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Measuring mobility, disease connectivity and individual risk : a review of using mobile phone data and mHealth for travel medicine

Lai, Shengjie and Farnham, Andrea and Ruktanonchai, Nick W. and Tatem, Andrew J.. (2019) Measuring mobility, disease connectivity and individual risk : a review of using mobile phone data and mHealth for travel medicine. Journal of travel medicine, 26 (3). taz019.

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Official URL: https://edoc.unibas.ch/70916/

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Abstract

The increasing mobility of populations allows pathogens to move rapidly and far, making endemic or epidemic regions more connected to the rest of the world than at any time in history. However, the ability to measure and monitor human mobility, health risk and their changing patterns across spatial and temporal scales using traditional data sources has been limited. To facilitate a better understanding of the use of emerging mobile phone technology and data in travel medicine, we reviewed relevant work aiming at measuring human mobility, disease connectivity and health risk in travellers using mobile geopositioning data.; Despite some inherent biases of mobile phone data, analysing anonymized positions from mobile users could precisely quantify the dynamical processes associated with contemporary human movements and connectivity of infectious diseases at multiple temporal and spatial scales. Moreover, recent progress in mobile health (mHealth) technology and applications, integrating with mobile positioning data, shows great potential for innovation in travel medicine to monitor and assess real-time health risk for individuals during travel.; Mobile phones and mHealth have become a novel and tremendously powerful source of information on measuring human movements and origin-destination-specific risks of infectious and non-infectious health issues. The high penetration rate of mobile phones across the globe provides an unprecedented opportunity to quantify human mobility and accurately estimate the health risks in travellers. Continued efforts are needed to establish the most promising uses of these data and technologies for travel health.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Eco System Health Sciences > Health Impact Assessment (Utzinger)
UniBasel Contributors:Farnham, Andrea
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Blackwell
ISSN:1195-1982
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:10 Jul 2019 12:37
Deposited On:10 Jul 2019 12:37

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