34 datasets found
  1. d

    Seattle Coronavirus Assessment Network (SCAN) Dashboard

    • catalog.data.gov
    • data.kingcounty.gov
    Updated Feb 2, 2024
    + more versions
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    data.kingcounty.gov (2024). Seattle Coronavirus Assessment Network (SCAN) Dashboard [Dataset]. https://catalog.data.gov/dataset/seattle-coronavirus-assessment-network-scan-dashboard
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    data.kingcounty.gov
    Area covered
    Seattle
    Description

    The greater Seattle Coronavirus Assessment Network (SCAN) study is a response to the novel coronavirus outbreak (COVID-19). Since March 23rd, 2020, SCAN has worked in collaboration with Public Health Seattle & King County to deliver and collect at-home COVID-19 tests. The SCAN study is focused on testing people who are experiencing symptoms of COVID-19, and is working to increase testing in underrepresented communities and populations. The SCAN dashboard provides geographic and demographic information from King County about who is ordering a test kit (individuals, contacts and groups) and may differ from the testing data which includes all final results (positive, negative and inconclusive). Reported positives and positivity rate are a combination of general SCAN enrollment and contact testing results, and are not representative of overall population frequency. There was a pause in testing from May 13th through June 9th, during which time SCAN worked with the FDA to update procedures and certifications. Data is updated daily, subject to change and may vary across other technical reports due to the specific analyses being performed.

  2. c

    RT-PCR Measurements of Seattle COVID-19 Patients

    • data.cvisb.org
    Updated Oct 19, 2020
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    Galit Alter laboratory (2020). RT-PCR Measurements of Seattle COVID-19 Patients [Dataset]. https://data.cvisb.org/dataset/rtpcr-32783920
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    Dataset updated
    Oct 19, 2020
    Dataset provided by
    Center for Viral Systems Biology
    Authors
    Galit Alter laboratory
    License

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

    Area covered
    United States, Seattle
    Variables measured
    virus level
    Measurement technique
    Reverse Transcriptase-Polymerase Chain Reaction
    Description

    RT-PCR measurements of SARS-CoV-2 levels for COVID-19 patients in Seattle, Washington. Complimentary dataset to Systems Serology measurments of the same patient cohort.

  3. d

    Social and Economic Inequities and COVID-19 Outcomes

    • catalog.data.gov
    • data.kingcounty.gov
    Updated Feb 2, 2024
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    data.kingcounty.gov (2024). Social and Economic Inequities and COVID-19 Outcomes [Dataset]. https://catalog.data.gov/dataset/social-and-economic-inequities-and-covid-19-outcomes
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    data.kingcounty.gov
    Description

    Locally and across the United States, social and economic inequities have placed certain communities at higher risk of COVID-19. Public Health - Seattle & King County developed a social and economic risk index (SERI) to examine social and economic disparities in COVID-19 outcomes. This dashboard shows the index at census tract-level for King County. Higher scores on SERI indicate communities with higher levels of social and economic risk, and lower scores indicate lower levels of risk.

  4. Seattle Focuses on Economic Recovery, Starting Locally

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Apr 14, 2020
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    Esri’s Disaster Response Program (2020). Seattle Focuses on Economic Recovery, Starting Locally [Dataset]. https://coronavirus-resources.esri.com/documents/9a6943fc2d454af89390085ad5175095
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    Dataset updated
    Apr 14, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Area covered
    Seattle
    Description

    Seattle Focuses on Economic Recovery, Starting LocallyAmid what is foremost a public health and safety crisis, many government leaders are looking for ways to support economic resilience and avoid longer-term impacts of the coronavirus disease 2019 (COVID-19) pandemic.In Seattle, Washington, city officials took early steps to provide for their local economy by launching the #SupportSeattleSmallBiz campaign. The goal of this campaign is to keep businesses open and keep the workforce supporting them employed. Helping Seattle businesses survive the pandemic required a location-based solution—connecting citizens with local businesses that are open. _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...

  5. K

    King County jail COVID-19 statistics

    • data.kingcounty.gov
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Mar 22, 2023
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    King County Department of Adult and Juvenile Detention (2023). King County jail COVID-19 statistics [Dataset]. https://data.kingcounty.gov/Law-Enforcement-Safety/King-County-jail-COVID-19-statistics/qdny-y8ei
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    tsv, csv, application/rssxml, xml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Mar 22, 2023
    Dataset authored and provided by
    King County Department of Adult and Juvenile Detention
    Area covered
    King County
    Description

    The Department of Adult and Juvenile Detention is taking emergency actions to ensure the safety of everyone at King County correctional facilities, based on recommendations from the Centers for Disease Control and Prevention as well as Public Health – Seattle & King County. https://kingcounty.gov/depts/jails/covid-updates.aspx

  6. g

    Social and Economic Inequities and COVID-19 Outcomes | gimi9.com

    • gimi9.com
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    Social and Economic Inequities and COVID-19 Outcomes | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_social-and-economic-inequities-and-covid-19-outcomes
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    Description

    Locally and across the United States, social and economic inequities have placed certain communities at higher risk of COVID-19. Public Health - Seattle & King County developed a social and economic risk index (SERI) to examine social and economic disparities in COVID-19 outcomes. This dashboard shows the index at census tract-level for King County. Higher scores on SERI indicate communities with higher levels of social and economic risk, and lower scores indicate lower levels of risk.

  7. c

    The COVID Tracking Project

    • covidtracking.com
    google sheets
    + more versions
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    The COVID Tracking Project [Dataset]. https://covidtracking.com/
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    google sheetsAvailable download formats
    Description

    The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We attempt to include positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.

    Testing is a crucial part of any public health response, and sharing test data is essential to understanding this outbreak. The CDC is currently not publishing complete testing data, so we’re doing our best to collect it from each state and provide it to the public. The information is patchy and inconsistent, so we’re being transparent about what we find and how we handle it—the spreadsheet includes our live comments about changing data and how we’re working with incomplete information.

    From here, you can also learn about our methodology, see who makes this, and find out what information states provide and how we handle it.

  8. Average number of COVID-19 deaths in last 7 days in select countries, Mar....

    • statista.com
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    Statista, Average number of COVID-19 deaths in last 7 days in select countries, Mar. 1-Oct. 27 [Dataset]. https://www.statista.com/statistics/1111867/trailing-seven-day-average-number-of-covid-19-deaths-select-countries-worldwide/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Oct 27, 2020
    Area covered
    Worldwide
    Description

    The seven-day average number of COVID-19 deaths in the U.S. decreased significantly from April to July 2020, but it remained higher than in other countries. Seven-day rolling averages are used to adjust for administrative delays in the reporting of deaths by authorities, commonly over weekends.

    The challenges of tracking and reporting the disease The U.S. confirmed its first coronavirus case in mid-January 2020 – the virus was detected in a passenger who arrived in Seattle from China. Since that first case, around 945 people have died every day from COVID-19 in the United States as of August 23, 2020. In total, the U.S. has recorded more coronavirus deaths than any other country worldwide. Accurately tracking the number of COVID-19 deaths has proved complicated, with countries having different rules for what deaths to include in their official figures. Some nations have even changed which deaths they can attribute to the disease during the pandemic.

    Young people urged to act responsibly Between January and May 2020, case fatality rates among COVID-19 patients in the United States increased with age, highlighting the particular risks faced by the elderly. However, COVID-19 is not only a disease that affects older adults. Surges in the number of new cases throughout July 2020 were blamed on young people. The World Health Organization has urged young people not to become complacent, reminding them to maintain social distancing guidelines and take precautions to protect themselves and others.

  9. d

    COVID-19 Key Economic, Social, and Overall Health Impacts in King County

    • datasets.ai
    • data.kingcounty.gov
    • +1more
    21
    Updated Aug 12, 2024
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    King County, Washington (2024). COVID-19 Key Economic, Social, and Overall Health Impacts in King County [Dataset]. https://datasets.ai/datasets/covid-19-key-economic-social-and-overall-health-impacts-in-king-county
    Explore at:
    21Available download formats
    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    King County, Washington
    Area covered
    King County
    Description

    Updated weekly Public Health — Seattle & King County is monitoring changes in key economic, social, and other health indicators resulting from strategies to slow the spread of COVID-19. The metrics below were selected based on studies from previous outbreaks, which have linked strategies such as social distancing, school closures, and business closures to specific outcomes. Individual indicators in the grid below are updated daily, weekly, or monthly, depending on the source of data. Additional data will be added over time.

  10. A

    ‘King County jail COVID-19 statistics’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘King County jail COVID-19 statistics’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-king-county-jail-covid-19-statistics-0997/d424bf30/?iid=003-914&v=presentation
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    King County
    Description

    Analysis of ‘King County jail COVID-19 statistics’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3d1e4928-49bd-4290-ad68-2ea115633c08 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Department of Adult and Juvenile Detention is taking emergency actions to ensure the safety of everyone at King County correctional facilities, based on recommendations from the Centers for Disease Control and Prevention as well as Public Health – Seattle & King County. https://kingcounty.gov/depts/jails/covid-updates.aspx

    --- Original source retains full ownership of the source dataset ---

  11. d

    Data from: Interplay of demographics, geography and COVID-19 pandemic...

    • dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Nov 29, 2023
    + more versions
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    James Bristow; Jamie Hamilton; Vashon Medical Reserve Corps COVID-19 Steering Committee; John Weinshel; Robert Rovig; Rick Wallace; Clayton Olney; Karla Lindquist (2023). Interplay of demographics, geography and COVID-19 pandemic responses in the Puget Sound region: The Vashon, Washington Medical Reserve Corps experience [Dataset]. http://doi.org/10.7272/Q6BK19M6
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    Dataset updated
    Nov 29, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    James Bristow; Jamie Hamilton; Vashon Medical Reserve Corps COVID-19 Steering Committee; John Weinshel; Robert Rovig; Rick Wallace; Clayton Olney; Karla Lindquist
    Time period covered
    Jan 1, 2022
    Description

    Background Rural U.S. communities are at risk from COVID-19 due to advanced age and limited access to acute care. Recognizing this, the Vashon Medical Reserve Corps (VMRC) in King County, Washington, implemented an all-volunteer, community-based COVID-19 response program.  This program integrated public engagement, SARS-CoV-2 testing, contact tracing, vaccination, and material community support, and was associated with the lowest cumulative COVID-19 case rate in King County. This study aimed to investigate the contributions of demographics, geography and public health interventions to Vashon’s low COVID-19 rates. Methods This observational cross-sectional study compares cumulative COVID-19 rates and success of public health interventions from February 2020 through November 2021 for Vashon Island with King County (including metropolitan Seattle) and Whidbey Island, located ~50 km north of Vashon. To evaluate the role of demography, we developed multiple linear regression models of COVID-...

  12. k

    Homelessness and COVID-19

    • data.kingcounty.gov
    csv, json, tsv
    Updated Jan 7, 2021
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    (2021). Homelessness and COVID-19 [Dataset]. https://data.kingcounty.gov/w/nqri-czhj/shwn-npxw?cur=TueQlCWIe5r&from=Y00FktPYL98
    Explore at:
    tsv, json, csvAvailable download formats
    Dataset updated
    Jan 7, 2021
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Updated every Thursday People experiencing homelessness are at risk for infection through community spread of COVID-19. The data below describes impacts of COVID-19 on individuals who are experiencing homelessness, whether they are able to access a congregate shelter or unsheltered (sleeping outside or in places not meant for human habitation).

    For COVID-19 investigation purposes, people experiencing homelessness are defined as those who have lived on the streets or stayed in a shelter, vehicle, abandoned building, encampment, tiny house village/tent city, or supportive housing program (transitional or permanent supportive) at any time during the 12 months prior to COVID-19 testing, without evidence that they were otherwise permanently housed. Public Health, the Department of Community and Human Services, homeless service providers, healthcare providers, and the City of Seattle have partnered for increased testing in this community.

  13. Seattle Rescue Plan

    • data.seattle.gov
    • cos-data.seattle.gov
    application/rdfxml +5
    Updated Mar 1, 2024
    + more versions
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    CBO (2024). Seattle Rescue Plan [Dataset]. https://data.seattle.gov/w/uxxb-mmuq/2myu-6xk5?cur=xOb8prraqu6
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    csv, application/rssxml, tsv, xml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    Congressional Budget Officehttp://www.cbo.gov/
    Authors
    CBO
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Seattle
    Description

    This dataset contains information on all Seattle Rescue Plan programs, their objectives, and budgeted and spending amounts. The Seattle Rescue Plan encompasses nearly $300 million of federal relief the City of Seattle received to help our community respond to and recover from the COVID-19 pandemic’s health and economic impacts. This data will be updated on a quarterly basis to reflect changes in expenditures.

  14. T

    Emergency Food and Meals Seattle and King County

    • cos-data.seattle.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Nov 4, 2024
    + more versions
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    Human Services Department (2024). Emergency Food and Meals Seattle and King County [Dataset]. https://cos-data.seattle.gov/w/kkzf-ntnu/default?cur=9LlXOKs93Nc&from=rnXXZa8AYhg
    Explore at:
    csv, xml, tsv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Nov 4, 2024
    Dataset authored and provided by
    Human Services Department
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    King County, Seattle
    Description

    A list of emergency food (meals, food banks, etc.) available in Seattle and King County.

  15. n

    Temporal variability of microparticles under the Seattle Aquarium, WA:...

    • data.niaid.nih.gov
    • datadryad.org
    • +1more
    zip
    Updated Sep 6, 2021
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    Lyda S. T. Harris; Laura La Beur; Amy Y. Olsen; Angela Smith; Lindsey Eggers; Emily Pedersen; Jennifer Van Brocklin; Susanne M. Brander; Shawn Larson (2021). Temporal variability of microparticles under the Seattle Aquarium, WA: Documenting the global Covid‐19 pandemic [Dataset]. http://doi.org/10.5061/dryad.zpc866t90
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    zipAvailable download formats
    Dataset updated
    Sep 6, 2021
    Dataset provided by
    Oregon State University
    Seattle Aquarium
    Authors
    Lyda S. T. Harris; Laura La Beur; Amy Y. Olsen; Angela Smith; Lindsey Eggers; Emily Pedersen; Jennifer Van Brocklin; Susanne M. Brander; Shawn Larson
    License

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

    Area covered
    Seattle
    Description

    Anthropogenic debris including microparticles (MP; <5mm) are ubiquitous in marine environments. The Salish Sea experiences seasonal fluctuations in precipitation, river discharge, sewage overflow events, and tourism– all variables previously thought to have an impact on MP transport and concentrations. Our goals are two-fold: 1) Describe long-term MP contamination data including concentration, type, and size and 2) Determine if seasonal MP concentrations are dependent on environmental or tourism variables in Elliott Bay, Salish Sea. We sampled 100 L of seawater at depth (~9 m) at the Seattle Aquarium approximately every two weeks 2019 – 2020 and used an oil extraction protocol to separate MP. We found MP concentrations ranged from 0 – 0.64 particles L⁻¹ and fibers were the most common type observed. Microparticle concentration exhibited a breakpoint on April 10, 2020, where estimated slope and associated MP concentration significantly declined. Further, when considering both environmental as well as tourism variables, temporal MP concentration was best described by a mixed-effects model with tourism as the fixed effect and the person counting MP as the random effect. While monitoring efforts presented here set out to identify effects of seasonality and interannual differences in MP concentrations, it instead captured an effect of decreased tourism due to the global Covid-19 pandemic. Long-term monitoring is critical to establish temporal MP concentrations and to help researchers understand if there are certain events, both seasonal and sporadic (e.g. rain events, tourism, or global pandemics), when the marine environment is more at risk from anthropogenic pollution.

  16. a

    ‘Restaurants Operating during COVID19’ analyzed by Analyst-2

    • analyst-2.ai
    Updated May 7, 2020
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Restaurants Operating during COVID19’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-restaurants-operating-during-covid19-4b05/113e1555/?iid=004-443&v=presentation
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    Dataset updated
    May 7, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Restaurants Operating during COVID19’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a55884ed-35d6-4ea2-81d7-5dc9a4c54904 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    This data is for historical purposes - data collection began in April 2020 and is no longer being maintained as of 10-1-2021.

    This data includes restaurants, bars, cafes, and breweries in King, Pierce, and Snohomish counties. The data was compiled from publicly available sources and from self-reporting by business owners through a survey hosted by the City of Seattle. The data may not reflect current conditions.

    This was added to the original dataset that is part of the City’s #SupportSeattleSmallBiz campaign, for restaurants, bars, cafes, and breweries that are doing delivery, to-go, and drive-through.

    This information may only be used for the purposes intended. The City of Seattle shall assume no liability for inaccurate information or any harm that occurs as a result of the use of the information. Hosted by the City of Seattle in conjunction with regional partners to support Puget Sound restaurant, bar, and cafe owners during the COVID-19 stay-at-home order.

    | Timeframe: March 2020 to September 2021, Seattle Area,
    April 2020 to September 2021, additional jurisdictions(in King, Pierce and Snohomish Counties)

    --- Original source retains full ownership of the source dataset ---

  17. S2 Table -

    • plos.figshare.com
    xlsx
    Updated Jun 7, 2023
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    Emily A. Bruce; Meei-Li Huang; Garrett A. Perchetti; Scott Tighe; Pheobe Laaguiby; Jessica J. Hoffman; Diana L. Gerrard; Arun K. Nalla; Yulun Wei; Alexander L. Greninger; Sean A. Diehl; David J. Shirley; Debra G. B. Leonard; Christopher D. Huston; Beth D. Kirkpatrick; Julie A. Dragon; Jessica W. Crothers; Keith R. Jerome; Jason W. Botten (2023). S2 Table - [Dataset]. http://doi.org/10.1371/journal.pbio.3000896.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Emily A. Bruce; Meei-Li Huang; Garrett A. Perchetti; Scott Tighe; Pheobe Laaguiby; Jessica J. Hoffman; Diana L. Gerrard; Arun K. Nalla; Yulun Wei; Alexander L. Greninger; Sean A. Diehl; David J. Shirley; Debra G. B. Leonard; Christopher D. Huston; Beth D. Kirkpatrick; Julie A. Dragon; Jessica W. Crothers; Keith R. Jerome; Jason W. Botten
    License

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

    Description

    A) CT values from COVID-19 patient NP swabs or non-COVID-19 patient NP swabs following direct RT-qPCR versus standard RT-qPCR for SARS-CoV-2 RNA detection that included RNA extraction. A total of 90 NP swab samples representing low SARS-CoV-2 RNA loads (CT values of 27 to 36) or non-detected (i.e., negative) SARS-COV-2 RNA as determined by clinical RT-qPCR at UW in Seattle (labeled “original clinical RT-qPCR”) were analyzed by the indicated methods to establish the limit of detection and specificity of the direct RT-qPCR method. Direct RT-qPCR was performed on 3 µl of NP swab diluent after heating for 10 minutes at 95°C. In parallel, RNA was extracted from 200 µl of NP swab diluent (per the UW standard clinical protocol) that had been previously heated at 95°C, and RNA representing 20 µl of the original diluent was used in RT-qPCR. Samples below the limit of detection (CT of 40 or more) are designated “NEG.” These data are linked to Fig 3. B) CT values from COVID-19 patient NP swabs or non-COVID-19 patient NP swabs following direct RT-qPCR versus standard RT-qPCR for EXO RNA that was spiked into the swab diluent. A total of 90 NP swab samples representing low SARS-CoV-2 RNA loads (CT values of 27 to 36) or non-detected (i.e., negative) SARS-COV-2 RNA as determined by clinical RT-qPCR at UW in Seattle were analyzed by the indicated methods. For the donors indicated, an aliquot of swab diluent was spiked with 4 × 104 copies of EXO control RNA prior to RNA extraction or direct addition of sample to the RT-qPCR reaction for subsequent detection with an EXO primer/probe set. Direct RT-qPCR was performed on 3 µl of NP swab diluent after heating for 10 minutes at 95°C. In parallel, RNA was also extracted from 200 µl of NP swab diluent (per the UW standard clinical protocol) that had been previously heated at 95°C for 10 minutes, and RNA representing 20 µl of the original diluent was used in RT-qPCR. Samples below the limit of detection (CT of 40 or more) are designated “NEG.” EXO, EXO primer/probe set; N2, 2019-nCoV_N2 primer/probe set. (XLSX)

  18. Mobile Recreation Programming

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    Updated Oct 2, 2023
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    City of Seattle ArcGIS Online (2023). Mobile Recreation Programming [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/items/64a3c67f109645c4a5cfa854f4b660ee
    Explore at:
    Dataset updated
    Oct 2, 2023
    Dataset provided by
    Authors
    City of Seattle ArcGIS Online
    Area covered
    Description

    SPR Recreation Division programming locations including Rec'N the Streets Mobile Recreation, Park Ambassadors, Summer Lunch & Playground, and others. In response to the COVID-19 pandemic, Recreation Division programming continues to offer outdoor opportunities to recreate under existing safety precautions. The mission of Rec'N the Streets in particular is: everyone should have access to recreation in their communities; for those in areas with health disparities and no access to these activities, we bring the recreation to them.Refresh Cycle: DailyFeature Class: DPR.MobileRec_PT

  19. U.S. local newscasts: coronavirus viewership impact 2020

    • statista.com
    Updated Jun 18, 2020
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    Statista (2020). U.S. local newscasts: coronavirus viewership impact 2020 [Dataset]. https://www.statista.com/statistics/1105701/local-newscast-viewership-coronavirus-usa/
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    Dataset updated
    Jun 18, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 10, 2020 - Mar 9, 2020
    Area covered
    United States
    Description

    Between the weeks of February 10 and March 9, 2020, the top 25 DMAs (Designated Market Areas) in the United States saw an average increase of 11 percent in daily household viewership of local news. Several markets saw growth of more than 15 percent, though the highest was Seattle-Tacoma with 28 percent more households viewing local news on a daily basis in the week ending March 9 than in the corresponding week of February 2020.

  20. Leading tech companies' donations towards COVID-19 2021

    • statista.com
    Updated Jul 7, 2023
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    Statista (2023). Leading tech companies' donations towards COVID-19 2021 [Dataset]. https://www.statista.com/statistics/1106386/leading-tech-companies-donations-towards-covid-19/
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2021
    Area covered
    Worldwide
    Description

    The internet giant Google has made total donation of more than around 1.3 billion U.S. dollars to support businesses, organizations and healthcare workers to combat the novel coronavirus (COVID-19) - most of the donation will come in form of ad grants and ad credits. The COVID-19 pandemic has had a global impact on many different industries. Over the past weeks, many of the leading technology companies have announced financial contributions in support of resolving the COVID-19 worldwide crisis. Cisco The networking equipment giant Cisco planned to dedicate 226 million U.S. dollars in cash, in-kind, and planned-giving to support different causes combating the outbreak. Facebook Facebook would donate around 20 million U.S. dollars to support relief efforts for the virus. In addition, the leading social network company launched a 100 million U.S. dollars fund, divided between small businesses in 30 different countries to help them stay afloat. Netflix Netflix established a 100 million U.S. dollars fund for cast and crew on productions halted by the COVID-19 pandemic. An additional 15 million U.S. dollars is set to be distributed among third parties in the countries where the company has a large production base. Amazon Amazon's one-million donaton would be split among four foundations in Washington D.C. supporting the vulnerable during the crisis. Being one of the few businesses growing during the coronavirus pandemic, Amazon announced a 25 million U.S. dollars relief fund for its network of independant Amazon Flex drivers, as well as 50 thousand dollars worth of supplies to quarantine housing. Another one million was donated to a new Seattle Foundations fund for members affected by the pandemic. Apple, Microsoft & others Alongside Apple sourcing supplies needed by healthcare workers, as well as donating millions of masks, the company will donate 15 million U.S. dollars as a COVID-19 response. Microsoft's donation to the COVID-19 Response Fund amounted to 61.9 million U.S. dollars. A number of other tech giants contribute to the pandemic handling, including Tesla's CEO Elon Musk's donation of 1,200 ventilators.

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

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data.kingcounty.gov (2024). Seattle Coronavirus Assessment Network (SCAN) Dashboard [Dataset]. https://catalog.data.gov/dataset/seattle-coronavirus-assessment-network-scan-dashboard

Seattle Coronavirus Assessment Network (SCAN) Dashboard

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Dataset updated
Feb 2, 2024
Dataset provided by
data.kingcounty.gov
Area covered
Seattle
Description

The greater Seattle Coronavirus Assessment Network (SCAN) study is a response to the novel coronavirus outbreak (COVID-19). Since March 23rd, 2020, SCAN has worked in collaboration with Public Health Seattle & King County to deliver and collect at-home COVID-19 tests. The SCAN study is focused on testing people who are experiencing symptoms of COVID-19, and is working to increase testing in underrepresented communities and populations. The SCAN dashboard provides geographic and demographic information from King County about who is ordering a test kit (individuals, contacts and groups) and may differ from the testing data which includes all final results (positive, negative and inconclusive). Reported positives and positivity rate are a combination of general SCAN enrollment and contact testing results, and are not representative of overall population frequency. There was a pause in testing from May 13th through June 9th, during which time SCAN worked with the FDA to update procedures and certifications. Data is updated daily, subject to change and may vary across other technical reports due to the specific analyses being performed.

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