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Clinical Trials/NCT03262337
NCT03262337
Completed
N/A

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

University of Zurich2 sites in 1 country793 target enrollmentSeptember 18, 2017

Overview

Phase
N/A
Intervention
Not specified
Conditions
Travel Health
Sponsor
University of Zurich
Enrollment
793
Locations
2
Primary Endpoint
Self-reported risk behaviors
Status
Completed
Last Updated
5 years ago

Overview

Brief Summary

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.

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.

Registry
clinicaltrials.gov
Start Date
September 18, 2017
End Date
March 31, 2021
Last Updated
5 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

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

Outcomes

Primary Outcomes

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

Secondary Outcomes

  • Self-reported symptoms(for a maximum of 4 weeks during travel)

Study Sites (2)

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