As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

With the third-highest number of confirmed COVID-19 cases worldwide, Brazil was the country that required the largest volume of oxygen in Latin America. As of ***************, the Portuguese-speaking nation needed nearly *** million cubic meters of oxygen per day to treat its patients. Meanwhile, Mexico needed close to *** thousand cubic meters of oxygen per day. Most of the countries in the region required less than *** thousand cubic meters of oxygen per day. A critical situation Medical oxygen is pivotal for treating patients affected by the COVID-19 disease. The virus can cause pneumonia, which can lead to acute respiratory distress syndrome (lung failure) and eventually death. Medical oxygen enables patients to receive the oxygen required for normal bodily function. With more than *** million cases worldwide, oxygen demand is at an all-time high. As of ***********, India required the most oxygen at more than * million cylinders per day. It is not just oxygen The shortfall in the amount of medical oxygen in Brazil is coupled with a general lack of resources. In 2019, the South American country had only **** intensive care unit (ICU) beds per 100,000 population. In addition, Brazil registered just over ** ventilators per 100,000 inhabitants that same year. Unfortunately, as one of the most affected countries worldwide, this is not enough to meet the soaring demand.

The Novel Coronavirus (COVID-19) daily data of confirmed cases for affected countries and provinces of China reported between 31st December 2019 and 31st May 2020. The data was collected from the European Centre for Disease Prevention and Control (ECDC), and John Hopkin CSSA.

The monthly mean temperature of February to May 2020 of capital cities for the various nations.

Collection of live chat data from the highest viewed YouTube channel covering the COVID-19( RoyLab Stats). Data collected about ~15 minutes before reaching the 1 million cases of COVID-19 worldwide. I am still collecting data and i will update whenever i can.

Dataset

This dataset was created by Johar M. Ashfaque

Contents

Context

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Content

Aktar S, Ahamad M, Rashed-Al-Mahfuz M, Azad A, Uddin S, Kamal A, Alyami S, Lin P, Islam S, Quinn J, Eapen V, Moni M Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development JMIR Med Inform 2021;9(4):e25884 URL: https://medinform.jmir.org/2021/4/e25884 DOI: 10.2196/25884

Acknowledgements

https://www.kaggle.com/S%C3%ADrio-Libanes/covid19

Brazil COVID-19: No. of Tests: M&M: New: Undefined data was reported at 0.000 Unit in 22 Mar 2024. This stayed constant from the previous number of 0.000 Unit for 21 Mar 2024. Brazil COVID-19: No. of Tests: M&M: New: Undefined data is updated daily, averaging 0.000 Unit from Feb 2020 (Median) to 22 Mar 2024, with 1488 observations. The data reached an all-time high of 10,342.000 Unit in 17 Jul 2020 and a record low of 0.000 Unit in 22 Mar 2024. Brazil COVID-19: No. of Tests: M&M: New: Undefined data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA002: Disease Outbreaks: COVID-19: Number of Tests: Mild to Moderate Cases.

In 2022, the number of available apps that can be used to prove a COVID-19 vaccination and as a travel passport increased significantly compared to the beginning of the previous year. The NHS App, which is now recognized in more than 30 countries worldwide, was downloaded more than 4.2 million times during the first quarter of 2022 alone. CovPass, launched by the Robert Koch Institute, recorded almost 4.76 million downloads after one year from its launch, while downloads of Dutch app CoronaCheck were at 950 thousand.

Contact tracing apps As coronavirus infections spread by being in contact with infected individuals, contact tracing apps make usage of Bluetooth technology to monitor the data exchanged between devices that are in proximity of one another. Once users install the apps and provide documentation on their health status, their mobile devices can register the proximity to other users and signal if a previously encountered user tested positive for coronavirus. Among the mobile apps that take advantage of this built-in function is the Indian Aarogya Setu app, which launched in April 2020 and counted 2.56 million downloads in October 2021 alone.

Vaccine verification features and travel apps In 2021, vaccination campaigns started rolling out worldwide and COVID-19 travel passports were introduced to the public. In order to help verify negative testing or vaccination status, several contact tracing apps introduced features to add official health certificates. However, according to a survey of global travelers conducted in February 2021, 35 percent of respondents reported having privacy concerns, while around three in 10 respondents were concerned over the lack of transparency and control over their personal data. Despite users’ concerns, the most popular apps used in the United States to give proof of COVID-19 vaccination generated 1.6 million downloads between March and August 2021.

As of January 13, 2023, Sweden had reported 2,687,840 confirmed coronavirus cases. Cases first started to rise sharply in spring 2020, when the number of new confirmed cases per day started to increase, however the peak was much higher in winter 2021/22.

The novel coronavirus (COVID-19)

The coronavirus was officially declared as a worldwide pandemic by the World Health Organization on March 11, 2020. The novel coronavirus was first detected at a fish and seafood market in the Chinese city of Wuhan, in the Hubei province, in late December 2019. Since then, the virus reached over 668 million cases worldwide as of January 9, 2023.

Coronavirus-related deaths in Sweden

The first coronavirus related death in Sweden was reported on March 11, 2020 and as of January 13, 2023, the number of deaths reached a total of 22,645. The highest number of deaths occurred among the age group from 80 to 90 years old.

Coupled Model Intercomparison Project Phase 6 (CMIP6) data sets. These data includes all datasets published for 'CMIP6.DAMIP.MPI-M.MPI-ESM1-2-LR.ssp245-covid' according to the Data Reference Syntax defined as 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.

The model used in climate research named MPI-ESM1.2-LR, released in 2017, includes the components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions, and the results will undoubtedly be relied on by authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated at a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.

[ Derived from parent entry - See data hierarchy tab ]

These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.MPI-M.MPI-ESM1-2-LR.ssp245-covid' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The MPI-ESM1.2-LR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.

This is empirical dataset from the paper "The impact of human mobility networks on the global spread of COVID-19". Specifically, the dataset includes several files: (a) the COVID-19 network - an origin/destination matrix (i.e., "covid_network.csv"); (b) the common language network - edgelist format (i.e. "edge_list_comlang.csv"); (c) the same continent network - edgelist format (i.e., "edge_list_continent.csv"; (d) the contiguity network (i.e., "edge_list_contig.csv"); (e) the migration network - edgelist format (i.e., "edge_list_migration_in.csv"; (f) the tourism network - edgelist format (i.e., edge_list_tourism_in.csv"); (g) the list of nodes (countries) corresponding to files (b)-(e) (i.e., "nodes.csv"). Additionally, we uploaded the Rcode used in the paper (i.e. "code"), as a .pdf file format, the data source for the figures included in the paper (i.e., "covid_network_matrix.csv", "matrix_migration_out.csv", "matrix_tourism.csv" - Figure 1; "Fig_2_a_matrix_comlang.csv", Fig_2_b_matrix_contig.csv", "Fig_2_c_matrix_continent.csv" - Figure 2; "Fig_3.graphmlz - Figure 3; Fig_4.graphmlz - Figure 4) and the "global network of COVID-19 onset" (an individual-level data) (i.e., "global_covid_network.csv").

For details, please, see the Methods section of the paper: The impact of human mobility networks on the global spread of COVID-19 (Hancean, M.-G., Slavinec, M., Perc, M).

The outbreak of the coronavirus disease (COVID-19) had been confirmed in around 195 countries or territories around the world. As July 20, 2020, there had been 276,202 total cases of COVID-19 in Iran. Around 240,087 patients had recovered from the disease according to Iran's official government data.

Total visits to top public health sources Centers for Disease Control and Prevention, National Institutes of Health (NIH), and the World Health Organization (WHO) have increased to **** million during the week ending March 15, representing a *** percent growth compared to the corresponding period ending January 12. As the global coronavirus pandemic sweeps the globe, U.S. audiences are keen to stay up to date with the latest developments in their country. Online health and government sources drive millions of visits from the public, and especially mobile visits have been increasing.br>For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of May 11, 2025, Colombia reached 6.4 million cases of COVID-19, and approximately 143,000 deaths caused by the disease. Within Latin America, Colombia is the fourth most affected country by number of cases, after Brazil, Argentina, and Mexico. The first positive case of COVID-19 in Colombia was registered on March 8, 2020, and the first reported deaths were confirmed on March 23, 2020.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

Country-level adjusted associations between BCG status and log-transformed number of SARS-CoV2 cases.

As of March 1, 2023, Tunisia had registered around 1.15 million confirmed cases of coronavirus (COVID-19) since the beginning of the pandemic.

How the pandemic developed in Tunisia

The first case of COVID-19 in Tunisia was registered at the beginning of March 2020, when a Tunisian man tested positive for the virus after returning from Italy. Almost two years later, the country recorded a peak of 19,923 daily cases on January 22, 2022. The cumulative number of deaths was getting closer to 30,000 as of the end of 2022. Despite the relatively small size of the Tunisian population, the country is among the African nations with the highest number of deaths due to COVID-19. Tunisia started the vaccination campaign in March 2021, reaching one of the highest vaccination rates in Africa.

Strong economic and business impact

Similar to the rest of the world, the Tunisian economy was hit by the pandemic. The country’s Gross Domestic Product (GDP) contracted by around 20 percent in the second quarter of 2020, and all economic sectors were heavily impacted. Moreover, there were also implications for businesses and employment. Most enterprises registered a decline in sales in 2020, and reduced business activities significantly affected the labor market. According to a survey conducted in March 2021, the Tunisian population was more worried about the country's economy than the health situation. In fact, the pandemic considerably affected Tunisian households, contributing to increasing the poverty levels in the country.

Country-level adjusted associations between BCG status and log-transformed number of SARS-CoV2 cases and deaths at 31 May 2020.

The weekly sales growth of the fashion retailer H&M in the first half of 2020 was significantly lower than a year prior. The coronavirus pandemic, which emerged early 2020, has had drastic negative effects on businesses around the world. The same can be said for H&M Group, where starting week 12 of 2020, the weekly year-on-year sales growth was minus 65 percent. Beginning week 20, the weekly year-on-year sales growth began to slightly improve. Although by week 22, the sales growth was still at -34 percent compared to the year prior.

Coronavirus impact on the clothing industry

The clothing and retail industry is one of the worst impacted industries due to the coronavirus pandemic. In Europe, production of clothing units in 2020 was down 37.4 percent compared to the year prior. Furthermore, retail sales of clothing were down 43.5 percent in Q2 2020 compared to the same period a year prior. Similar negative trends were observed in other metrics such as turnover from clothing businesses.

Attitudes towards the fashion industry

The coronavirus pandemic has given clothing and fashion consumers time to reflect on the fashion industry’s negative social and environmental impacts. In an April 2020 survey, 83 percent of UK consumers agreed that ‘clothing should be designed to last longer and be repairable’ and that ‘fewer plastics should be used in the production of clothing’. Similarly, consumers in Germany believed that the fashion industry had the responsibility to reduce their negative impact on the environment.