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.

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.

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.

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...

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

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.

BackgroundRespiratory viruses might influence Streptococcus pneumoniae nasal carriage and subsequent disease risk. We estimated the association between common respiratory viruses and semiquantitative S. pneumoniae nasal carriage density in a household setting before and during the COVID-19 pandemic.MethodsFrom November 2019–June 2021, we enrolled participants in a remote household surveillance study of respiratory pathogens. Participants submitted weekly reports of acute respiratory illness (ARI) symptoms. Mid-turbinate or anterior nasal swabs were self-collected at enrollment, when ARI occurred, and, in the second year of the study only, from household contacts after SARS-CoV-2 was detected in a household member. Specimens were tested using multiplex reverse-transcription PCR for respiratory pathogens, including S. pneumoniae, rhinovirus, adenovirus, common human coronavirus, influenza A/B virus, respiratory syncytial virus (RSV) A/B, human metapneumovirus, enterovirus, and human parainfluenza virus. We estimated differences in semiquantitative S. pneumoniae nasal carriage density, estimated by the inverse of S. pneumoniae relative cycle threshold (Crt) values, with and without viral detection for any virus and for specific respiratory viruses using linear generalized estimating equations of S. pneumoniae Crt values on virus detection adjusted for age and swab type and accounting for clustering of swabs within households.ResultsWe collected 346 swabs from 239 individuals in 151 households that tested positive for S. pneumoniae (n = 157 with and 189 without ≥1 viruses co-detected). Difficulty breathing, cough, and runny nose were more commonly reported among individuals with specimens with viral co-detection compared to without (15%, 80% and 93% vs. 8%, 57%, and 51%, respectively) and ear pain and headache were less commonly reported (3% and 26% vs. 16% and 41%, respectively). For specific viruses among all ages, semiquantitative S. pneumoniae nasal carriage density was greater with viral co-detection for enterovirus, RSV A/B, adenovirus, rhinovirus, and common human coronavirus (P < 0.01 for each). When stratified by age, semiquantitative S. pneumoniae nasal carriage density was significantly greater with viral co-detection among children aged <5 (P = 0.002) and 5–17 years (P = 0.005), but not among adults aged 18–64 years (P = 0.29).ConclusionDetection of common respiratory viruses was associated with greater concurrent S. pneumoniae semiquantitative nasal carriage density in a household setting among children, but not adults.

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.

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 ---

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 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.

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.

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 ** percent in daily household viewership of local news. Several markets saw growth of more than ** percent, though the highest was Seattle-Tacoma with ** percent more households viewing local news on a daily basis in the week ending March 9 than in the corresponding week of February 2020.

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.

Between the weeks of February 3 and March 9, 2020, the DMA (Designated Market Area) in the United States with the highest increased in viewership of local news on major broadcast networks among adults aged 25 to 54 years old was San Francisco, with a **** percent audience increase in March 2020 compared to the same week in February that year. The coronavirus spread rapidly across the United States in early to mid-March, sparking an increase the number of individuals self-isolating at home, quarantining, and turning to their preferred news sources to keep up to date with the outbreak. The West Coast of the U.S. was hit earlier than other parts of the country, explaining the high viewership increase in the key demographic in San Francisco, LA, and Seattle.

Demographics of King County, Vashon Island, and Island County communities.

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.

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.

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)

Examples: Sentiment scores of the five COVID-19 related tweets in Table 3 calculated using Vader and NRC.