Initial Screening and Study enrollment will begin in 2021 among adults residing in the Greater Seattle area. Participants will be recruited and driven to the online Study Website managed by UW. If determined to be eligible following completion of the Prescreen Consent and an initial eligibility assessment via REDCap, potential participants will be asked to review and, if interested in participation, to complete the Main Study Consent via REDCap, as well as to engage in enrollment procedures across both REDCap and the Apple Research app. Redcap will be used for prescreening, enrollment survey, and kit activation survey. Participants will use the Apple Research app to complete onboarding surveys, weekly symptom surveys, illness follow-up surveys, and monthly lifestyle surveys. These surveys will help the investigators learn about onset of respiratory symptoms as well as sick contacts, flu and/or COVID-19 vaccination and risk factors for illness. Participants will also receive an Apple Watch to capture certain sensor data-which, along with iPhone sensor data, will be correlated with symptom onset and symptom trajectory. If a participant experiences an acute respiratory illness (ARI), defined as at least one respiratory symptom for at least 24 hours, that individual will be asked to complete a symptom onset survey and self-collect an anterior nasal swab, which will be sent to UW Laboratory Medicine for analysis. Participants will be able to access their COVID swab test results using a secure web portal. Additionally, individuals who test positive or inconclusive for SARS-CoV-2 will be notified via phone by the UW Study Team and given instructions as defined by and in accordance with state, local, and national public health guidance.
The Apple Respiratory Study, a collaboration between researchers at Apple Inc. (the Study Sponsor or Sponsor) and the Seattle Flu Study team at the University of Washington (UW) (the UW Study Team), is a prospective, longitudinal cohort, low risk Study to collect certain data from Apple Watch and iPhone to determine whether such data can detect physiologic and non-physiologic changes in individuals associated with respiratory illnesses due to influenza, SARS-CoV-2 and other respiratory pathogens (the Study).