- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03262337
TOURIST 2: Tracking Of Urgent Risks In Swiss Travelers (TOURIST2)
An Observational Study Using a Smartphone-app Supported Electronic Survey and Localization Tracking to Map Risk Behaviors and Symptoms of Swiss Travelers to Thailand, China, India, Brazil, Peru and Tanzania From 2 Swiss Travel Clinics
New mobile Health (mHealth) technology creates an opportunity to approach travel medicine research in a different way, revolutionising our understanding of risks to travellers. Using mHealth technology, the Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), developed a TRAVEL app in collaboration with the Eidgnössische Technische Hochschule (ETH) Zurich.
By using this new technology, an extensive collection of data (prospective collection of individual travel behaviour and experienced health events, mapping the travel itinerary via global positioning system (GPS), linking to publicly available local weather data and data on disease endemicity) can be combined and an unprecedented abundance of information on travel behaviour and experienced risks can be obtained. These data will allow a much better understanding of travel risk profiles using cluster analysis. By simultaneously recording health outcomes, the relationship between travel risk profiles and health events can be assessed. In this study, the investigators will address several major shortcomings in travel health in tropical and subtropical destinations by improving the understanding of poorly assessed and potentially underestimated health threats (e.g. risk of accidents and injury, mental health disorders), and travel risks specific to elderly travellers and travellers with chronic conditions. These findings will directly feed back into individual travel advice given by practitioners in Switzerland and finally world-wide.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
New mobile Health (mHealth) technology creates an opportunity to approach travel medicine research in a different way, revolutionising our understanding of risks to travellers. Using mHealth technology, the Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), developed a TRAVEL app in collaboration with the Eidgnössische Technische Hochschule (ETH) Zurich.
By using this new technology, an extensive collection of data (prospective collection of individual travel behaviour and experienced health events, mapping the travel itinerary via global positioning system (GPS), linking to publicly available local weather data and data on disease endemicity) can be combined and an unprecedented abundance of information on travel behaviour and experienced risks can be obtained. These data will allow a much better understanding of travel risk profiles using cluster analysis. By simultaneously recording health outcomes, the relationship between travel risk profiles and health events can be assessed. In this study, the investigators will address several major shortcomings in travel health in tropical and subtropical destinations by improving the understanding of poorly assessed and potentially underestimated health threats (e.g. risk of accidents and injury, mental health disorders), and travel risks specific to elderly travellers and travellers with chronic conditions.
1000 clients traveling to Thailand, China, India, Brazil, Peru or Tanzania will be recruited from the Travel Clinics in Zurich and Basel and through advertising at local travel agents and the universities of ETH and UZH from September 2017 until February 2019. After completing an intake at the clinic, participants will be given the option to use their own Smartphone for data collection, or to use a phone owned by the UZH-EBPI during travel. Participants will use a data collection app for questionnaire responses during and after travel including: a daily questionnaire on travel behaviors, daily symptoms questionnaire, and localization tracking, showing the participants' travel path and locations.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
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Zürich, Switzerland, 8001
- University of Zurich, Epidemiology, Biostatistics and Prevention Institute, Travel Clinic
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Basel Stadt
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Basel, Basel Stadt, Switzerland, 4051
- Andreas Neumayr
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Study recruitment will be conducted at the University of Zurich Travel Clinic and the Travel Clinic at the Swiss Tropical and Public Health Institute.
That means that individuals seeking pre-travel advice at one of the two Travel Clinics will be asked to participate based inclusion criteria defined above.
Furthermore, patients with chronic diseases will be referred to the Travel Clinics by various specialized clinics at the University Hospitals of Zurich and Basel (Gastroenterology, Rheumatology, Pneumology, Cardiology)
Description
Inclusion Criteria:
- Informed Consent
- Traveler to Thailand, China, India, Brazil, Peru or Tanzania
- German-speaking (level 3 or higher)
- Literate (able to read and write in German - level 3 or higher)
- Capable of operating Smartphone application for data collection
- Traveling to Thailand, China, India, Brazil, Peru or Tanzania for ≤ 4 weeks
Exclusion Criteria:
- not fulfilling inclusion criteria
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Elderly Travelers
approximately 135 travelers with an age >= 60 years will be enrolled
|
none, this is an observational study
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Chronic diseased travelers
approximately 225 travelers with a chronic disease will be enrolled
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none, this is an observational study
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Healthy travelers
approximately 640 healthy travelers with be enrolled
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none, this is an observational study
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Self-reported risk behaviors
Time Frame: for a maximum of 4 weeks during travel
|
The study participant will report on daily risk behaviors prior to, during and after travel in a daily app-based questionnaire
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for a maximum of 4 weeks during travel
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Self-reported symptoms
Time Frame: for a maximum of 4 weeks during travel
|
The study participant will report on experienced symptoms/health events prior to, during and after travel in a daily app-based questionnaire
|
for a maximum of 4 weeks during travel
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Silja Bühler, Dr., University of Zurich
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- PB_2017_00412
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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