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TwitterTlevision was Spain's medium of choice for reliable news and information about the coronavirus (COVID-19) outbreak according to a survey conducted in March 2020. This study reveals that 85 percent of Spaniards use this channel to keep up to speed on the latest updates about the outbreak, whereas only 13 percent read print press for the same purpose.
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View daily updates and historical trends for Spain Coronavirus Cases. Source: Johns Hopkins Center for Systems Science and Engineering. Track economic dat…
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TwitterThe results presented in this COVID-19 Panel are obtained from the declaration of COVID-19 cases to the National Epidemiological Surveillance Network (RENAVE) through the SiViES (Surveillance System of Spain) computer platform via the Web. ) managed by the National Epidemiology Center (CNE). This information comes from the epidemiological case survey that each Autonomous Community carries out when a COVID-19 case is identified.
The COVID-19 Panel presents geographic information on cumulative incidence rates at 14 days and 7 days, for the general population and for those 65+ years of age, and indicators of the evolution of the pandemic's transmissibility. For the calculation of all the parameters, the date of onset of symptoms is used or, failing that, the date of diagnosis minus 6 days (from the start of the pandemic until May 10, 2020) or minus 3 days (from of May 11); for asymptomatic cases, the date of diagnosis is used. In those cases in which there is no date of onset of symptoms or diagnosis, the key date is used (date for statistics [It was lost to the autonomous communities to define the Key date as the date of onset of symptoms and in its absence the date of declaration to the AC, until May 10, 2020. From May 11 onwards, the Key date is the earliest of the dates of consultation or diagnosis. Occasionally it can be replaced by the date of sampling] ). Until May 10, 2020, cases diagnosed by a positive diagnostic test for active infection are included, as well as all those cases hospitalized, admitted to the ICU and deaths; As of May 11, cases confirmed by PCR, or by emergency tests, are included. The population used to calculate the incidence rates comes from the official population figures resulting from the revision of the municipal census as of January 1 of the National Institute of Statistics of 2020.
A regular update of the COVID-19 situation in Spain is carried out, after an extraction from the SiViES database from 3:00 p.m. to 4:00 p.m.
All of the data in this dataset has been sourced from https://cnecovid.isciii.es/covid19/ Should you choose to use said dataset, please cite the National Epidemiological Surveillance Network (RENAVE) and the SiViES (Surveillance System of Spain)
casos_diag_ccaadecl.csv: Number of cases by diagnostic technique and Autonomous Communities (declaration)
- ccaa_iso: Autonomous Communities ISO code of declaration
- fecha:The date of the diagnosis. In cases prior to May 11, the date of diagnosis is used, in his absence the date of declaration to the community and, in his absence, the key date (date used for statistics by the Autonomous Communities). In the cases after May 10, in the absence of a diagnosis date, the key date
- num_casos:Number of reported cases confirmed with a diagnostic test positive for active infection (PDIA) as established in the Strategy for early detection, surveillance and control of COVID-19 and also cases notified before May 11 that required hospitalization, admission in the ICU or died with a clinical diagnosis of COVID-19, according to the case definitions in force at any given time.
- num_casos_prueba_pcr: Number of cases with PCR laboratory test or molecular techniques
- num_casos_prueba_test_ac: Number of cases with laboratory rapid antibody test
- num_casos_prueba_ag: Number of cases with laboratory antigen detection test
- num_casos_prueba_elisa: Number of cases with high resolution serology laboratory test (ELISA/ECLIA/CLIA)
- num_casos_prueba_desconocida: Number of cases without information on the laboratory test
casos_hosp_uci_def_sexo_edad_provres.csv: Number of cases, hospitalizations, ICU admissions and deaths by sex, age and province of residence
- provincia_iso: ISO code of the province of residence. NC (not stated)
- sexo: Sex of the cases: H (man), M (woman), NC (not stated)
- grupo_edad: Age group to which the case belongs: 0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, ≥80 years. NC: not stated.
- fecha: Date of registry. Cases: In cases prior to May 11, the date of diagnosis is used, in its absence the date of declaration to the community and, in its absence, the key date (date used for statistics by the CCAA). In cases after May 10, in the absence of diagnosis date the key3 date is used. Hospitalizations, ICU admissions, deaths: hospitalized cases are represented by date of hospitalization (if not, the date of diagnosis, and in failing that, the key date, the ICU cases by date of admission to the ICU (failing that, the date of diagnosis, and failing that, the key date) and deaths by date of death (if not, the date of diagnosis, and if not, the key date.).
- num_casos: Number of confirmed reported cases with a positive diagnostic test for active infection (PDIA) as established in the Early Detection Strategy,...
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh have created a database of posterior-to-anterior (PA) or anterior-to-posterior (AP) X-rays images for COVID-19, Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). Currently, the database includes 423 positive COVID-19 images, 134 positive SARS images and 144 positive MERS images with the corresponding lung masks.
Image Formats - All the images are in Portable Network Graphics (PNG) file format.
Objective Researchers can use this database to produce useful and impactful scholarly work on COVID-19, which can help in tackling this pandemic.
Citation Please cite the following paper if you used this dataset
Tahir, A., Qiblawey, Y., Khandakar, A. et al. Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. Cogn Comput (2022). https://doi.org/10.1007/s12559-021-09955-1
Also Cite this dataset as following
@misc{yazan qiblawey_muhammad chowdhury_anas Tahir_amith khandakar_tawsifur rahman_uzair khurshid_2020, title={COVID-19, SARS, MERS X-ray Images Dataset}, url={https://www.kaggle.com/dsv/1572508}, DOI={10.34740/KAGGLE/DSV/1572508}, publisher={Kaggle}, author={Yazan Qiblawey and Muhammad Chowdhury and Anas Tahir and Amith Khandakar and Tawsifur Rahman and Uzair Khurshid}, year={2020} }
Acknowledgments Thanks to Italian Society of Medical and Interventional Radiology (SIRM) COVID-19 Database [1], Novel Corona Virus 2019 Dataset, Radiopaedia, Chest Imaging (Spain) at thread reader and online articles and news-portals (until April 16th), SIRM COVID-19 database, Joseph Paul Cohen et al.[2] database.
References [1] S.I. S. o. M. a. I. Radiology. (2020). COVID-19 Database. Available: https://www.sirm.org/category/senza-categoria/covid-19/ [2] Joseph Paul Cohen and Paul Morrison and Lan Dao, "COVID-19 image data collection", arXiv:2003.11597, 2020 https://github.com/ieee8023/covid-chestxray-dataset.
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TwitterThe project’s main aim is to explore the discursive functions of similes used to communicate the fist waves of Covid-19 pandemic in digital newspapers in 2020. The dataset includes 200 news items (100 English and 100 Spanish) containing both the string ‘TARGET is like SOURCE’ where virus or coronavirus is either the target, that is, the concept that is described (‘(CORONA)VIRUS is like X’), or the source, i.e. the concept that lends its properties for another, usually more abstract, one (‘X is like A VIRUS’).
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TwitterTlevision was Spain's medium of choice for reliable news and information about the coronavirus (COVID-19) outbreak according to a survey conducted in March 2020. This study reveals that 85 percent of Spaniards use this channel to keep up to speed on the latest updates about the outbreak, whereas only 13 percent read print press for the same purpose.