100+ datasets found
  1. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Jul 13, 2022
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    Statista (2022). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  2. Breakdown of COVID-19 deaths in France 2021, by age group

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Breakdown of COVID-19 deaths in France 2021, by age group [Dataset]. https://www.statista.com/statistics/1107434/victims-coronavirus-age-france/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Jun 22, 2021
    Area covered
    France
    Description

    The Covid-19 pandemic strongly impacted the state of health in France. Furthermore, people among the French population were not impacted the same way. The virus indeed appeared more lethal depending one the age of people. The most vulnerable ones were elderly people. As of June 22, 2021, 73 percent of people aged 75 years and older were victims of the novel coronavirus (Covid-19) in France.

  3. COVID-19 deaths reported in the U.S. as of June 14, 2023, by age

    • statista.com
    + more versions
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    Statista, COVID-19 deaths reported in the U.S. as of June 14, 2023, by age [Dataset]. https://www.statista.com/statistics/1191568/reported-deaths-from-covid-by-age-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Jun 14, 2023
    Area covered
    United States
    Description

    Between the beginning of January 2020 and June 14, 2023, of the 1,134,641 deaths caused by COVID-19 in the United States, around 307,169 had occurred among those aged 85 years and older. This statistic shows the number of coronavirus disease 2019 (COVID-19) deaths in the U.S. from January 2020 to June 2023, by age.

  4. Single year of age and average age of death of people whose death was due to...

    • ons.gov.uk
    xlsx
    Updated Aug 23, 2023
    + more versions
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    Office for National Statistics (2023). Single year of age and average age of death of people whose death was due to or involved coronavirus (COVID-19) [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/singleyearofageandaverageageofdeathofpeoplewhosedeathwasduetoorinvolvedcovid19
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    xlsxAvailable download formats
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Provisional deaths registration data for single year of age and average age of death (median and mean) of persons whose death involved coronavirus (COVID-19), England and Wales. Includes deaths due to COVID-19 and breakdowns by sex.

  5. Understanding the Impact of COVID-19 on Victim Service Provision:...

    • icpsr.umich.edu
    Updated Aug 18, 2025
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    Feeney, Hannah; Pfeffer, Rebecca (2025). Understanding the Impact of COVID-19 on Victim Service Provision: Challenges, Innovations, and Lessons Learned, 8 U.S. counties, 2022-2023 [Dataset]. http://doi.org/10.3886/ICPSR39019.v2
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    Dataset updated
    Aug 18, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Feeney, Hannah; Pfeffer, Rebecca
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/39019/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39019/terms

    Time period covered
    2022 - 2023
    Area covered
    Massachusetts, Texas, Illinois, Washington, United States
    Description

    The COVID-19 pandemic had a disproportionate impact on victims of crime and community-based victim service provider (VSP) agencies were tasked with maintaining accessibility to their critical services. This research study sought to understand the impact of the COVID-19 pandemic on service provisions for victims of gender-based violence, including survivors of sexual assault/abuse, IPV, or sex trafficking in eight U.S. counties that vary in geography, urbanicity, and sociopolitical settings.

  6. Data from: Influence of the COVID-19 pandemic on the epidemiological profile...

    • scielo.figshare.com
    xls
    Updated May 30, 2023
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    LUIZ CARLOS VON-BAHTEN; ALIANA LUNARDI ZVICKER; ANGEL ADRIANY DA SILVA; BEATRIZ ZANUTTO SALVIATO; HELOÍSA MORO TEIXEIRA; PAULA KAORI ANDO; RAFAELLA STRADIOTTO BERNARDELLI (2023). Influence of the COVID-19 pandemic on the epidemiological profile of the initial care of victims of falls [Dataset]. http://doi.org/10.6084/m9.figshare.22256531.v1
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    LUIZ CARLOS VON-BAHTEN; ALIANA LUNARDI ZVICKER; ANGEL ADRIANY DA SILVA; BEATRIZ ZANUTTO SALVIATO; HELOÍSA MORO TEIXEIRA; PAULA KAORI ANDO; RAFAELLA STRADIOTTO BERNARDELLI
    License

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

    Description

    ABSTRACT Objective: to assess the epidemiological profile of trauma patients from fall from the same level (FSL) and fall from an elevated level (FEL) during the COVID-19 pandemic, and to compare it with data from different levels of restriction (flags) and data prior to the pandemic. Method: a cross-sectional study with a probability sample of the medical records of patients aged 18 years or older admitted to the emergency room due to falls, from June 2020 to May 2021. Epidemiological data, such as sex, age and injuries were analyzed, as well the current level of restriction. The three restriction periods were compared between then and the proportion of admissions due to falls was compared with the period from December 2016 to February 2018. Results: a total of 296 admissions were evaluated, 69.9% were victims of FSL and 30.1% of FEL. The mean age was 57.6 years, and 45.6% were over 60 years old. Admissions among men predominated, and 40.2% of patients required hospitalization. During the red flag period, there were proportionally more injuries to the head and neck (p=0.016), injuries to extremities (p=0.015) and neurological trauma (p

  7. T

    CORONAVIRUS DEATHS by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
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    TRADING ECONOMICS (2020). CORONAVIRUS DEATHS by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/coronavirus-deaths
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Mar 4, 2020
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for CORONAVIRUS DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  8. COVID-19 deaths worldwide as of May 2, 2023, by country and territory

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). COVID-19 deaths worldwide as of May 2, 2023, by country and territory [Dataset]. https://www.statista.com/statistics/1093256/novel-coronavirus-2019ncov-deaths-worldwide-by-country/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had spread to almost every country in the world, and more than 6.86 million people had died after contracting the respiratory virus. Over 1.16 million of these deaths occurred in the United States.

    Waves of infections Almost every country and territory worldwide have been affected by the COVID-19 disease. At the end of 2021 the virus was once again circulating at very high rates, even in countries with relatively high vaccination rates such as the United States and Germany. As rates of new infections increased, some countries in Europe, like Germany and Austria, tightened restrictions once again, specifically targeting those who were not yet vaccinated. However, by spring 2022, rates of new infections had decreased in many countries and restrictions were once again lifted.

    What are the symptoms of the virus? It can take up to 14 days for symptoms of the illness to start being noticed. The most commonly reported symptoms are a fever and a dry cough, leading to shortness of breath. The early symptoms are similar to other common viruses such as the common cold and flu. These illnesses spread more during cold months, but there is no conclusive evidence to suggest that temperature impacts the spread of the SARS-CoV-2 virus. Medical advice should be sought if you are experiencing any of these symptoms.

  9. f

    The total number of casualties and confirmed cases as of April 25 and...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Ka-Ming Tam; Nicholas Walker; Juana Moreno (2023). The total number of casualties and confirmed cases as of April 25 and projected total deaths and cases by September 1, in six states. [Dataset]. http://doi.org/10.1371/journal.pone.0240877.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ka-Ming Tam; Nicholas Walker; Juana Moreno
    License

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

    Description

    The total number of casualties and confirmed cases as of April 25 and projected total deaths and cases by September 1, in six states.

  10. Total number of U.S. COVID-19 cases and deaths April 26, 2023

    • statista.com
    Updated Apr 26, 2023
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    Statista (2023). Total number of U.S. COVID-19 cases and deaths April 26, 2023 [Dataset]. https://www.statista.com/statistics/1101932/coronavirus-covid19-cases-and-deaths-number-us-americans/
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    Dataset updated
    Apr 26, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of April 26, 2023, the number of both confirmed and presumptive positive cases of the COVID-19 disease reported in the United States had reached over 104 million with over 1.1 million deaths reported among these cases.

    Coronavirus deaths by age in the U.S. Daily new cases of COVID-19 hit record highs in the United States at the beginning of 2022. Underlying health conditions can worsen cases of coronavirus, and case fatality rates among confirmed COVID-19 patients increase with age. The highest number of deaths from COVID-19 have been among those aged 85 years and older, with this age group accounting for over 300 thousand deaths.

    Where has this coronavirus come from? Coronaviruses are a large group of viruses transmitted between animals and people that cause illnesses ranging from the common cold to more severe diseases. The novel coronavirus that is currently infecting humans was already circulating among certain animal species. The first human case of this new coronavirus strain was reported in China at the end of December 2019. The coronavirus was named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and its associated disease is known as COVID-19.

  11. g

    Vietnam approves $2.6 billion support package for Covid-19 crisis victims |...

    • gimi9.com
    Updated Mar 23, 2025
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    (2025). Vietnam approves $2.6 billion support package for Covid-19 crisis victims | gimi9.com [Dataset]. https://gimi9.com/dataset/mekong_vietnam-approves-2-6-billion-support-package-for-covid-19-crisis-victims
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    Dataset updated
    Mar 23, 2025
    Area covered
    Vietnam
    Description

    🇻🇳 베트남

  12. Coronavirus (COVID-19) deaths in Italy as of January 2025

    • statista.com
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    Statista, Coronavirus (COVID-19) deaths in Italy as of January 2025 [Dataset]. https://www.statista.com/statistics/1104964/coronavirus-deaths-since-february-italy/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 24, 2020 - Jan 8, 2025
    Area covered
    Italy, Europe
    Description

    Since the spread of the coronavirus (COVID-19) in Italy, started in February 2020, many people who contracted the infection died. The number of deaths amounted to 198,683 as of January 8, 2025. On December 3, 2020, 993 patients died, the highest daily toll since the start of the pandemic. The region with the highest number of deaths was Lombardy, which is also the region that registered the highest number of coronavirus cases. Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of November 2023, roughly 85 percent of the total Italian population was fully vaccinated. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  13. f

    Clinical course and follow-up outcome of 72 moderate survivors with...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated May 13, 2021
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    Liu, Qi; Tang, Shaohui; Wen, Guiyan; Meng, Xinzhou; Chen, Yanfang; Shi, Ying; Xiong, Jie; Ding, Yuanjin; Chen, Zhaolin; Peng, Xiaojuan; Li, Qing (2021). Clinical course and follow-up outcome of 72 moderate survivors with COVID-19. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000912775
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    Dataset updated
    May 13, 2021
    Authors
    Liu, Qi; Tang, Shaohui; Wen, Guiyan; Meng, Xinzhou; Chen, Yanfang; Shi, Ying; Xiong, Jie; Ding, Yuanjin; Chen, Zhaolin; Peng, Xiaojuan; Li, Qing
    Description

    Clinical course and follow-up outcome of 72 moderate survivors with COVID-19.

  14. Rates of deaths involving the coronavirus (COVID-19) by ethnic group,...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 16, 2020
    + more versions
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    Office for National Statistics (2020). Rates of deaths involving the coronavirus (COVID-19) by ethnic group, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/ratesofdeathsinvolvingthecoronaviruscovid19byethnicgroupenglandandwales
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    xlsxAvailable download formats
    Dataset updated
    Oct 16, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Rates of coronavirus (COVID-19) deaths by ethnic group in England and Wales.

  15. d

    Data from: Early postmortem brain MRI findings in COVID-19 non-survivors

    • search.dataone.org
    • datadryad.org
    Updated Jun 27, 2025
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    Tim Coolen; Valentina Lolli; Niloufar Sadeghi; Antonin Rovaï; Nicola Trotta; Fabio Silvio Taccone; Jacques Creteur; Sophie Henrard; Jean-Christophe Goffard; Olivier Dewitte; Gilles Naeije; Serge Goldman; Xavier De Tiège (2025). Early postmortem brain MRI findings in COVID-19 non-survivors [Dataset]. http://doi.org/10.5061/dryad.4qrfj6q7p
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Tim Coolen; Valentina Lolli; Niloufar Sadeghi; Antonin Rovaï; Nicola Trotta; Fabio Silvio Taccone; Jacques Creteur; Sophie Henrard; Jean-Christophe Goffard; Olivier Dewitte; Gilles Naeije; Serge Goldman; Xavier De Tiège
    Time period covered
    Jun 16, 2020
    Description

    Objectives:Â The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is considered to have potential neuro-invasiveness that might lead to acute brain disorders or contribute to respiratory distress in patients with coronavirus disease 2019 (COVID-19). This study investigates the occurrence of structural brain abnormalities in non-survivors of COVID-19 in a virtopsy framework.

    Methods:Â In this prospective, monocentric, case series study, consecutive patients who fulfilled the following inclusion criteria benefited from an early postmortem structural brain MRI: death <24 hours, SARS-CoV-2 detection on nasopharyngeal swab specimen, chest computerized tomographic (CT) scan suggestive of COVID-19, absence of known focal brain lesion, and MRI compatibility.Â

    Results: Among the 62 patients who died from COVID-19 from 31/03/2020 to 24/04/2020 at our institution, 19 decedents fulfilled the inclusion criteria. Parenchymal brain abnormalities were observed in 4 decedents: subcort...

  16. GISCorps Builds an Authoritative Map of COVID-19 Testing Sites

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Apr 29, 2020
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    Esri’s Disaster Response Program (2020). GISCorps Builds an Authoritative Map of COVID-19 Testing Sites [Dataset]. https://coronavirus-resources.esri.com/documents/9d0b4b4ef9764284a265e8a46da8fb3d
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    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    GISCorps quickly marshaled its members to build a nationwide map of COVID-19 testing sites.Key TakeawaysGISCorps rallies to provide quick, expert mapping help in times of crisis.Volunteers aggregate data on testing sites to create an authoritative national map.Additional map project memorializes victims and survivors of COVID-19._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  17. Data from: Characteristics of injuries related to traffic crashes in Israel...

    • tandf.figshare.com
    docx
    Updated Apr 15, 2024
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    Yaniv Yonai; Merav Ben Natan; David Maman; Ofir Ezra; Yaron Berkovich (2024). Characteristics of injuries related to traffic crashes in Israel before and during the COVID-19 pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.25499476.v1
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    docxAvailable download formats
    Dataset updated
    Apr 15, 2024
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Yaniv Yonai; Merav Ben Natan; David Maman; Ofir Ezra; Yaron Berkovich
    License

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

    Area covered
    Israel
    Description

    This study explored differences in patient characteristics, injury characteristics, treatment modalities, and treatment outcomes among patients who presented to the Emergency Department (ED) following traffic crashes during the COVID-19 period (from March 15, 2020 to March 15, 2022) in comparison to the previous corresponding period between 2017 and 2019. The study is a retrospective chart review study. The study included a random sample of 610 patients who presented to the ED of a major hospital located in northern-central Israel following traffic crashes: 305 patients who presented during the COVID-19 period (from March 15, 2020 to March 15, 2022) and 305 patients who presented during the previous corresponding period (from March 15, 2017 to March 15, 2019). Socio-demographic data, data regarding the traffic crashes, and medical data of the patients were collected from their medical records, and the data were compared. In the context of the COVID-19 period, a notable surge in the percentage of cyclist victims was evident, marking an increase from 7.5% to 19% compared to the corresponding period. Conversely, the incidence of pedestrian victims during the COVID-19 period dropped to 19.7%, in contrast to 30.8% in the corresponding period. Notably, patients involved in pedestrian crashes amid the COVID-19 period exhibited a shorter hospital stay (M = 2.8 days, SD = 3.3) compared to the corresponding period (M = 4.3 days, SD = 7.1) [t = 1.8 (df = 141), p 

  18. D

    VICTIMS-study 2018-2021, victims and corona

    • dataverse.nl
    Updated Nov 30, 2022
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    Peter van der Velden; Carlo Contino; Marcel Das; Joost Leenen; Lutz Wittmann; Peter van der Velden; Carlo Contino; Marcel Das; Joost Leenen; Lutz Wittmann (2022). VICTIMS-study 2018-2021, victims and corona [Dataset]. http://doi.org/10.34894/69C5NM
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    pdf(455964), pdf(187351), application/x-spss-syntax(20089), application/x-spss-syntax(82483), xlsx(52322), application/x-spss-syntax(69228), application/x-spss-syntax(37028), application/x-spss-syntax(64813), pdf(340227), application/x-spss-syntax(70903)Available download formats
    Dataset updated
    Nov 30, 2022
    Dataset provided by
    DataverseNL
    Authors
    Peter van der Velden; Carlo Contino; Marcel Das; Joost Leenen; Lutz Wittmann; Peter van der Velden; Carlo Contino; Marcel Das; Joost Leenen; Lutz Wittmann
    License

    https://dataverse.nl/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34894/69C5NMhttps://dataverse.nl/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34894/69C5NM

    Description

    Victims of violence, accidents and threats are at risk for mental health problems. Lower coping self-efficacy and social support levels increase this risk. Although highly relevant, it is unknown if the coronavirus disease 2019 (COVID-19) pandemic amplifies these risks. To examine these risks, data was extracted from four surveys of the VICTIMS study (March 2018, 2019, 2020, 2021), based on a random sample of the Dutch population (LISS-panel). Multivariate logistic regression analyses and mixed-effects models were used to examine differences between the two victim groups (2019: n = 421, 2021: n = 319) and non-victims (n = 3245).

  19. Deaths in Care Homes caused by COVID-19

    • kaggle.com
    zip
    Updated May 21, 2020
    + more versions
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    Marília Prata (2020). Deaths in Care Homes caused by COVID-19 [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadscarehomecsv
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    zip(4186 bytes)Available download formats
    Dataset updated
    May 21, 2020
    Authors
    Marília Prata
    Description

    Context

    Provisional counts of deaths in care homes caused by the coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

    https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/numberofdeathsincarehomesnotifiedtothecarequalitycommissionengland health.data@ons.gov.uk

    Content

    Number of deaths in care homes notified to the Care Quality Commission, England

    Acknowledgements

    https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/numberofdeathsincarehomesnotifiedtothecarequalitycommissionengland health.data@ons.gov.uk

    Photo by Susan Yin on Unsplash

    Inspiration

    Across the world, figures reveal horrific toll of care home deaths. Statistics showed that Covid-19’s elderly victims have paid a heavy price due to the Pandemic.

  20. H

    Immunity among covid 19 survivors

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jun 1, 2023
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    Eman Khashaba (2023). Immunity among covid 19 survivors [Dataset]. http://doi.org/10.7910/DVN/O3QGSS
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Eman Khashaba
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Background: COVID-19 is a global pandemic that affected millions of people all over the world since 2019. Infection with COVID-19 initiates a humoral immune response that produces antibodies against specific viral antigens which in turn is supposed to provide immunity against reinfection for a period of time. The aim of current research is to study the kinetics of IgM and IgG antibodies against SARS-CoV-2. Method: 117 post COVID-19 participants were enrolled in the study. Qualitative assessment of IgM and IgG antibodies over 6 months (3 visits) post recovery was conducted. Results: Current study revealed significant reduction in IgM and IgG titers between 1st and 2nd visits (p< 0.001). By the end of 6 months, antibody titer declined by 78.8% from 1st visit for IgM and by 49.2% for IgG antibodies. Regarding younger age and male gender, statistically significant persistence of IgM antibodies was noticed at the 6 months follow up. Also, statistically significant persistent IgG immunity was found in male patients and diabetics by the end of 6 months follow up. Conclusion: There was significant waning of IgM and IgG titers over a period of 6 months follow up was observed. The persistence of positive IgM and IgG antibodies by the end of 6 months was variable due to differences in age, gender and presence of diabetes mellitus.

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Statista (2022). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

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163 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 13, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

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.

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