- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04663776
Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform
March 4, 2022 updated by: John Brownstein, Boston Children's Hospital
This is a prospective observational study using a mobile study platform (app) that is designed for use on Android phones.
Study participants will provide baseline demographic and medical information and report symptoms of respiratory infection on a weekly basis using the app.
Participants will also report use of prevention techniques on the weekly survey.
Mobility data will be collected passively using the sensors on the participant's smartphone, if the participant has granted the proper device permissions.
The overall goals of the study are to track spread of coronavirus-like illness (CLI), influenza-like illness (ILI) and non-specific respiratory illness (NSRI) on a near-real time basis and identify specific behaviors associated with an increased or decreased risk of developing these conditions.
Study Overview
Status
Completed
Study Type
Observational
Enrollment (Actual)
16000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02115
- Boston Children's Hospital
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
The study population will be adult Android mobile device users who live within the United States.
Description
Inclusion Criteria:
- Adult 18 years or older, Android mobile phone user, Resides in the United States (has a US home address)
Exclusion Criteria:
- Under the age of 18, Does not use an Android mobile device, Opts out of sharing mobility data, Does not live within the United States
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Incidence of influenza-like illness (ILI) and COVID-like illness (CLI) in a study participant.
Time Frame: 6-month participation period
|
The definition of ILI will be adapted from CDC guidelines as a participant reporting fever in addition to cough or sore throat without any other known cause.
All study analyses and outcomes will be reported using federated analytics.
Federated analytics utilizes aggregated responses, rather than individual subject reports.
Due to this, when reporting the final outcome, the total incidence may not add up to exactly 100%.
|
6-month participation period
|
Incidence of COVID-like illness (CLI) in a study participant.
Time Frame: 6-month participation period
|
CLI will be defined as fever and cough, or shortness of breath, or loss of smell.
Incidence will be defined as reporting of the above symptoms in the 7 days prior (and not previously).
All study analyses and outcomes will be reported using federated analytics.
Federated analytics utilizes aggregated responses, rather than individual subject reports.
Due to this, when reporting the final outcome, the total incidence may not add up to exactly 100%.
|
6-month participation period
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Disease Prevalence
Time Frame: 1-year study period
|
Patterns of mobility (e.g.
time away from home, use of public transportation), and reported use of prevention strategies such as wearing a mask and social distancing in participants who do, or don't, develop CIL and/or ILI will be compared.
All study analyses and outcomes will be reported using federated analytics.
Federated analytics utilizes aggregated responses, rather than individual subject reports.
Due to this, when reporting the final outcome, the total prevalence may not add up to exactly 100%.
|
1-year study period
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Molinari NA, Ortega-Sanchez IR, Messonnier ML, Thompson WW, Wortley PM, Weintraub E, Bridges CB. The annual impact of seasonal influenza in the US: measuring disease burden and costs. Vaccine. 2007 Jun 28;25(27):5086-96. doi: 10.1016/j.vaccine.2007.03.046. Epub 2007 Apr 20.
- Menni C, Valdes AM, Freidin MB, Sudre CH, Nguyen LH, Drew DA, Ganesh S, Varsavsky T, Cardoso MJ, El-Sayed Moustafa JS, Visconti A, Hysi P, Bowyer RCE, Mangino M, Falchi M, Wolf J, Ourselin S, Chan AT, Steves CJ, Spector TD. Real-time tracking of self-reported symptoms to predict potential COVID-19. Nat Med. 2020 Jul;26(7):1037-1040. doi: 10.1038/s41591-020-0916-2. Epub 2020 May 11.
- Fu L, Wang B, Yuan T, Chen X, Ao Y, Fitzpatrick T, Li P, Zhou Y, Lin YF, Duan Q, Luo G, Fan S, Lu Y, Feng A, Zhan Y, Liang B, Cai W, Zhang L, Du X, Li L, Shu Y, Zou H. Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis. J Infect. 2020 Jun;80(6):656-665. doi: 10.1016/j.jinf.2020.03.041. Epub 2020 Apr 10.
- Thompson WW, Weintraub E, Dhankhar P, Cheng PY, Brammer L, Meltzer MI, Bresee JS, Shay DK. Estimates of US influenza-associated deaths made using four different methods. Influenza Other Respir Viruses. 2009 Jan;3(1):37-49. doi: 10.1111/j.1750-2659.2009.00073.x.
- Kimball A, Hatfield KM, Arons M, James A, Taylor J, Spicer K, Bardossy AC, Oakley LP, Tanwar S, Chisty Z, Bell JM, Methner M, Harney J, Jacobs JR, Carlson CM, McLaughlin HP, Stone N, Clark S, Brostrom-Smith C, Page LC, Kay M, Lewis J, Russell D, Hiatt B, Gant J, Duchin JS, Clark TA, Honein MA, Reddy SC, Jernigan JA; Public Health - Seattle & King County; CDC COVID-19 Investigation Team. Asymptomatic and Presymptomatic SARS-CoV-2 Infections in Residents of a Long-Term Care Skilled Nursing Facility - King County, Washington, March 2020. MMWR Morb Mortal Wkly Rep. 2020 Apr 3;69(13):377-381. doi: 10.15585/mmwr.mm6913e1.
- Tong JY, Wong A, Zhu D, Fastenberg JH, Tham T. The Prevalence of Olfactory and Gustatory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis. Otolaryngol Head Neck Surg. 2020 Jul;163(1):3-11. doi: 10.1177/0194599820926473. Epub 2020 May 5.
- Garg S, Kim L, Whitaker M, O'Halloran A, Cummings C, Holstein R, Prill M, Chai SJ, Kirley PD, Alden NB, Kawasaki B, Yousey-Hindes K, Niccolai L, Anderson EJ, Openo KP, Weigel A, Monroe ML, Ryan P, Henderson J, Kim S, Como-Sabetti K, Lynfield R, Sosin D, Torres S, Muse A, Bennett NM, Billing L, Sutton M, West N, Schaffner W, Talbot HK, Aquino C, George A, Budd A, Brammer L, Langley G, Hall AJ, Fry A. Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019 - COVID-NET, 14 States, March 1-30, 2020. MMWR Morb Mortal Wkly Rep. 2020 Apr 17;69(15):458-464. doi: 10.15585/mmwr.mm6915e3.
- Zhou H, Thompson WW, Viboud CG, Ringholz CM, Cheng PY, Steiner C, Abedi GR, Anderson LJ, Brammer L, Shay DK. Hospitalizations associated with influenza and respiratory syncytial virus in the United States, 1993-2008. Clin Infect Dis. 2012 May;54(10):1427-36. doi: 10.1093/cid/cis211. Epub 2012 Apr 10.
- Yee J, Unger L, Zadravecz F, Cariello P, Seibert A, Johnson MA, Fuller MJ. Novel coronavirus 2019 (COVID-19): Emergence and implications for emergency care. J Am Coll Emerg Physicians Open. 2020 Feb 22;1(2):63-69. doi: 10.1002/emp2.12034. eCollection 2020 Apr.
- Schuchat A; CDC COVID-19 Response Team. Public Health Response to the Initiation and Spread of Pandemic COVID-19 in the United States, February 24-April 21, 2020. MMWR Morb Mortal Wkly Rep. 2020 May 8;69(18):551-556. doi: 10.15585/mmwr.mm6918e2.
- Jefferson T, Del Mar C, Dooley L, Ferroni E, Al-Ansary LA, Bawazeer GA, van Driel ML, Foxlee R, Rivetti A. Physical interventions to interrupt or reduce the spread of respiratory viruses: systematic review. BMJ. 2009 Sep 21;339:b3675. doi: 10.1136/bmj.b3675.
- Xiao J, Shiu EYC, Gao H, Wong JY, Fong MW, Ryu S, Cowling BJ. Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings-Personal Protective and Environmental Measures. Emerg Infect Dis. 2020 May;26(5):967-975. doi: 10.3201/eid2605.190994. Epub 2020 May 17.
- Mateus AL, Otete HE, Beck CR, Dolan GP, Nguyen-Van-Tam JS. Effectiveness of travel restrictions in the rapid containment of human influenza: a systematic review. Bull World Health Organ. 2014 Dec 1;92(12):868-880D. doi: 10.2471/BLT.14.135590. Epub 2014 Sep 29.
- Baltrusaitis K, Brownstein JS, Scarpino SV, Bakota E, Crawley AW, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. BMC Infect Dis. 2018 Aug 15;18(1):403. doi: 10.1186/s12879-018-3322-3.
- Bajardi P, Vespignani A, Funk S, Eames KT, Edmunds WJ, Turbelin C, Debin M, Colizza V, Smallenburg R, Koppeschaar CE, Franco AO, Faustino V, Carnahan A, Rehn M, Paolotti D. Determinants of follow-up participation in the Internet-based European influenza surveillance platform Influenzanet. J Med Internet Res. 2014 Mar 10;16(3):e78. doi: 10.2196/jmir.3010.
- Wojcik OP, Brownstein JS, Chunara R, Johansson MA. Public health for the people: participatory infectious disease surveillance in the digital age. Emerg Themes Epidemiol. 2014 Jun 20;11:7. doi: 10.1186/1742-7622-11-7. eCollection 2014.
- Smolinski MS, Crawley AW, Baltrusaitis K, Chunara R, Olsen JM, Wojcik O, Santillana M, Nguyen A, Brownstein JS. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. Am J Public Health. 2015 Oct;105(10):2124-30. doi: 10.2105/AJPH.2015.302696. Epub 2015 Aug 13.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 4, 2020
Primary Completion (Actual)
December 8, 2021
Study Completion (Actual)
December 8, 2021
Study Registration Dates
First Submitted
December 5, 2020
First Submitted That Met QC Criteria
December 5, 2020
First Posted (Actual)
December 11, 2020
Study Record Updates
Last Update Posted (Actual)
March 7, 2022
Last Update Submitted That Met QC Criteria
March 4, 2022
Last Verified
March 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Respiratory Tract Diseases
- Respiration Disorders
- Lung Diseases
- Disease Attributes
- Infant, Newborn, Diseases
- Lung Injury
- Infant, Premature, Diseases
- Infections
- Communicable Diseases
- Respiratory Tract Infections
- Respiratory Distress Syndrome
- Respiratory Distress Syndrome, Newborn
- Acute Lung Injury
Other Study ID Numbers
- P00036213
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
All study data is reported as aggregates in federated analytics.
We have language that we have the option to share aggregate data within our protocol and consent, though it is not guaranteed that it will be done.
No individual participant data is available.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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