Unknown

Dataset Information

Surveillance of global, travel-related illness using a novel app: a multivariable, cross-sectional study.


ABSTRACT:

Introduction

Current traveller health surveillance is 'top-down'. Mobile-based surveillance could capture infection symptoms in real time. We aimed to evaluate the spectrum of illness in travellers using a mobile app-based system.

Methods

This study (ClinicalTrials.gov NCT04672577) used an application called Infection Tracking in Travellers (ITIT) that records travel-related illness symptoms with associated geolocation and weather data. The free ITIT app is available in 14 languages. Participants were recruited globally from April 2022 to July 2023. Participants >18 years of age travelled internationally and provided electronic consent. Incentives included the provision of travel health information imported from the WHO website. Symptoms were recorded with daily pop-up quest

SUBMITTER: Lovey T 

PROVIDER: S-EPMC11287070 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature