4 datasets found
  1. Hospital emergency data - SOS Médecins relating to the COVID-19 epidemic in...

    • ckan.mobidatalab.eu
    Updated Apr 16, 2020
    + more versions
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    Santé Publique France (2020). Hospital emergency data - SOS Médecins relating to the COVID-19 epidemic in Île-de-France [Dataset]. https://ckan.mobidatalab.eu/dataset/emergency-hospital-data-sos-doctors-relating-to-the-covid-19-epidemic-in-ile-de-france
    Explore at:
    https://www.iana.org/assignments/media-types/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/application/gpx+xml, https://www.iana.org/assignments/media-types/text/turtle, https://www.iana.org/assignments/media-types/text/plain, https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/text/n3, https://www.iana.org/assignments/media-types/application/octet-stream, https://www.iana.org/assignments/media-types/application/vnd.google-earth.kml+xml, https://www.iana.org/assignments/media-types/application/ld+json, https://www.iana.org/assignments/media-types/application/rdf+xml, https://www.iana.org/assignments/media-types/application/zipAvailable download formats
    Dataset updated
    Apr 16, 2020
    Dataset provided by
    Santé publique France
    Area covered
    France, Île-de-France
    Description

    Public Health France's mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 epidemic, Public Health France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the different scenarios and implementing actions to prevent and limit the transmission of this virus on the national territory.

    The data is at the departmental scale for Île-de-France .

    This dataset presents the following data:

    Daily data from SOS doctors and hospital emergencies by department, gender and age group of the patient: number of visits to the emergency room for suspicion of COVID-19, total number of visits to the emergency room, number of hospitalizations among visits to the emergency room for suspicion of COVID-19, total number of SOS Médecins medical procedures for suspicion of COVID-19, numbers of SOS Médecins medical procedures.

    Note that:

    • The case reporting system is not exhaustive and the number of reporting establishments varies over time;
    • Certain patients, present in the database hospital data at a given time, are removed from the database by health establishments when the patient's biological result is negative for COVID-19;
    • For some patients, the age group was not identified in the database. This can lead to a discrepancy between the sum of all the age classes of an indicator and the total number of this indicator;
    • For some patients, gender was not identified in the database. Which can lead to a discrepancy between the M/F sum of an indicator and the total number of this indicator.

    Enrichment

    iso-3166 codes and geographic locations have been added.

    < p style='font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;'>
    Warning: data being created. May contain anomalies.

  2. O

    COVID-19 Daily Surveillance Data Public

    • data.sanantonio.gov
    • cosacovid-cosagis.hub.arcgis.com
    Updated Jan 18, 2023
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    COVID-19 (2023). COVID-19 Daily Surveillance Data Public [Dataset]. https://data.sanantonio.gov/dataset/covid-19-daily-surveillance-data-public
    Explore at:
    gpkg, kml, gdb, txt, geojson, zip, html, xlsx, csv, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jan 18, 2023
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description
    This is the daily information that are used in the public CoVID-19 Surveillance, Trends, and Progress and Warnings Dashboards. Each field is updated after 6pm CST Monday through Friday. Weekend data is added on Monday as individual records, along with Monday's reported data. The Surveillance Dashboard is live and available here.

    Backlog CoVID-19 cases are cases that are reported more than 14-days after the event date (date of Test or date of onset of symptoms). Backlog cases are reported along with the Monday Cumulative Cases, but are not included in in the daily Case Change.

    This data reflects information provided by the City of San Antonio Metro Health Department, and is released Monday through Friday at 6PM on the City of San Antonio CoVID-19 website.
  3. f

    Table_4_Global, Regional, and National Burden of Myocarditis From 1990 to...

    • frontiersin.figshare.com
    docx
    Updated Jun 6, 2023
    + more versions
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    Xiqiang Wang; Xiang Bu; Linyan Wei; Jing Liu; Dandan Yang; Douglas L. Mann; Aiqun Ma; Tomohiro Hayashi (2023). Table_4_Global, Regional, and National Burden of Myocarditis From 1990 to 2017: A Systematic Analysis Based on the Global Burden of Disease Study 2017.docx [Dataset]. http://doi.org/10.3389/fcvm.2021.692990.s007
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers
    Authors
    Xiqiang Wang; Xiang Bu; Linyan Wei; Jing Liu; Dandan Yang; Douglas L. Mann; Aiqun Ma; Tomohiro Hayashi
    License

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

    Description

    Objective: The global trends in myocarditis burden over the past two decades remain poorly understood and might be increasing during the coronavirus disease 2019 (COVID-19) worldwide pandemic. This study aimed to provide comprehensive estimates of the incidence, mortality, and disability-adjusted life years (DALYs) for myocarditis globally from 1990 to 2017.Methods: Data regarding the incidence, mortality, DALY, and estimated annual percentage change (EAPC) between 1990 and 2017 for myocarditis worldwide were collected and calculated from the 2017 Global Burden of Disease study. We additionally calculated the myocarditis burden distribution based on the Socio-Demographic Index (SDI) quintile and Human Development Index (HDI).Results: The incidence cases of myocarditis in 2017 was 3,071,000, with a 59.6% increase from 1990, while the age-standardized incidence rate (ASIR) was slightly decreased. The number of deaths due to myocarditis increased gradually from 27,120 in 1990 to 46,490 in 2017. The middle SDI quintile showed the highest number of myocarditis-related deaths. On the contrary, the global age-standardized death rate (ASDR) decreased with an overall EAPC of −1.4 [95% uncertainty interval (UI) = −1.8 to −1.0]. Similar to ASDR, the global age-standardized DALY rate also declined, with an EAPC of −1.50 (95% UI = −2.30 to −0.8) from 1990 to 2017. However, there was a 12.1% increase in the number of DALYs in the past 28 years; the middle SDI and low-middle SDI quintiles contributed the most to the DALY number in 2017. We also observed significant positive correlations between the EPAC of age-standardized rate and HDI for both death and DALY in 2017.Conclusions: Globally, the ASIR, ASDR, and age-standardized DALY rate of myocarditis decreased slightly from 1990 to 2017. The middle SDI quintile had the highest level of ASIR, ASDR, and age-standardized DALY rate, indicating that targeted control should be developed to reduce the myocarditis burden especially based on the regional socioeconomic status. Our findings also provide a platform for further investigation into the myocarditis burden in the era of COVID-19.

  4. f

    Standardized mortality ratios of non-COVID-19 ICU patients in each wave of...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Shusuke Watanabe; Jung-ho Shin; Takuya Okuno; Tetsuji Morishita; Daisuke Takada; Susumu Kunisawa; Yuichi Imanaka (2023). Standardized mortality ratios of non-COVID-19 ICU patients in each wave of the epidemic. [Dataset]. http://doi.org/10.1371/journal.pone.0273952.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shusuke Watanabe; Jung-ho Shin; Takuya Okuno; Tetsuji Morishita; Daisuke Takada; Susumu Kunisawa; Yuichi Imanaka
    License

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

    Description

    Standardized mortality ratios of non-COVID-19 ICU patients in each wave of the epidemic.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
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Santé Publique France (2020). Hospital emergency data - SOS Médecins relating to the COVID-19 epidemic in Île-de-France [Dataset]. https://ckan.mobidatalab.eu/dataset/emergency-hospital-data-sos-doctors-relating-to-the-covid-19-epidemic-in-ile-de-france
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Hospital emergency data - SOS Médecins relating to the COVID-19 epidemic in Île-de-France

Explore at:
https://www.iana.org/assignments/media-types/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/application/gpx+xml, https://www.iana.org/assignments/media-types/text/turtle, https://www.iana.org/assignments/media-types/text/plain, https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/text/n3, https://www.iana.org/assignments/media-types/application/octet-stream, https://www.iana.org/assignments/media-types/application/vnd.google-earth.kml+xml, https://www.iana.org/assignments/media-types/application/ld+json, https://www.iana.org/assignments/media-types/application/rdf+xml, https://www.iana.org/assignments/media-types/application/zipAvailable download formats
Dataset updated
Apr 16, 2020
Dataset provided by
Santé publique France
Area covered
France, Île-de-France
Description

Public Health France's mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 epidemic, Public Health France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the different scenarios and implementing actions to prevent and limit the transmission of this virus on the national territory.

The data is at the departmental scale for Île-de-France .

This dataset presents the following data:

Daily data from SOS doctors and hospital emergencies by department, gender and age group of the patient: number of visits to the emergency room for suspicion of COVID-19, total number of visits to the emergency room, number of hospitalizations among visits to the emergency room for suspicion of COVID-19, total number of SOS Médecins medical procedures for suspicion of COVID-19, numbers of SOS Médecins medical procedures.

Note that:

  • The case reporting system is not exhaustive and the number of reporting establishments varies over time;
  • Certain patients, present in the database hospital data at a given time, are removed from the database by health establishments when the patient's biological result is negative for COVID-19;
  • For some patients, the age group was not identified in the database. This can lead to a discrepancy between the sum of all the age classes of an indicator and the total number of this indicator;
  • For some patients, gender was not identified in the database. Which can lead to a discrepancy between the M/F sum of an indicator and the total number of this indicator.

Enrichment

iso-3166 codes and geographic locations have been added.

< p style='font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;'>
Warning: data being created. May contain anomalies.

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