Sweden recorded 2708122 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Sweden reported 24166 Coronavirus Deaths. This dataset includes a chart with historical data for Sweden Coronavirus Cases.

Context

Covid-19 is a global pandemic which requires a global effort to enable innovative solutions. We hope that this dataset will encourage such thinking and bring us closer to mapping an uncertain future for Sweden and the world.

Content

This data represents both confirmed cases and confirmed deaths from Covid-19 in Sweden by region per day. It is updated regularly and get transferred here as soon as an update is made. The data is collected from the National Health Agency of Sweden (Folkshälsomyndigheten) as well as regional health agencies for more up-to-date information.

Acknowledgements

All the credit for this dataset goes to Elin Lutz. All the data is updated from her Github repository https://github.com/elinlutz/gatsby-map.

Inspiration

The author also provides a live map of Sweden viewable at https://www.coronakartan.se/.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4319916%2F4a8b9c919b4d0b9798fc964d3a12768a%2FScreenshot%202020-04-02%20at%2015.39.05.png?generation=1585834816388941&alt=media" alt="">

Feel free to upvote if you find interesting or useful! I'd also love to hear feedback or answer any questions!

9th November 2020

Context

With European governments struggling with a 'second-wave' of rising cases, hospitalizations and deaths resulting from the SARS-CoV-2 virus (COVID-19), I wanted to make a comparative analysis between the data coming out of major European nations since the start of the pandemic.

It has been well publicized that Sweden has taken a different approach to most Western European nations when it comes to public policy regarding COVID-19. This has drawn significant attention from across the world and so, allied to the fact that Sweden publishes it's data in a clear and understandable way that is easy to access, it seemed like a good place to start.

In time, I hope to construct other European national datasets for direct comparison - probably starting with my own country, the United Kingdom.

I also should say I am not an Epidemiologist, Sociologist or even a Data Scientist. I am actually a Mechanical Engineer! The objective here is to improve my data science skills and maybe provide some useful data to the wider community.

Acknowledgements

This data was obtained from the Official Swedish COVID-19 Public Health Agency (Folkhälsomyndigheten) website: https://experience.arcgis.com/experience/09f821667ce64bf7be6f9f87457ed9aa/page/page_0/

The notebook used to obtained is public and can be found here: https://www.kaggle.com/vascodegama/sweden-covid-19-data-scrape

Updates

It is my understanding that the weekly data is published by the Swedish Health Agency every 2pm (CET) on a Thursday so the initial aim is to update the whole dataset each Friday.

Any questions, comments or suggestions are most welcome! I am open to requests and collaborations! Stay Safe!

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in SWEDEN: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

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.

Data used in the article "Fear or price? Vulnerability of the interest in green transport to COVID dynamics and fuel prices in V4 economies" (DOI: 10.14254/2071-789X.2025/18-1/4). The data covers the period from January 2020 to the end of February 2023. It includes weekly data on consumer prices of petroleum products (PB95) inclusive of duties and taxes (data source: weekly oil bulletin prepared by the European Commission) and the results of Google search terms related to public transport, alternative transport and electric cars in Czechia, Germany, Hungary, Poland, Slovakia and Sweden. We considered the total Google search volume related to a given means of transport for various phrases in national languages. Lastly, we include the data on the number of confirmed COVID-19 cases per week cases provided by World Health Organization.The dataset consists of 6 files: Czechia, Germany, Hungary, Poland, Slovakia and Slovenia. Each file stores the analogous data collected for each country. Column names:PB - price (in Euro) of the 95-PB petrol;ecar - number of Google searches for the keywords related to electric cars;pubTR - number of Google searches for the keywords related to public transport;susTR - number of Google searches for the keywords related to alternative transport;pubTR_sa - de-seasoned number of searches for the keywords related to public transport;susTR_sa - de-seasoned number of searches for the keywords related to alternative transport;COV - number of COVID deaths.