33 datasets found
  1. O

    Bexar County COVID-19 Data by Zip Code

    • data.sanantonio.gov
    • cosacovid-cosagis.hub.arcgis.com
    Updated Nov 18, 2022
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    COVID-19 (2022). Bexar County COVID-19 Data by Zip Code [Dataset]. https://data.sanantonio.gov/dataset/bexar-county-covid-19-data-by-zip-code
    Explore at:
    gdb, xlsx, arcgis geoservices rest api, geojson, gpkg, zip, html, kml, txt, csvAvailable download formats
    Dataset updated
    Nov 18, 2022
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Area covered
    Bexar County
    Description

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

    This data set provides positive CoVID-19 cases by zip code, as they appear of the City of San Antonio CoVID-19 Surveillance Dashboard. The data is updated weekly on the City of San Antonio website. Features Bexar County Zip Code boundaries that have been clipped to Bexar County, and Geo-Enriched with Census and Esri Demographic Data.

    The purpose of this data set is to track Positive COVID-19 cases in Bexar County; authored by San Antonio Metro Health Department.

  2. O

    COVID-19 Vaccinations by ZipCode

    • data.sanantonio.gov
    • cosacovid-cosagis.hub.arcgis.com
    Updated Jul 22, 2022
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    COVID-19 (2022). COVID-19 Vaccinations by ZipCode [Dataset]. https://data.sanantonio.gov/dataset/covid-19-vaccinations-by-zipcode
    Explore at:
    txt, arcgis geoservices rest api, zip, csv, geojson, kml, html, gdb, gpkg, xlsxAvailable download formats
    Dataset updated
    Jul 22, 2022
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description
    This data set provides Bexar County CoVID-19 resident Vaccination information, as well as confirmed positive CoVID-19 cases by zip code, as they appear of the City of San Antonio CoVID-19 Vaccination Dashboard and CoVID-19 Surveillance Dashboard. The data is updated weekly. Features Bexar County Zip Code boundaries that have been clipped to Bexar County, and Geo-Enriched with Census and Esri Demographic Data.

    The purpose of this data set is to track COVID-19 vaccinations in Bexar County; authored by San Antonio Metro Health Department.

    Last Updated:
    **June 22nd, 2021
  3. O

    CoVID19 Deaths by Zip Code

    • data.sanantonio.gov
    Updated Nov 18, 2022
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    COVID-19 (2022). CoVID19 Deaths by Zip Code [Dataset]. https://data.sanantonio.gov/dataset/covid19-deaths-by-zip-code
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    gpkg, txt, zip, csv, geojson, kml, arcgis geoservices rest api, gdb, html, xlsxAvailable download formats
    Dataset updated
    Nov 18, 2022
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

    This data set provides categories of confirmed positive CoVID-19 cases by zip code, as they appear of the City of San Antonio CoVID-19 Surveillance Dashboard. The data is updated daily at 7PM on the City of San Antonio website. Features Bexar County Zip Code boundaries that have been clipped to Bexar County, and Geo-Enriched with Census and Esri Demographic Data.

    The purpose of this data set is to track Positive COVID-19 cases in Bexar County; authored by San Antonio Metro Health Department.

  4. 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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    arcgis geoservices rest api, kml, csv, geojson, zip, 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.

  5. 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
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    zip, xlsx, geojson, gdb, gpkg, txt, csv, html, kml, 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.
  6. O

    COVID-19 Weekly Data Public

    • data.sanantonio.gov
    • cosacovid-cosagis.hub.arcgis.com
    Updated Jan 17, 2023
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    COVID-19 (2022). COVID-19 Weekly Data Public [Dataset]. https://data.sanantonio.gov/dataset/covid-19-weekly-data-public
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    arcgis geoservices rest api, html, txt, gpkg, zip, gdb, csv, xlsx, geojson, kmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    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, 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 Date
    • Current Testing Capacity
    • Estimated Active Cases
    • Estimated Recovered Cases
    • Average Daily Cases
    • Cases per 100,000 population (moving average)
    • Weekly change in cases per 100,000 population

    This 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.

  7. O

    COVID-19 Weekly Lab Testing Public

    • data.sanantonio.gov
    • cosacovid-cosagis.hub.arcgis.com
    Updated May 9, 2023
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    COVID-19 (2023). COVID-19 Weekly Lab Testing Public [Dataset]. https://data.sanantonio.gov/dataset/covid-19-weekly-lab-testing-public
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    zip, geojson, txt, csv, gdb, kml, arcgis geoservices rest api, xlsx, gpkg, htmlAvailable download formats
    Dataset updated
    May 9, 2023
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

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


    Weekly COVID-19 lab testing of San Antonio residents. Provided by San Antonio Metropolitan Health District.

    This data reflects information provided by the City of San Antonio Metro Health Department. Table is updated every Monday as of data closed out as of the previous Friday/Weekend. Tests are both molecular (PCR/NAAT) and antigen (FIA) tests, and represent tests on those in Bexar County only.

  8. O

    Age Groups Tracker

    • data.sanantonio.gov
    • cosacovid-cosagis.hub.arcgis.com
    Updated Sep 27, 2020
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    COVID-19 (2020). Age Groups Tracker [Dataset]. https://data.sanantonio.gov/dataset/age-groups-tracker
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    gdb, kml, gpkg, arcgis geoservices rest api, zip, txt, xlsx, html, csv, geojsonAvailable download formats
    Dataset updated
    Sep 27, 2020
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

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


    CoVID-19 Cases and Deaths reported weekly grouped by Age. This data is contains the data reported on Monday going back to March 23rd, the first date available for the data. The Attribute fields are in groups of 10 years with the exception of the first grouping; 0-19. The counts in each record are cumulative up to the date of the record.

    This data is a product of CoVID-19+ case management, maintained by the San Antonio Metropolitan Health District.

  9. O

    CoVID-19 Surveillance Data

    • data.sanantonio.gov
    html
    Updated Jan 26, 2023
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    COVID-19 (2023). CoVID-19 Surveillance Data [Dataset]. https://data.sanantonio.gov/dataset/covid-19-surveillance-data
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 26, 2023
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

    The City of San Antonio's Open Data page for CoVID-19 surveillance data.

  10. O

    COVID-19 Indicators

    • data.sanantonio.gov
    html
    Updated Apr 18, 2020
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    COVID-19 (2020). COVID-19 Indicators [Dataset]. https://data.sanantonio.gov/dataset/covid-19-indicators
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 18, 2020
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

    {{description}}

  11. n

    Covid-19 and Cancer Consortium (CCC19) breast cancer and racial disparities...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Feb 20, 2023
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    Gayathri Nagaraj; Ali Khaki; Dimpy Shah (2023). Covid-19 and Cancer Consortium (CCC19) breast cancer and racial disparities outcomes study [Dataset]. http://doi.org/10.5061/dryad.1g1jwsv10
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 20, 2023
    Dataset provided by
    The University of Texas Health Science Center at San Antonio
    Loma Linda University
    Stanford University
    Authors
    Gayathri Nagaraj; Ali Khaki; Dimpy Shah
    License

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

    Description

    Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1,383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32–1.67]); Black patients (aOR 1.74; 95 CI 1.24–2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70–6.79) and Other (aOR 2.97; 95 CI 1.71–5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83–12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63–3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20–2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66–3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89–22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort were 9% and 37%, respectively; however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient- and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to Non-Hispanic White patients.

  12. Baseline demographic characteristics among adults with COVID-19 infection.

    • plos.figshare.com
    xls
    Updated Dec 8, 2023
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    Byeong Yeob Choi; Abigail R. Grace; Jack Tsai (2023). Baseline demographic characteristics among adults with COVID-19 infection. [Dataset]. http://doi.org/10.1371/journal.pone.0295418.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Byeong Yeob Choi; Abigail R. Grace; Jack Tsai
    License

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

    Description

    Baseline demographic characteristics among adults with COVID-19 infection.

  13. O

    CoVID19 Deaths byZipCode LessThan5

    • data.sanantonio.gov
    Updated Nov 18, 2022
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    COVID-19 (2022). CoVID19 Deaths byZipCode LessThan5 [Dataset]. https://data.sanantonio.gov/dataset/covid19-deaths-byzipcode-lessthan5
    Explore at:
    xlsx, html, arcgis geoservices rest api, zip, kml, txt, gdb, gpkg, geojson, csvAvailable download formats
    Dataset updated
    Nov 18, 2022
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

    {{description}}

  14. U

    United States AQI: Texas: San Antonio-New Braunfels: NO2

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States AQI: Texas: San Antonio-New Braunfels: NO2 [Dataset]. https://www.ceicdata.com/en/united-states/air-quality-index-and-air-pollutants/aqi-texas-san-antonionew-braunfels-no2
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Nov 19, 2024 - Nov 30, 2024
    Area covered
    United States
    Description

    United States AQI: Texas: San Antonio-New Braunfels: NO2 data was reported at 40.000 Index in 31 Jan 2025. This records a decrease from the previous number of 41.000 Index for 30 Jan 2025. United States AQI: Texas: San Antonio-New Braunfels: NO2 data is updated daily, averaging 16.000 Index from Jan 1980 (Median) to 31 Jan 2025, with 11998 observations. The data reached an all-time high of 54.000 Index in 01 Dec 2017 and a record low of 1.000 Index in 28 Jun 2020. United States AQI: Texas: San Antonio-New Braunfels: NO2 data remains active status in CEIC and is reported by United States Environmental Protection Agency. The data is categorized under Global Database’s United States – Table US.ESG.E001: Air Quality Index and Air Pollutants. [COVID-19-IMPACT]

  15. O

    CoVID-19 Vaccination Data

    • data.sanantonio.gov
    html
    Updated Jan 26, 2023
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    COVID-19 (2023). CoVID-19 Vaccination Data [Dataset]. https://data.sanantonio.gov/dataset/covid-19-vaccination-data
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 26, 2023
    Dataset provided by
    City of San Antonio
    Authors
    COVID-19
    Description

    The City of San Antonio's Open Data page for CoVID-19 vaccination data.

  16. c

    Emerging Cancer Vaccines market Will Grow at a CAGR of 12.50% from 2024 to...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, Emerging Cancer Vaccines market Will Grow at a CAGR of 12.50% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/emerging-cancer-vaccines-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Emerging Cancer Vaccines market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 12.50% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.7% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD XX million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.5% from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.9% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.2% from 2024 to 2031.
    The Genetic vaccines held the highest Emerging Cancer Vaccines market revenue share in 2024
    

    Market Dynamics of Emerging Cancer Vaccines Market

    Key Drivers for Emerging Cancer Vaccines Market

    Increasing Prevalence of Cancer to Propel the Market Revenue Growth

    One of the major factor that propel the emerging cancer market is rising prevalence of cancer across the globe as the traditional therapy such as chemotherapy and radiation therapy often have a significant side-effets. This side effects turn medical personnel for the R&D of cancer vaccines, which anticipated to drive the penetration of market revenue growth. For instance, according to the estimates by American Cancer Society, around 20 million cancer cases were newly diagnosed and 9.7 million people died from the cancer globally in 2022. This number of cancer cases is projected to grow 35 million by 2050. Thus, the aforementioned stats support the market growth.

    Rising Clinical Trials to Boost Market Growth

    The growing clinical trials are expected to propel the market growth during the forecast period. For instance, in December 2023, nixa Biosciences, Inc., a biotechnology business that specializes in cancer therapy and prevention, recently released updated and fresh positive data from their breast cancer vaccine's Phase 1 clinical study. The trial is being carried out with financial support from a grant from the U.S. Department of Defense in association with Cleveland Clinic.G. Thomas Budd, M.D., a staff physician at Cleveland Clinic Cancer Institute and the study's principal investigator, presented the data at the 2023 San Antonio Breast Cancer Symposium in a poster titled "Phase I Trial of alpha-lactalbumin vaccine in high-risk operable triple negative breast cancer (TNBC) and patients at high genetic risk for TNBC.

    Source: https://www.prnewswire.com/news-releases/anixa-biosciences-and-cleveland-clinic-present-positive-new-data-from-phase-1-study-of-breast-cancer-vaccine-302007568.html.

    Restraint Factor for the Emerging Cancer Vaccines Market

    Complexity of Cancer Immunology to Limit the Market Growth

    The complexity of cancer immunology is expected to hamper the market growth during the forecast period. As cancer disease is complex and heterogeneous in nature, and immune systems response to these disease is also very complex in nature. The R&D of the effective cancer vaccines demanding a good knowledge of tumor biology, immune evasion mechanisms, and the interplay between cancer cells and the immune system. The complex nature cancer immunology is the major challenge in identifying suitable vaccine targets and optimizing vaccine design, which may impede the development of theraupeutic treatment of cancer such as vaccines.

    Impact of Covid-19 on the Emerging Cancer Vaccines Market

    The COVID-19 pandemic had a mix impact on the emerging cancer vaccines market. The mRNA based vaccines manufactured by the global company such as Pfizer-BioNTech and Moderna, has brought attention to the potential of mRNA technology in the production of vaccines. As the same technology is used to modified target cancer-specific antigens, which has increased demand and funding for mRNA-based cancer vaccines. Furthermore, the COVID-19 has raised awareness of the significance of immunotherapy and vaccinations in fight aginst various disease including cancer, in...

  17. U

    Exercise of sexual reproductive rights of Venezuelan immigrant women during...

    • dataverse.unisimon.edu.co
    • unisimon.digitalcommonsdata.com
    Updated Aug 22, 2025
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    Neida Albornoz Arias; Rina Mazuera Arias; Carolina Ramirez Martinez; Myriam Teresa Carreño Paredes; Miguel Ángel Morffe Peraza; Neida Albornoz Arias; Rina Mazuera Arias; Carolina Ramirez Martinez; Myriam Teresa Carreño Paredes; Miguel Ángel Morffe Peraza (2025). Exercise of sexual reproductive rights of Venezuelan immigrant women during the COVID-19 pandemic. [Dataset]. http://doi.org/10.17632/9RXX5P97GH.3
    Explore at:
    Dataset updated
    Aug 22, 2025
    Dataset provided by
    UNISIMON
    Authors
    Neida Albornoz Arias; Rina Mazuera Arias; Carolina Ramirez Martinez; Myriam Teresa Carreño Paredes; Miguel Ángel Morffe Peraza; Neida Albornoz Arias; Rina Mazuera Arias; Carolina Ramirez Martinez; Myriam Teresa Carreño Paredes; Miguel Ángel Morffe Peraza
    License

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

    Area covered
    Venezuela
    Description

    They are women who migrated after 2018, considered by UNHCR as Venezuelans displaced abroad, people who are likely to be in need of international protection, requiring protection against forced returns and access to basic services, regardless of age, educational level and migration status. The population is a database of migrant population of which 2,495 are women of legal age who migrated from Venezuela between April and May 2019, through the migratory corridor between Ureña/San Antonio and Villa del Rosario Cúcuta, digesting to different destinations in South America including Colombia. It is a population that has continued to be linked to the High Border Studies Group (ALEF) of the Simon Bolivar University, because it has been consulted for various studies to study the living conditions in the host countries. And in this study we want to make visible the need to understand the conditions of female migration in terms of access to and exercise of SRR. The sampling frame design was non-probabilistic. An online survey was applied to 2495 women during April 1 to June 3, 2021, obtaining the response of 86 women (sample for this study). 3.5%

  18. Demographics, clinical features and underlined health conditions of the...

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Uxío Meis-Pinheiro; Francesc Lopez-Segui; Sandra Walsh; Anton Ussi; Sebastia Santaeugenia; Jose Augusto Garcia-Navarro; Antonio San-Jose; Antoni L. Andreu; Magda Campins; Benito Almirante (2023). Demographics, clinical features and underlined health conditions of the cohort. [Dataset]. http://doi.org/10.1371/journal.pone.0255141.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Uxío Meis-Pinheiro; Francesc Lopez-Segui; Sandra Walsh; Anton Ussi; Sebastia Santaeugenia; Jose Augusto Garcia-Navarro; Antonio San-Jose; Antoni L. Andreu; Magda Campins; Benito Almirante
    License

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

    Description

    Demographics, clinical features and underlined health conditions of the cohort.

  19. U

    United States AQI: Texas: San Antonio-New Braunfels: Ozone

    • ceicdata.com
    Updated Nov 7, 2022
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    CEICdata.com (2022). United States AQI: Texas: San Antonio-New Braunfels: Ozone [Dataset]. https://www.ceicdata.com/en/united-states/air-quality-index-and-air-pollutants/aqi-texas-san-antonionew-braunfels-ozone
    Explore at:
    Dataset updated
    Nov 7, 2022
    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
    Mar 12, 2025 - Mar 23, 2025
    Area covered
    United States
    Description

    United States AQI: Texas: San Antonio-New Braunfels: Ozone data was reported at 49.000 Index in 16 May 2025. This records a decrease from the previous number of 101.000 Index for 15 May 2025. United States AQI: Texas: San Antonio-New Braunfels: Ozone data is updated daily, averaging 38.000 Index from Jan 1980 (Median) to 16 May 2025, with 16492 observations. The data reached an all-time high of 159.000 Index in 08 Jun 2017 and a record low of 5.000 Index in 22 Mar 2020. United States AQI: Texas: San Antonio-New Braunfels: Ozone data remains active status in CEIC and is reported by United States Environmental Protection Agency. The data is categorized under Global Database’s United States – Table US.ESG.E: Air Quality Index and Air Pollutants. [COVID-19-IMPACT]

  20. U

    United States AQI: Texas: San Antonio-New Braunfels: SO2

    • ceicdata.com
    Updated Nov 12, 2022
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    CEICdata.com (2022). United States AQI: Texas: San Antonio-New Braunfels: SO2 [Dataset]. https://www.ceicdata.com/en/united-states/air-quality-index-and-air-pollutants/aqi-texas-san-antonionew-braunfels-so2
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    Dataset updated
    Nov 12, 2022
    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
    Jun 19, 2023 - Jun 30, 2023
    Area covered
    United States
    Description

    United States AQI: Texas: San Antonio-New Braunfels: SO2 data was reported at 0.000 Index in 30 Jun 2023. This stayed constant from the previous number of 0.000 Index for 29 Jun 2023. United States AQI: Texas: San Antonio-New Braunfels: SO2 data is updated daily, averaging 0.000 Index from Jan 1980 (Median) to 30 Jun 2023, with 7484 observations. The data reached an all-time high of 70.000 Index in 04 Aug 2017 and a record low of 0.000 Index in 30 Jun 2023. United States AQI: Texas: San Antonio-New Braunfels: SO2 data remains active status in CEIC and is reported by United States Environmental Protection Agency. The data is categorized under Global Database’s United States – Table US.ESG.E001: Air Quality Index and Air Pollutants. [COVID-19-IMPACT]

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COVID-19 (2022). Bexar County COVID-19 Data by Zip Code [Dataset]. https://data.sanantonio.gov/dataset/bexar-county-covid-19-data-by-zip-code

Bexar County COVID-19 Data by Zip Code

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gdb, xlsx, arcgis geoservices rest api, geojson, gpkg, zip, html, kml, txt, csvAvailable download formats
Dataset updated
Nov 18, 2022
Dataset provided by
City of San Antonio
Authors
COVID-19
Area covered
Bexar County
Description

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

This data set provides positive CoVID-19 cases by zip code, as they appear of the City of San Antonio CoVID-19 Surveillance Dashboard. The data is updated weekly on the City of San Antonio website. Features Bexar County Zip Code boundaries that have been clipped to Bexar County, and Geo-Enriched with Census and Esri Demographic Data.

The purpose of this data set is to track Positive COVID-19 cases in Bexar County; authored by San Antonio Metro Health Department.

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