisations since last dateNumberIrrespective of canton of residence

sourceSource of the informationURL linkgeo_point_2dGeographical centroid of the cantongeo_point_2dcurrent_isolatedReported number of isolated persons on dateNumberInfected persons, who are not hospitalisedcurrent_quarantinedReported number of quarantined persons on dateNumberPersons, who were in 'close contact' with an infected person, while that person was infectious, and are not hospitalised themselvescurrent_quarantined_riskareatravelReported number of quarantined persons on dateNumberPeople arriving in Switzerland from certain countries and areas, required to go into quarantine (introduced in May 2021)*These variables were affected by the format change on April 9th, 2020, which consists in:- new variable "new_hosp"- variables "ncumul_hosp", "ncumul_icu", "ncumul_vent" have been renamed to "current_hosp", "current_icu", "current_vent", to fit with their nature. To ensure compatibility with already made dashboards or reuses, these fields have been duplicated to avoid errors when their old names are used; but we strongly recommand to replace their old names by the new as soon as possible.

Key figures on laboratory-confirmed cases, hospitalisations, deaths, tests, vaccinations, relevant virus variants, Re values, contact tracing (isolation and quarantine), hospital capacity and the international situation. ### Documentation - data documentation - release notes - data context API

WHO: COVID-2019: Number of Patients: Death: To-Date: Switzerland data was reported at 14,142.000 Person in 24 Dec 2023. This stayed constant from the previous number of 14,142.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Death: To-Date: Switzerland data is updated daily, averaging 12,284.000 Person from Feb 2020 (Median) to 24 Dec 2023, with 1400 observations. The data reached an all-time high of 14,142.000 Person in 24 Dec 2023 and a record low of 0.000 Person in 05 Mar 2020. WHO: COVID-2019: Number of Patients: Death: To-Date: Switzerland data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued). Due to some inclusions and exclusions of cases that are not properly reflected in WHO report, which are the result of the retrospective adjustments of national authorities, some current day “To-date” figures will not tally to the sum of previous day “To-date” cases and current day new reported cases. Figures with excluded cases are relatively lower compared to the previous day.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

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Content

From Novel Corona Virus 2019 Dataset:

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

This dataset has information on the number of cases in Brazil. Please note that this is a time series data and so the number of cases on any given day is a cumulative number.

The data is available from Jan/30/2020, when the first suspect case appeared in Brazil.

Acknowledgements

1. Avisos/Advertising - Please, before start working with this data, take a break to read this discussion.
2. Plataforma COVID Brazil - Public platform to share informations about the COVID-19 cases in Brazil.

Country level datasets

If you are interested in know about another country, please follow these Kaggle datasets:

• Novel Corona Virus 2019 Dataset - https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
• India - https://www.kaggle.com/sudalairajkumar/covid19-in-india
• South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset
• Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy
• USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa
• Switzerland - https://www.kaggle.com/daenuprobst/covid19-cases-switzerland
• Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases
• Turkey - https://www.kaggle.com/gkhan496/covid19-in-turkey
• France - https://www.kaggle.com/lperez/coronavirus-france-dataset
• Tunisia - https://www.kaggle.com/ghassen1302/coronavirus-tunisia
• Japan - https://www.kaggle.com/tsubasatwi/close-contact-status-of-corona-in-japan

Inspiration

1. Changes in number of cases over time
2. Change in cases over time at state level

Different data and code files are provided for each round of the survey (spring or fall 2020) and type of analysis (descriptive/non-parametric or multivariate regression analysis).

Stata DoFiles contain code for the multivariate analysis; links to the relevant data files are included.

R files contain code for the descriptive and non-parametric analyses; links to the relevant data files are included.

The coronavirus (COVID-19) outbreak of 2020 in Switzerland has led to signficantly increased demand for certain food products among the population, in the attempt to stock up in case of extended quarantine. The demand for flour and rice was particularly high as of March 2020.

IntroductionThis study examines the digital divide among older adults in Switzerland within the rapidly evolving digital environment. It investigates changes in internet usage among this population, focusing on the proportion of users, frequency, and the intensity of their internet usage during the COVID-19 pandemic.MethodsDrawing on Swiss data from the Survey of Health, Aging, and Retirement (SHARE), conducted in 2021, the study analyzes a sample of 1,205 older adults.ResultsThe findings indicate a growing proportion of internet users over time. It also highlights that gender differences persist but are decreasing. Notably, around 9% of individuals in this study had never used the internet, while recent users exhibited high activity levels, spending an average of approximately two and a half hours online daily. The study identified age, education, employment, living arrangements, and attitudes toward technology as influential factors shaping internet usage among older adults. Importantly, the COVID-19 pandemic did not have a significant impact on internet adoption among this demographic.DiscussionThese findings shed light on the complex dynamics that shape internet usage among older adults and underscore the need to promote digital inclusion and engagement within this population.

Covid-19 impact on a department of visceral surgery.

The Pandemic Border Discourses project identifies and compares the evolution of discourses restricting internal and external mobility in Europe as the Covid-19 pandemic is unfolding. It is designed to show how political actors use discourses to justify their decisions in emergency situations, and analyse whether and how unforeseen systemic pressure disrupts bordering discourses and practices. It contributes to a better understanding of the political, social and economic issues driving policy decision in times of crisis, above all the tension between national interest and transnational solidarity.

This coding manual explains our data collection strategy and introduces the variables of the dataset. Building on a core-sentence analysis method, we collect and analyse institutional discourses about mobility during the Covid-19 crisis on Twitter.

The dataset also includes information from the first part of the MOSAiCH 2020 survey, namely sociodemographic information and some attitudinal questions of interest for the COVID-19 survey such as repeated questions.

Be aware that this is a BETA version. There still might be errors and the number of cases is not final. Please notify us of any error you see. Thank you for your help.

ObjectivesTo discuss the opportunities and challenges of the qualitative solicited diary approach using digital technologies as an innovative way to access insights into people’s lives and their unique stories in times of COVID-19-related social distancing in Switzerland.MethodsThis case study provides reflective arguments from a social science perspective for the selection of different (digital) diary designs to optimize data collection in the SNSF-funded project “PubliCo - an experimental online platform for COVID-19-related public perception.”ResultsThe findings highlight some opportunities of using (digital) diaries, such as empowering participants, gathering real-time data, and ethical and methodological challenges when it comes to gaining access to alternative narratives.ConclusionTo gain in-depth insights during a crisis and to reach the lesser-heard voices that are central to democratic debates, it is necessary to adapt data gathering methods and build trust with diverse communities. While digital technologies open up new possibilities for public engagement, there is a need to think critically how data gathering is approached, how trustworthy the results are, and whose voices are captured, amplified, or left out.

Data are generated from the European Centre for Disease Prevention and Control (ECDC) webpage concerning the situation of COVID-19 in the Europeean Union (EU) and the United Kingdom (UK) (https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea). The webpage contains, per country, the total number of COVID-19 cases and deaths as well as the 14-day cumulative number of cases and deaths per 100,000 persons and the 14 day COVID-19 case notification rate per 100,000. The data are extracted daily and transposed in a CSV format. The data are collected and processed by the ECDC Epidemic Intelligence Team through the Early Warning and Response System (EWRS), The European Surveillance System (TESSy), the World Health Organization (WHO) and direct exchange with other international stakeholders for the EU/EEA countries.

Introduction: Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread around the world. While the first case was recorded in Hubei in December 2019, the extent of early community spread in Central Europe before this period is unknown. A high proportion of asymptomatic cases and undocumented infections, high transmissibility, and phylogenetic genomic diversity have engendered the controversial possibility of early international community spread of SARS-CoV-2 before its emergence in China. Methods: To assess the early presence of lethal COVID-19 in Switzerland, we retrospectively performed an analysis of deaths at University Hospital Basel between October 2019 and February 2020 (n = 310), comparing the incidence of clinical causes of death with March 2020 (n = 72), the month during which the first lethal COVID-19 cases in Basel were reported. Trends of COVID-19-suggestive sequelae, such as bronchopneumonia with organization, acute respiratory distress syndrome (ARDS), or pulmonary embolisms (PE) were evaluated. In cases where autopsy was performed (n = 71), analogous analyses were conducted on the cause of death and pulmonary histological findings. Eight cases with a COVID-19-suggestive clinical history and histopathology between October 2019 and February 2020, and 3 cases before October 2019, were selected for SARS-CoV-2 RT-PCR. Results: A statistically significant rise in pulmonary causes of death was observed in March 2020 (p = 0.03), consistent with the reported emergence of lethal COVID-19 in Switzerland. A rise in lethal bronchopneumonia was observed between December 2019 and January 2020, which was likely seasonal. The incidence of lethal ARDS and PE was uniformly low between October 2019 and February 2020. All autopsy cases analyzed by means of SARS-CoV-2 RT-PCR yielded negative results. Conclusion: Our data suggest the absence of early lethal community spread of COVID-19 in Basel before its initial reported emergence in Switzerland in March 2020.