4 datasets found
  1. O

    COVID-19 Weekly Surveillance Data Public

    • data.sanantonio.gov
    Updated Mar 5, 2024
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    COVID-19 (2024). COVID-19 Weekly Surveillance Data Public [Dataset]. https://data.sanantonio.gov/dataset/covid-19-weekly-surveillance-data-public
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    csv, arcgis geoservices rest api, zip, kml, geojson, htmlAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

    TO DOWNLOAD THE DATASET, CLICK ON THE "Download" BUTTON


    This is the weekly information that is used in the public CoVID-19 Surveillance and Progress and Warnings Dashboards. Each field is updated weekly since the first date the data was tracked. The Surveillance Dashboard is live and available here.

    This data reflects information provided by the City of San Antonio Metro Health Department, and is released weekly on Tuesday evenings; on the City of San Antonio CoVID-19 website.

    Updates:
    • 6/13/2022 - Six new variables were added to the table to be used as the CoVID Community Level Metrics. New CoVID cases per 100,000 population, Change in New CoVID cases per 100,000 population, New CoVID Admissions per 100,000 population, Change in New CoVID Admissions per 100,000 population, Percent of Staffed Inpatient Beds in Use by Patients with Confirmed COVID-19, and Change in Percent of Staffed Inpatient Beds in Use by Patients with Confirmed COVID-19. This data is tracked weekly starting on 5/2/2022.

  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:
    gdb, zip, xlsx, csv, arcgis geoservices rest api, txt, gpkg, kml, geojson, htmlAvailable 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. a

    COVID-19 Weekly Data Public

    • cosacovid-cosagis.hub.arcgis.com
    • data.sanantonio.gov
    Updated May 2, 2020
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    City of San Antonio (2020). COVID-19 Weekly Data Public [Dataset]. https://cosacovid-cosagis.hub.arcgis.com/datasets/CoSAGIS::covid-19-weekly-data-public
    Explore at:
    Dataset updated
    May 2, 2020
    Dataset authored and provided by
    City of San Antonio
    Area covered
    Earth
    Description

    TO DOWNLOAD THE DATASET, CLICK ON THE "Download" BUTTONThis is the weekly information that is used in the public CoVID-19 Surveillance, Trends, and Progress and Warnings Dashboards. Each field is updated weekly since the first date the data was tracked. The Surveillance Dashboard is live and available here.Currently the following fields are being reported weekly:Reported DateCurrent Testing CapacityEstimated Active CasesEstimated Recovered CasesAverage Daily CasesCases per 100,000 population (moving average)Weekly change in cases per 100,000 populationThis data reflects information provided by the City of San Antonio Metro Health Department, and is released weekly by 7 pm on Monday evenings; on the City of San Antonio CoVID-19 website.

  4. n

    Data from: Use of medicinal plants for COVID-19 prevention and respiratory...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Sep 20, 2021
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    Magaly Villena-Tejada; Ingrid Vera-Ferchau; Anahi Cardona-Rivero; Rina Zamalloa-Cornejo; Maritza Quispe-Florez; Zany Frisancho-Triveño; Rosario Abarca-Meléndez; Susan Alvarez-Sucari; Christian Mejia; Jaime Yáñez (2021). Use of medicinal plants for COVID-19 prevention and respiratory symptom treatment during the pandemic in Cusco, Peru: A cross-sectional survey [Dataset]. http://doi.org/10.5061/dryad.ghx3ffbpg
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 20, 2021
    Dataset provided by
    Universidad Norbert Wiener
    Universidad Continental
    National University of Saint Anthony the Abbot in Cuzco
    Authors
    Magaly Villena-Tejada; Ingrid Vera-Ferchau; Anahi Cardona-Rivero; Rina Zamalloa-Cornejo; Maritza Quispe-Florez; Zany Frisancho-Triveño; Rosario Abarca-Meléndez; Susan Alvarez-Sucari; Christian Mejia; Jaime Yáñez
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Peru, Cusco
    Description

    Background: The burden of the COVID-19 pandemic in Peru has led to people seeking alternative treatments as preventives and treatment options such as medicinal plants. This study aimed to assess factors associated with the use of medicinal plants as preventive or treatment of respiratory symptom related to COVID-19 during the pandemic in Cusco, Peru.

    Method: A web-based cross-sectional study was conducted on general public (20- to 70-year-old) from August 31 to September 20, 2020. Data were collected using a structured questionnaire via Google Forms, it consisted of an 11-item questionnaire that was developed and validated by expert judgment using Aiken's V (Aiken's V > 0.9). Both descriptive statistics and bivariate followed by multivariable logistic regression analyses were conducted to assess factors associated with the use of medicinal plants for COVID-19 prevention and respiratory symptom treatment during the pandemic. Prevalence ratios (PR) with 95% Confidence Interval (CI), and a P-value of 0.05 was used to determine statistical significance.

    Results: A total of 1,747 respondents participated in the study, 80.2% reported that they used medicinal plants as preventives, while 71% reported that they used them to treat respiratory symptoms. At least, 24% of respondents used medicinal plants when presenting with two or more respiratory symptoms, while at least 11% used plants for malaise. For treatment or prevention, the multivariate analysis showed that most respondents used eucalyptus (p ​​< 0.001 for both), ginger (p​​ < 0.022 for both), spiked pepper (p < 0.003 for both), garlic (p = 0.023 for prevention), and chamomile (p = 0.011 for treatment). The respondents with COVID-19 (p < 0.001), at older ages (p = 0.046), and with a family member or friend who had COVID-19 (p < 0.001) used more plants for prevention. However, the respondents with technical or higher education used less plants for treatment (p < 0.001).

    Conclusion: There was a significant use of medicinal plants for both prevention and treatment, which was associated with several population characteristics and whether respondents had COVID-19.

    Methods We conducted an online cross-sectional multicenter survey, which was initially evaluated by 10 expert judges using Aiken's V (40). After including the experts’ observations, a pilot study was performed (from August 16 to 4) with 336 respondents in in five districts of Cusco, Peru. The pilot data was used to calculate the minimal sample size necessary for the actual study. It was determined that a minimum sample size of 1,530 was necessary to achieve a minimum percentage difference of 2.5% (49.0% versus 51.5%), a statistical power of 80%, and a confidence level of 95%. The sample size was calculated using power analysis.

    The actual survey consisted of an online questionnaire that was sent via WhatsApp, Messenger, and Facebook. The shared questionnaire was made anonymous ensuring data confidentiality and reliability. The survey was performed from August 31 to September 20, 2020 after approximately 9 months of lockdown and social distancing measures in Peru due to the COVID-19 outbreak. At the beginning of the survey (August 31) the number of COVID-19 confirmed cases was 652,037 and 28,944 deaths, while at the end of the survey (September 20) the confirmed cases increased to 772,896 and the deaths increased to 31,474. We surveyed general public who were adults of both genders aged 20 to 70 years in five districts of Cusco, Peru with high-risk COVID-19 transmission according to the Epidemiological Alert AE-017-2020. The five districts were Cusco, San Jerónimo, San Sebastián, Santiago, and Wanchaq. Participants were recruited by the research team of the Universidad Nacional de San Antonio Abad del Cusco.

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Click to copy link
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COVID-19 (2024). COVID-19 Weekly Surveillance Data Public [Dataset]. https://data.sanantonio.gov/dataset/covid-19-weekly-surveillance-data-public

COVID-19 Weekly Surveillance Data Public

Explore at:
csv, arcgis geoservices rest api, zip, kml, geojson, htmlAvailable download formats
Dataset updated
Mar 5, 2024
Dataset provided by
City of San Antonio
Authors
COVID-19
Description

TO DOWNLOAD THE DATASET, CLICK ON THE "Download" BUTTON


This is the weekly information that is used in the public CoVID-19 Surveillance and Progress and Warnings Dashboards. Each field is updated weekly since the first date the data was tracked. The Surveillance Dashboard is live and available here.

This data reflects information provided by the City of San Antonio Metro Health Department, and is released weekly on Tuesday evenings; on the City of San Antonio CoVID-19 website.

Updates:
  • 6/13/2022 - Six new variables were added to the table to be used as the CoVID Community Level Metrics. New CoVID cases per 100,000 population, Change in New CoVID cases per 100,000 population, New CoVID Admissions per 100,000 population, Change in New CoVID Admissions per 100,000 population, Percent of Staffed Inpatient Beds in Use by Patients with Confirmed COVID-19, and Change in Percent of Staffed Inpatient Beds in Use by Patients with Confirmed COVID-19. This data is tracked weekly starting on 5/2/2022.

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