The cumulative number of COVID-19 cases in Spain amounted to nearly 14 million as of July 28, 2024. Since Spain confirmed its first case, the authorities have reported approximately 122,000 deaths as a result of complications stemming from the disease, most of them in Madrid. COVID-19: background information COVID-19 is a disease caused by 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. Multiple cases have been reported each day. At the beginning of the pandemic, few was known regarding the virus. Though some aspects still remain unclear, more information has been collected since the outbreak started, allowing a better understanding of the disease and its prevention and treatment, including the production of new vaccines. Immunization in Spain As of May 24, 2023, around 87 percent of the population in Spain had received at least one dose of a vaccine against COVID-19. Moreover, approximately 86 percent were already fully vaccinated. As of August 5, 2022, the number of pre-ordered doses of COVID-19 vaccines in the country amounted to 283.3 million, more than half of which were produced by Pfizer/BioNTech. Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

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

The number of COVID-19 cases in Spain amounted to around 13.9 million as of June 28, 2023. As of that date, the Spanish authorities had confirmed approximately 121,760 deaths as a result of complications stemming from the disease, most of them reported in Madrid and Catalonia, with 21,361 deaths and 21,241 casualties related to COVID-19, respectively.

Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

Spain recorded 120964 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Spain reported 13845825 Coronavirus Cases. This dataset includes a chart with historical data for Spain Coronavirus Deaths.

The coronavirus that originated in the Chinese city of Wuhan and spread to all Spanish regions had a higher mortality rate among those aged over 80 years old, according to the most recent data. In this age group, 21 percent of those that contracted the COVID-19 died from the complications caused by this virus. As of November 24, the disease mostly affected those aged 70-79 yearswith about 23 percent of coronavirus hospitalizations found in that age range. As of November 24, the number of people affected by this coronavirus in Spain was about over 343 thousand. Madrid, the Spanish capital and the region with the highest number of cases, had a transmission rate of 5,129 cases every 100 thousand people as of the same date.

Spain: one of the epicentres of the outbreak Since Spain confirmed its first case, the authorities have confirmed 28.7 deaths as a result of complications from coronavirus, most of them in the Community of Madrid. As of the same date, the number of recoveries Spain registered was significantly higher than that of deaths, with over 150 thousand patients that were able to regain their health. In Spain, the first confirmed case was a German tourist spending some days in La Gomera, Canary Islands, at the end of January 2020.

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. Thousands of new cases are being reported each day, and because the illness has only recently been detected, it is not known exactly how the virus is spreading from person to person. However, the outbreak of the SARS coronavirus, which began in 2002, is thought to have spread via cough and sneeze droplets.

Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

The number of cases of the coronavirus disease that originated in the Chinese city of Wuhan (COVID-19) in Spain amounted to 221 thousand as of May 7, 2020. Since Spain confirmed its first case, the authorities have confirmed 25.4 thousand deaths as a result of complications from coronavirus. As of the same date, the number of recoveries Spain registered was significantly higher than that of deaths, with over 128 thousand patients that were able to regain their health. The virus spread to all Spanish regions, with the Community of Madrid suffering the highest number of cases with over 64 thousand people.

The impact of the outbreak of this disease was such that the global stock markets were affected. The Spanish IBEX-35 was no exception to that, decreasing by 2500 stock market points during the first days of March.

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. Thousands of new cases are being reported each day, and because the illness has only recently been detected, it is not known exactly how the virus is spreading from person to person. However, the outbreak of the SARS coronavirus, which began in 2002, is thought to have spread via cough and sneeze droplets.

The number of COVID-19 vaccination doses administered in Spain rose to 105799888 as of Oct 27 2023. This dataset includes a chart with historical data for Spain Coronavirus Vaccination Total.

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

This dataset is very vast and contains Spanish tweets related to COVID-19. There are 18958 unique tweet-ids in the whole dataset that ranges from December 2019 till May 2020 . The keywords that have been used to crawl the tweets are 'corona', , 'covid ' , 'sarscov2 ', 'covid19', 'coronavirus '. For getting the other 33 fields of data drop a mail at "avishekgarain@gmail.com". Code snippet is given in Documentation file. Sharing Twitter data other than Tweet ids publicly violates Twitter regulation policies.

This statistic presents a percentage distribution by gender and age of people who died from COVID-19 in Spain as of May 18, 2020. This disease is most fatal among the elderly population, especially if the individual suffers from some type of respiratory problem. More than 80 percent of the deaths from COVID-19 registered in the country up to that moment corresponded to people over 70 years old, both in the case of men and women.

As of June 28, 2023, the Spanish region suffering the highest number of COVID-19 cases was Catalonia, with over 2.6 million patients. The impact in the community of Madrid and Andalusia was also significant, with more than two million and approximately 1.65 million confirmed cases of the disease, respectively.

The outbreak in Spain The first confirmed case of COVID-19 in Spain was documented in La Gomera, Canary Islands, at the end of January 2020. Since then, Spanish authorities have reported around 13.9 million cases and over 121,000 deaths as a result of complications stemming from the disease. Not only the highest number of cases, but also most deaths have been reported in Catalonia and the Community of Madrid.

COVID-19: background information COVID-19 is a disease caused by 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. Since then, multiple cases have been reported each day. At the beginning of the pandemic, few was known regarding the virus. Though some aspects still remain unclear, more information has been collected since the outbreak started, allowing a better understanding of the disease and its prevention and treatment, including the production of new vaccines.

Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

GlobalData has revised downwards the forecast for the construction industry growth to -2%, with the high likelihood of further cuts if activity in the short-term is more severely disrupted than currently anticipated. Read More

This dataset presents a large-scale collection of millions of Twitter posts related to the coronavirus pandemic in Spanish language. The collection was built by monitoring public posts written in Spanish containing a diverse set of hashtags related to the COVID-19, as well as tweets shared by the official Argentinian government offices, such as ministries and secretaries at different levels. Data was collected between March and August 2020 using the Twitter API. In addition to tweets IDs, the dataset includes information about mentions, retweets, media, URLs, hashtags, replies, users and content-based user relations, allowing the observation of the dynamics of the shared information. Data is presented in different tables that can be analysed separately or combined. The dataset aims at serving as source for studying several coronavirus effects in people through social media, including the impact of public policies, the perception of risk and related disease consequences, the adoption of guidelines, the emergence, dynamics and propagation of disinformation and rumours, the formation of communities and other social phenomena, the evolution of health related indicators (such as fear, stress, sleep disorders, or children behaviour changes), among other possibilities. In this sense, the dataset can be useful for multi-disciplinary researchers related to the different fields of data science, social network analysis, social computing, medical informatics, social sciences, among others.

Selected treatments in patients with COVID-19 infection.

The coronavirus that originated in the Chinese city of Wuhan and spread to all Spanish regions mostly affected those aged 70-79 years, according to the most recent data. Some 23 percent of people hospitalized due to coronavirus coronavirus in Spain were aged in that age range. About 21 percent of those that contracted the COVID-19 aged 90 or over died from the complications caused by this virus during the same period. As of April 29, the number of people affected by this coronavirus in Spain was over 212 thousand. Madrid, the Spanish capital and the region with the highest number of cases, had a transmission rate of 912 cases every 100 thousand people as of the same date.

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. Thousands of new cases are being reported each day, and because the illness has only recently been detected, it is not known exactly how the virus is spreading from person to person. However, the outbreak of the SARS coronavirus, which began in 2002, is thought to have spread via cough and sneeze droplets.

Change in the predicted probability of strongly agreeing or strongly disagreeing throughout the pandemic depending on political ideology, based on the longitudinal data (N = 97, repeated measures).

We are releasing a Twitter dataset connected to our project Digital Narratives of Covid-19 (DHCOVID) that -among other goals- aims to explore during one year (May 2020-2021) the narratives behind data about the coronavirus pandemic.

In this first version, we deliver a Twitter dataset organized as follows:

Each folder corresponds to daily data (one folder for each day): YEAR-MONTH-DAY

In every folder there are 9 different plain text files named with "dhcovid", followed by date (YEAR-MONTH-DAY), language ("en" for English, and "es" for Spanish), and region abbreviation ("fl", "ar", "mx", "co", "pe", "ec", "es"):

dhcovid_YEAR-MONTH-DAY_es_fl.txt: Dataset containing tweets geolocalized in South Florida. The geo-localization is tracked by tweet coordinates, by place, or by user information.

dhcovid_YEAR-MONTH-DAY_en_fl.txt: We are gathering only tweets in English that refer to the area of Miami and South Florida. The reason behind this choice is that there are multiple projects harvesting English data, and, our project is particularly interested in this area because of our home institution (University of Miami) and because we aim to study public conversations from a bilingual (EN/ES) point of view.

dhcovid_YEAR-MONTH-DAY_es_ar.txt: Dataset containing tweets from Argentina.

dhcovid_YEAR-MONTH-DAY_es_mx.txt: Dataset containing tweets from Mexico.

dhcovid_YEAR-MONTH-DAY_es_co.txt: Dataset containing tweets from Colombia.

dhcovid_YEAR-MONTH-DAY_es_pe.txt: Dataset containing tweets from Perú.

dhcovid_YEAR-MONTH-DAY_es_ec.txt: Dataset containing tweets from Ecuador.

dhcovid_YEAR-MONTH-DAY_es_es.txt: Dataset containing tweets from Spain.

dhcovid_YEAR-MONTH-DAY_es.txt: This dataset contains all tweets in Spanish, regardless of its geolocation.

For English, we collect all tweets with the following keywords and hashtags: covid, coronavirus, pandemic, quarantine, stayathome, outbreak, lockdown, socialdistancing. For Spanish, we search for: covid, coronavirus, pandemia, quarentena, confinamiento, quedateencasa, desescalada, distanciamiento social.

The corpus of tweets consists of a list of Tweet Ids; to obtain the original tweets, you can use "Twitter hydratator" which takes the id and download for you all metadata in a csv file.

We started collecting this Twitter dataset on April 24th, 2020 and we are adding daily data to our GitHub repository. There is a detected problem with file 2020-04-24/dhcovid_2020-04-24_es.txt, which we couldn't gather the data due to technical reasons.

For more information about our project visit https://covid.dh.miami.edu/

For more updated datasets and detailed criteria, check our GitHub Repository: https://github.com/dh-miami/narratives_covid19/

The strict lockdown experienced in Spain during March–June 2020 as a consequence of the COVID-19 crisis has led to strong negative emotions. Music can contribute to enhancing wellbeing, but the extent of this effect may be modulated by both personal and context-related variables. This study aimed to analyze the impact of the two types of variables on the perceived efficacy of musical behaviors to fulfill adults’ emotional wellbeing-related goals during the lockdown established in Spain. Personal variables included age, gender, musical training, personality, resilience, and perception of music’s importance. Contextual variables referred to living in a region with a high COVID-19 impact, perception of belonging to a risk group, being alone, having caring responsibilities during confinement, and amount of time of music listening as compared to prior to the crisis. The study was conducted retrospectively during August–December 2020, when the strict lockdown was over in Spain. An online survey was disseminated among the general population and groups of musicians, and the answers of 507 adults (from 18 years on, 73.9% females, 51.3% musically trained adults) were analyzed. Only personal, but not COVID-19 context-related variables, showed an impact on music’s efficacy. The youngest age group of adults and those with musical training reported the highest efficacy of music for wellbeing enhancement, and music’s importance was found to be the main significant predictor of music’s perceived efficacy. Our findings suggest that the people who have been reported to be emotionally more vulnerable during the lockdown, due to either a strong impact on their daily lives or their lower resilience, perceive a higher benefit from musical behaviors. Being musically trained, even for a small number of years, also leads to a perception of higher efficacy of music for the achievement of emotional wellbeing goals. However, this effect is explained by the musically trained individuals’ higher perception of music’s importance. Although musical behaviors can be generally considered as important for wellbeing enhancement, our study highlights who are the potential individuals who could benefit the most from music-related activities for obtaining better levels of wellbeing, at least within the current context of the COVID-19 crisis.

This data provides values of the Air Quality Index (AQI) for the most populated city in each Spanish autonomous community since 2019. The compounds selected to evaluate AQI are PM10, O3, and NO2. This dataset is oriented to people that want to evaluate quarantine effects on air pollution during a COVID-19 disease outbreak. For this reason, a table with notified cases of the disease to the Public Administration at an autonomous community-scale is also supplied with the aim of providing a framework of disease evolution.

The air_contamination.csv dataset contains 9 variables:

- timestamp: date in format: yyyy/mm/dd
- ca: autonomous community (text)
- ciudad: city (text)
- pm10: AQI value of pm10 particle (number)
- pm10_level: Air quality base on pm10 particles (text)
- o3: AQI value of o3 particle (number)
- o3_level: Air quality based on o3 particles (text)
- no2: AQI value of no2 particle (number)
- no2_level: Air quality based on no2 particles (text)

The casos_covid19.csv dataset contains 4 variables:

- comunidad: autonomous community (text)
- casos: Cases notified by Ministerio de Sanidad/Healthcare minister (text)
- casos_notificados: Cases notified by RENAVE (Red Nacional de Vigilancia Epidemiológica) a través de la plataforma SiVIES.
- datetime: datetime in format yyyy/mm/dd

For more information about the project visit the link on [Github](https://github.com/shiny-data-scientist/webscrap_pract_1/)

In this work, we release two expert curated, manually annotated datasets of COVID-19 self-reported symptoms. The first dataset contains tweets in English and the second contains tweets in Spanish, both containing around 36,500 tweets in total. These datasets were used for the Sixth and Seventh Workshop on Social Media Mining For Health (2021 and 2022)