21 datasets found
  1. T

    Portugal Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 18, 2023
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    TRADING ECONOMICS (2023). Portugal Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/portugal/coronavirus-deaths
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 18, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    Portugal
    Description

    Portugal recorded 26668 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Portugal reported 5584388 Coronavirus Cases. This dataset includes a chart with historical data for Portugal Coronavirus Deaths.

  2. Number of coronavirus (COVID-19) cases in Portugal since March 2020

    • statista.com
    Updated Oct 13, 2023
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    Statista (2023). Number of coronavirus (COVID-19) cases in Portugal since March 2020 [Dataset]. https://www.statista.com/statistics/1107217/coronavirus-cases-development-portugal/
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    Dataset updated
    Oct 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Portugal
    Description

    The first two cases of coronavirus (COVID-19) were confirmed in Portugal on March 2, 2020. The number of cases in Portugal has since risen to 5,557,941, with 133 new cases reported on January 3, 2023.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. P

    Portugal New Covid cases per month, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
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    Globalen LLC, Portugal New Covid cases per month, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Portugal/covid_new_cases/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    Portugal
    Description

    New Covid cases per month in Portugal, March, 2023 The most recent value is 7494 new Covid cases as of March 2023, an increase compared to the previous value of 5838 new Covid cases. Historically, the average for Portugal from February 2020 to March 2023 is 146744 new Covid cases. The minimum of 0 new Covid cases was recorded in February 2020, while the maximum of 1320223 new Covid cases was reached in January 2022. | TheGlobalEconomy.com

  4. y

    Portugal Coronavirus Cases Currently Hospitalized

    • ycharts.com
    html
    Updated Nov 16, 2022
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    Our World in Data (2022). Portugal Coronavirus Cases Currently Hospitalized [Dataset]. https://ycharts.com/indicators/portugal_coronavirus_cases_currently_hospitalized
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    htmlAvailable download formats
    Dataset updated
    Nov 16, 2022
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Mar 3, 2020 - Nov 8, 2022
    Area covered
    Portugal
    Variables measured
    Portugal Coronavirus Cases Currently Hospitalized
    Description

    View daily updates and historical trends for Portugal Coronavirus Cases Currently Hospitalized. Source: Our World in Data. Track economic data with YChart…

  5. f

    Supplementary Material for: Risk of COVID-19 in Health Professionals: A...

    • karger.figshare.com
    docx
    Updated May 30, 2023
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    Lucaccioni H.; Costa C.; Duque M.P.; Balasegaram S.; SáMachado R. (2023). Supplementary Material for: Risk of COVID-19 in Health Professionals: A Case-Control Study, Portugal [Dataset]. http://doi.org/10.6084/m9.figshare.18857267.v1
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Karger Publishers
    Authors
    Lucaccioni H.; Costa C.; Duque M.P.; Balasegaram S.; SáMachado R.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Introduction: Health professionals face higher occupational exposure to SARS-CoV-2. We aimed to estimate the risk of COVID-19 test positivity in health professionals compared to non-health professionals. Methods: We conducted a test-negative case-control study using Portuguese national surveillance data (January to May 2020). Cases were suspected cases who tested positive for SARS-CoV-2; controls were suspected cases who tested negative. We used multivariable logistic regression modelling to estimate the odds ratio of a positive COVID-19 test (RT-PCR; primary outcome), comparing health professionals and non-health professionals (primary exposure), and adjusting for the confounding effect of demographic, clinical, and epidemiological characteristics, and the modification effect of the self-reported epidemiological link (i.e., self-reported contact with a COVID-19 case or person with COVID-19-like symptoms). Results: Health professionals had a 2-fold higher risk of a positive COVID-19 test result (aOR = 1.89, 95% CI 1.69–2.11). However, this association was strongly modified by the self-report of an epidemiological link such that, among cases who did report an epidemiological link, being a health professional was a protective factor (aOR = 0.90, 95% CI 0.82–0.98). Conclusion: Our findings suggest that health professionals might be primarily infected by unknown contacts, plausibly in the healthcare setting, but also that their occupational exposure does not systematically translate into a higher risk of transmission. We suggest that this could be interpreted in light of different types and timing of exposure, and variability in risk perception and associated preventive behaviours.

  6. y

    Portugal Coronavirus Cases Per Day

    • ycharts.com
    html
    Updated Dec 1, 2025
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    Johns Hopkins Center for Systems Science and Engineering (2025). Portugal Coronavirus Cases Per Day [Dataset]. https://ycharts.com/indicators/portugal_coronavirus_cases_per_day
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    htmlAvailable download formats
    Dataset updated
    Dec 1, 2025
    Dataset provided by
    YCharts
    Authors
    Johns Hopkins Center for Systems Science and Engineering
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 23, 2020 - Mar 9, 2023
    Area covered
    Portugal
    Variables measured
    Portugal Coronavirus Cases Per Day
    Description

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

  7. Description of data set with information on Covid-19 cases in Portugal.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Tânia Carvalho; Pedro Faria; Luís Antunes; Nuno Moniz (2023). Description of data set with information on Covid-19 cases in Portugal. [Dataset]. http://doi.org/10.1371/journal.pone.0252169.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tânia Carvalho; Pedro Faria; Luís Antunes; Nuno Moniz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Portugal
    Description

    Description of data set with information on Covid-19 cases in Portugal.

  8. Coronavirus (COVID-19) cases per 100,000 in Europe 2023, by country

    • statista.com
    Updated Jan 16, 2023
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    Statista (2023). Coronavirus (COVID-19) cases per 100,000 in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/1110187/coronavirus-incidence-europe-by-country/
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    Dataset updated
    Jan 16, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 13, 2023
    Area covered
    Europe
    Description

    As of January 13, 2023, there had been over 270 million confirmed cases of COVID-19 across the whole of Europe since the first confirmed case in January, 2020. Cyprus has the highest incidence of COVID-19 cases among its population in Europe at 71,853 per 100,000 people, followed by a rate of 64,449 in Austria. Slovenia has recorded the third highest rate of cases in Europe at 62,834 cases per 100,000. With almost 38.3 million confirmed cases, France has been the worst affected country in Europe, which translates into a rate of 58,945 cases per 100,000 population.

    Current infection rate in Europe San Marino had the highest rate of cases per 100,000 in the past week at 336, as of January 16, 2023. Cyprus and Slovenia had seven day rates of infections at 278 and 181 respectively.

    Coronavirus deaths in Europe There have been 2,169,191 recorded COVID-19 deaths in Europe since the beginning of the pandemic. Russia has the highest number of deaths recorded in a European country at over 394 thousand. Bulgaria has the highest death rate from the virus in Europe with approximately 549 deaths per 100,000 as of January 13, followed by Hungary with 496 deaths per 100,000. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  9. Latest Coronavirus COVID-19 figures for Portugal

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Portugal [Dataset]. https://covid19-today.pages.dev/countries/portugal/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Portugal
    Description

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

  10. Data from: Surveillance and high vaccination coverage: how Portugal overcame...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    tiff
    Updated May 30, 2023
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    Sandra Garrido de Barros; Denise Nogueira Cruz; Jamacy Costa Souza; Livia Angeli Silva; Maria Clara da Silva Guimarães; Morena Morais Rezende; Jairnilson Paim; Ligia Maria Vieira-da-Silva (2023). Surveillance and high vaccination coverage: how Portugal overcame the collapse and regained control of the pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.22815579.v1
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Sandra Garrido de Barros; Denise Nogueira Cruz; Jamacy Costa Souza; Livia Angeli Silva; Maria Clara da Silva Guimarães; Morena Morais Rezende; Jairnilson Paim; Ligia Maria Vieira-da-Silva
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Portugal
    Description

    Abstract The uncertainties about COVID-19 require evaluating national responses to identify successes and failures in the pandemic control. This article analyzes Portugal´s response, particularly the contribution of its health and surveillance systems in dealing with the pandemic. An integrative literature review was conducted, including consultations of observatories, documents, and institutional websites. Portugal´s response was agile and showed unified technical and political coordination, including surveillance structure using telemedicine. The reopening was supported by high testing and low positivity rates and strict rules. However, the relaxation of measures as of November/2020 resulted in an increase in cases, collapsing the health system. The response involved a consistent surveillance strategy with innovative monitoring tools, which, combined with high population adherence to vaccination, led to overcoming that moment and kept hospitalization and death rates at new disease waves at low levels. Thus, the Portuguese case discloses the risks of disease resurgence with the flexibility of measures and the population´s exhaustion in the face of restrictive measures and new variants, but also the importance of articulation between technical coordination, the political sphere, and the scientific committee.

  11. COVID-19 Open Datasets for Brazil

    • kaggle.com
    zip
    Updated Jun 7, 2020
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    Carlos Prete (2020). COVID-19 Open Datasets for Brazil [Dataset]. https://www.kaggle.com/cprete/covid19-open-datasets-for-brazil
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    zip(145397877 bytes)Available download formats
    Dataset updated
    Jun 7, 2020
    Authors
    Carlos Prete
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    Brazil
    Description

    This dataset contains three brazilian open COVID-19 datasets from June 1st, 2020. The Flu-Like Syndrome dataset contains several information about flu-like syndrome (Síndrome Gripal) patients. It contains mostly mild Flu-Like Syndrome cases, including COVID-19 confirmed cases. There is not an official codebook for this dataset, but portuguese speakers can easily infer the meaning of the columns.

    The SARS dataset (Severe Acute Respiratory Syndrome, or Síndrome Respiratória Aguda Grave - SRAG - in portuguese) contains mostly cases where hospitalization is needed (even though some of the cases from this dataset didn't need hospitalization. These cases can be filtered using the column "HOSPITA"). Part of the patients from this dataset are confirmed COVID-19 cases (the column "CLASSI_FIN" is 5 for confirmed cases). There is an official codebook for this dataset (SARS_Codebook.pdf), but unfortunately it is written in portuguese.

    The Officially Reported Cases dataset contains only confirmed COVID-19 cases that were officially reported by the government. It contains the number of cases and deaths reported until each day for each Brazilian city.

    When analyzing the data, beware of notification lag: These datasets contains the cases reported until June 1st, but notified cases usually take some days to be reported. This explains the small number of cases for dates close to June 1st in the Flu-Like Syndrome and SARS datasets.

    All datasets shared here are open datasets that were shared by the Brazilian Ministry of Health. The Flu-Like Syndrome and SARS datasets were downloaded from https://opendatasus.saude.gov.br, and the dataset for officially reported cases was downloaded from https://covid.saude.gov.br/. However, the Flu-Like Syndrome and the officially reported cases datasets were removed from these websites on June 7, 2020, and June 6, 2020, respectively.

  12. COVID-19: The First Global Pandemic of the Information Age

    • cameroon.africageoportal.com
    Updated Apr 8, 2020
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    Urban Observatory by Esri (2020). COVID-19: The First Global Pandemic of the Information Age [Dataset]. https://cameroon.africageoportal.com/datasets/UrbanObservatory::covid-19-the-first-global-pandemic-of-the-information-age
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    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.

  13. M

    Project Tycho Dataset; Counts of COVID-19 Reported In PORTUGAL: 2019-2021

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    • +1more
    + more versions
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    MIDAS Coordination Center, Project Tycho Dataset; Counts of COVID-19 Reported In PORTUGAL: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/PT.840539006
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    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in PORTUGAL: 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.

  14. m

    User Questions from Tweets on COVID-19: AnExploratory Study

    • data.mendeley.com
    • narcis.nl
    Updated Sep 16, 2020
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    Tiago de Melo (2020). User Questions from Tweets on COVID-19: AnExploratory Study [Dataset]. http://doi.org/10.17632/sch72cpyjv.1
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    Dataset updated
    Sep 16, 2020
    Authors
    Tiago de Melo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Social media platforms, such as Twitter, provide a suitable avenue for users (people or patients) concerned on health questions to discuss and share information with each other. In December 2019, a few coronavirus disease cases were first reported in China. Soon after, the World Health Organization (WHO) declared a state of emergency due to the rapid spread of the virus in other parts of the world. In this work, we used automated extraction of COVID-19 discussion from Twitter and a natural language processing (NLP) method based on topic modeling to discover the main questions related to COVID-19 from tweets. Moreover, we created a Named Entity Recognition (NER) model to identify the main entities of four different categories: disease, drug, person, and organization. Our findings can help policy makers and health care organizations to understand the issues of people on COVID-19 and it can be used to address them appropriately.

  15. f

    Data from: Massive dissemination of a SARS-CoV-2 Spike Y839 variant in...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    docx
    Updated Jan 20, 2023
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    Vítor Borges; Joana Isidro; Helena Cortes-Martins; Sílvia Duarte; Luís Vieira; Ricardo Leite; Isabel Gordo; Constantino P. Caetano; Baltazar Nunes; Regina Sá; Ana Oliveira; Raquel Guiomar; João Paulo Gomes (2023). Massive dissemination of a SARS-CoV-2 Spike Y839 variant in Portugal [Dataset]. http://doi.org/10.6084/m9.figshare.13176104.v2
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    docxAvailable download formats
    Dataset updated
    Jan 20, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Vítor Borges; Joana Isidro; Helena Cortes-Martins; Sílvia Duarte; Luís Vieira; Ricardo Leite; Isabel Gordo; Constantino P. Caetano; Baltazar Nunes; Regina Sá; Ana Oliveira; Raquel Guiomar; João Paulo Gomes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Portugal
    Description

    Genomic surveillance of SARS-CoV-2 was rapidly implemented in Portugal by the National Institute of Health in collaboration with a nationwide consortium of >50 hospitals/laboratories. Here, we track the geotemporal spread of a SARS-CoV-2 variant with a mutation (D839Y) in a potential host-interacting region involving the Spike fusion peptide, which is a target motif of anti-viral drugs that plays a key role in SARS-CoV-2 infectivity. The Spike Y839 variant was most likely imported from Italy in mid-late February and massively disseminated in Portugal during the early epidemic, becoming prevalent in the Northern and Central regions of Portugal where it represented 22% and 59% of the sampled genomes, respectively, by 30 April. Based on our high sequencing sampling during the early epidemics [15.5% (1275/8251) and 6.0% (1500/24987) of all confirmed cases until the end of March and April, respectively], we estimate that, between 14 March and 9 April (covering the epidemic exponential phase) the relative frequency of the Spike Y839 variant increased at a rate of 12.1% (6.1%–18.2%, CI 95%) every three days, being potentially associated with 24.8% (20.8–29.7%, CI 95%; 3177–4542 cases, CI 95%) of all COVID-19 cases in Portugal during this period. Our data supports population/epidemiological (founder) effects contributing to the Y839 variant superspread. The potential existence of selective advantage is also discussed, although experimental validation is required. Despite huge differences in genome sampling worldwide, SARS-CoV-2 Spike D839Y has been detected in 13 countries in four continents, supporting the need for close surveillance and functional assays of Spike variants.

  16. COVID-19 vaccination rate in European countries as of January 2023

    • statista.com
    Updated Jan 19, 2023
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    Statista (2023). COVID-19 vaccination rate in European countries as of January 2023 [Dataset]. https://www.statista.com/statistics/1196071/covid-19-vaccination-rate-in-europe-by-country/
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    Dataset updated
    Jan 19, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    As of January 18, 2023, Portugal had the highest COVID-19 vaccination rate in Europe having administered 272.78 doses per 100 people in the country, while Malta had administered 258.49 doses per 100. The UK was the first country in Europe to approve the Pfizer/BioNTech vaccine for widespread use and began inoculations on December 8, 2020, and so far have administered 224.04 doses per 100. At the latest data, Belgium had carried out 253.89 doses of vaccines per 100 population. Russia became the first country in the world to authorize a vaccine - named Sputnik V - for use in the fight against COVID-19 in August 2020. As of August 4, 2022, Russia had administered 127.3 doses per 100 people in the country.

    The seven-day rate of cases across Europe shows an ongoing perspective of which countries are worst affected by the virus relative to their population. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  17. Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country

    • statista.com
    Updated Jan 16, 2023
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    Statista (2023). Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/1111779/coronavirus-death-rate-europe-by-country/
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    Dataset updated
    Jan 16, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 13, 2023
    Area covered
    Europe
    Description

    As of January 13, 2023, Bulgaria had the highest rate of COVID-19 deaths among its population in Europe at 548.6 deaths per 100,000 population. Hungary had recorded 496.4 deaths from COVID-19 per 100,000. Furthermore, Russia had the highest number of confirmed COVID-19 deaths in Europe, at over 394 thousand.

    Number of cases in Europe During the same period, across the whole of Europe, there have been over 270 million confirmed cases of COVID-19. France has been Europe's worst affected country with around 38.3 million cases, this translates to an incidence rate of approximately 58,945 cases per 100,000 population. Germany and Italy had approximately 37.6 million and 25.3 million cases respectively.

    Current situation In March 2023, the rate of cases in Austria over the last seven days was 224 per 100,000 which was the highest in Europe. Luxembourg and Slovenia both followed with seven day rates of infections at 122 and 108 respectively.

  18. 葡萄牙 ECDC: COVID-2019: No of Cases: Portugal

    • ceicdata.com
    Updated Dec 31, 2019
    + more versions
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    CEICdata.com (2019). 葡萄牙 ECDC: COVID-2019: No of Cases: Portugal [Dataset]. https://www.ceicdata.com/zh-hans/portugal/european-centre-for-disease-prevention-and-control-coronavirus-disease-2019-covid2019/ecdc-covid2019-no-of-cases-portugal
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    Dataset updated
    Dec 31, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 3, 2020 - Dec 14, 2020
    Area covered
    葡萄牙, 葡萄牙
    Description

    (停止更新)ECDC:新冠疫情:案例数:新:葡萄牙在12-14-2020达4,044.000人,相较于12-13-2020的4,413.000人有所下降。(停止更新)ECDC:新冠疫情:案例数:新:葡萄牙数据按日更新,12-31-2019至12-14-2020期间平均值为313.000人,共350份观测结果。该数据的历史最高值出现于11-17-2020,达8,371.000人,而历史最低值则出现于05-03-2020,为-161.000人。CEIC提供的(停止更新)ECDC:新冠疫情:案例数:新:葡萄牙数据处于定期更新的状态,数据来源于European Centre for Disease Prevention and Control,数据归类于高频数据库的流行病爆发 – Table ECDC.D001: Coronavirus Disease 2019 (COVID-2019): Cases and Deaths: by EU Member States (Discontinued)。

  19. Table_2_Risk Factors for Infection, Predictors of Severe Disease, and...

    • frontiersin.figshare.com
    docx
    Updated Jun 14, 2023
    + more versions
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    Ana Rita Cruz-Machado; Sofia C. Barreira; Matilde Bandeira; Marc Veldhoen; Andreia Gomes; Marta Serrano; Catarina Duarte; Maria Rato; Bruno Miguel Fernandes; Salomé Garcia; Filipe Pinheiro; Miguel Bernardes; Nathalie Madeira; Cláudia Miguel; Rita Torres; Ana Bento Silva; Jorge Pestana; Diogo Almeida; Carolina Mazeda; Filipe Cunha Santos; Patrícia Pinto; Marlene Sousa; Hugo Parente; Graça Sequeira; Maria José Santos; João Eurico Fonseca; Vasco C. Romão (2023). Table_2_Risk Factors for Infection, Predictors of Severe Disease, and Antibody Response to COVID-19 in Patients With Inflammatory Rheumatic Diseases in Portugal—A Multicenter, Nationwide Study.DOCX [Dataset]. http://doi.org/10.3389/fmed.2022.901817.s002
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    docxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Ana Rita Cruz-Machado; Sofia C. Barreira; Matilde Bandeira; Marc Veldhoen; Andreia Gomes; Marta Serrano; Catarina Duarte; Maria Rato; Bruno Miguel Fernandes; Salomé Garcia; Filipe Pinheiro; Miguel Bernardes; Nathalie Madeira; Cláudia Miguel; Rita Torres; Ana Bento Silva; Jorge Pestana; Diogo Almeida; Carolina Mazeda; Filipe Cunha Santos; Patrícia Pinto; Marlene Sousa; Hugo Parente; Graça Sequeira; Maria José Santos; João Eurico Fonseca; Vasco C. Romão
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveTo identify risk factors for SARS-CoV-2 infection and for severe/critical COVID-19, and to assess the humoral response after COVID-19 in these patients.MethodsNationwide study of adult patients with inflammatory RMDs prospectively followed in the Rheumatic Diseases Portuguese Register—Reuma.pt—during the first 6 months of the pandemic. We compared patients with COVID-19 with those who did not develop the disease and patients with mild/moderate disease with those exhibiting severe/critical COVID-19. IgG antibodies against SARS-CoV-2 were measured ≥3 months after infection and results were compared with matched controls.Results162 cases of COVID-19 were registered in a total of 6,363 appointments. Patients treated with TNF inhibitors (TNFi; OR = 0.160, 95% CI 0.099–0.260, P < 0.001) and tocilizumab (OR 0.147, 95% CI 0.053–0.408, P < 0.001) had reduced odds of infection. Further, TNFi tended to be protective of severe and critical disease. Older age, major comorbidities, and rituximab were associated with an increased risk of infection and worse prognosis. Most patients with inflammatory RMDs (86.2%) developed a robust antibody response. Seroconversion was associated with symptomatic disease (OR 13.46, 95% CI 2.21–81.85, P = 0.005) and tended to be blunted by TNFi (OR 0.17, 95% CI 0.03–1.05; P = 0.057).ConclusionsTNFi and tocilizumab reduced the risk of infection by SARS-CoV-2. Treatment with TNFi also tended to reduce rates of severe disease and seroconversion. Older age, general comorbidities and rituximab were associated with increased risk for infection and worse prognosis, in line with previous reports. Most patients with RMDs developed a proper antibody response after COVID-19, particularly if they had symptomatic disease.

  20. Full COVID-19 vaccination uptake in the European Economic Area (EEA) in 2023...

    • statista.com
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    Statista, Full COVID-19 vaccination uptake in the European Economic Area (EEA) in 2023 [Dataset]. https://www.statista.com/statistics/1218676/full-covid-19-vaccination-uptake-in-europe/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    As of January 17, 2023, 96.3 percent of adults in Ireland had been fully vaccinated against COVID-19. According to the manufacturers of the majority of COVID-19 vaccines currently in use in Europe, being fully vaccinated is when a person receives two doses of the vaccine. In Portugal, 94.2 percent of adults had received a full course of the COVID-19 vaccination, as well as 93.9 percent of those in Malta had been fully vaccinated. On the other hand, only 35.8 percent of adults in Bulgaria had been fully vaccinated.

    Furthermore, the seven-day rate of cases across Europe shows which countries are currently worst affected by the situation. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Share
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TRADING ECONOMICS (2023). Portugal Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/portugal/coronavirus-deaths

Portugal Coronavirus COVID-19 Deaths

Portugal Coronavirus COVID-19 Deaths - Historical Dataset (2020-01-04/2023-05-17)

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xml, excel, json, csvAvailable download formats
Dataset updated
May 18, 2023
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 4, 2020 - May 17, 2023
Area covered
Portugal
Description

Portugal recorded 26668 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Portugal reported 5584388 Coronavirus Cases. This dataset includes a chart with historical data for Portugal Coronavirus Deaths.

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