Influenza Clinical Trial
— ITITOfficial title:
Infection Tracking in Travellers (ITIT)
Verified date | December 2020 |
Source | University of Zurich |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The investigators hypothesize that sex, age, area of exposure and purpose of travel are associated with different travel-related infections. The investigators also hypothesize that certain infections will have long-term sequelae. Health-data will be collected from travellers from Switzerland and Europe. The project starts with a pilot study for 50 travellers, followed by the recruiting of 10,000 travellers. The data collection will be via a mobile App (ITIT). The ITIT App will collect active data from travellers. The participants will download the App after signing an electronic consent form and completing a baseline questionnaire. Then the travellers will answer a short daily questionnaire about illness symptoms during travel. The ITIT App will also collect passive data (GPS localisation, environmental and weather data). The project will provide real-time data on travel-related infections and profile travel illness by age, sex and purpose of travel and also identify outbreaks.
Status | Not yet recruiting |
Enrollment | 10000 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 90 Years |
Eligibility | Inclusion Criteria: 1. travellers who cross international borders 2. adults (over 18 years old) 3. those traveling for more than 2 days and less than 8 weeks Exclusion Criteria: 1. Non travellers (not crossing international borders) 2. Minors (under 18 years old) 3. those traveling for less than 2 days and longer than 8 weeks |
Country | Name | City | State |
---|---|---|---|
Switzerland | Epidemiology, Biostatistics and Prevention Institute at the University of Zurich | Zürich |
Lead Sponsor | Collaborator |
---|---|
Patricia Schlagenhauf | Center for Primary Care and Public Health (Unisante), University of Lausanne, Switzerland, ETH Zurich, Swiss Tropical & Public Health Institute, University Hospital, Geneva |
Switzerland,
Farnham A, Blanke U, Stone E, Puhan MA, Hatz C. Travel medicine and mHealth technology: a study using smartphones to collect health data during travel. J Travel Med. 2016 Sep 4;23(6). pii: taw056. doi: 10.1093/jtm/taw056. Print 2016 Jun. — View Citation
Findlater A, Moineddin R, Kain D, Yang J, Wang X, Lai S, Khan K, Bogoch II. The use of air travel data for predicting dengue importation to China: A modelling study. Travel Med Infect Dis. 2019 Sep - Oct;31:101446. doi: 10.1016/j.tmaid.2019.07.002. Epub 2019 Jul 5. — View Citation
Leta S, Beyene TJ, De Clercq EM, Amenu K, Kraemer MUG, Revie CW. Global risk mapping for major diseases transmitted by Aedes aegypti and Aedes albopictus. Int J Infect Dis. 2018 Feb;67:25-35. doi: 10.1016/j.ijid.2017.11.026. Epub 2017 Nov 28. — View Citation
Ponce C, Dolea C. The World Health Organisation (WHO) and International Travel and Health: New collaborative, evidence-based and digital directions. Travel Med Infect Dis. 2019 Jan - Feb;27:1. doi: 10.1016/j.tmaid.2019.01.012. Epub 2019 Jan 17. — View Citation
Schlagenhauf P, Chen LH, Wilson ME, Freedman DO, Tcheng D, Schwartz E, Pandey P, Weber R, Nadal D, Berger C, von Sonnenburg F, Keystone J, Leder K; GeoSentinel Surveillance Network. Sex and gender differences in travel-associated disease. Clin Infect Dis. 2010 Mar 15;50(6):826-32. doi: 10.1086/650575. — View Citation
Schlagenhauf P, Tschopp A, Johnson R, Nothdurft HD, Beck B, Schwartz E, Herold M, Krebs B, Veit O, Allwinn R, Steffen R. Tolerability of malaria chemoprophylaxis in non-immune travellers to sub-Saharan Africa: multicentre, randomised, double blind, four arm study. BMJ. 2003 Nov 8;327(7423):1078. — View Citation
Tomasello D, Schlagenhauf P. Chikungunya and dengue autochthonous cases in Europe, 2007-2012. Travel Med Infect Dis. 2013 Sep-Oct;11(5):274-84. doi: 10.1016/j.tmaid.2013.07.006. Epub 2013 Aug 17. Review. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | incidence of travel-related infectious diseases | The Likert scale, self-rating of severity is the unit used to evaluate infectious disease symptoms based on 4 health domains (gastrointestinal symptoms, respiratory symptoms, skin infections and rashes, fever, pain and myalgia) combined with the number of travellers reporting symptoms to get the incidence (travelers with illnesses per 100 travellers). | 8 weeks | |
Secondary | long-term sequelae of arboviral infections and malaria | The quality-of-life scores and health survey SF-12 version scores will be combined to determine the difference in quality of life due to the infections studied. | 1 year | |
Secondary | change in epidemiology of travel-related infectious diseases | Change in incidence of travel related infectious diseases over time (incidence change/time) | 1 year |
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