About this item:

670 Views | 805 Downloads

Author Notes:

Correspondence: Gonzalo M Vazquez-Prokopec, Department of Environmental Studies, Emory University, Atlanta, GA; Email: gmvazqu@emory.edu

Acknowledgments: Helvio Astete Vega, Jimmy Espinoza and John Ramirez-Paredes conducted GPS accuracy assessments.

Bborie Park implemented a database algorithm for translating GPS data into a GIS-ready format.

We thank Kin Sing Yen and George Burkett who provided valuable input regarding GPS design.

We also thank Dr. Dexter Hu for providing the I-clustering algorithm.

Special thanks to the two study participants for kindly agreeing to participate in the field validation of the GPS units.

Disclosures: The study protocol was approved by the Naval Medical Research Center Institutional Review Board in compliance with all applicable Federal regulations governing the protection of human subjects.

Subject:

Research Funding:

This research was funded by grants from the U.S. National Institutes of Health - National Institute of Allergy and Infectious Diseases (NIH/NIAID) award number R01 AI069341-01 and the Innovative Vector Control Consortium (IVCC) to TWS.

Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus

Tools:

Journal Title:

International Journal of Health Geographics

Volume:

Volume 8

Publisher:

, Pages 68-68

Type of Work:

Article | Final Publisher PDF

Abstract:

Background: Our understanding of the effects of human movement on dengue virus spread remains limited in part due to the lack of precise tools to monitor the time-dependent location of individuals. We determined the utility of a new, commercially available, GPS data-logger for long- term tracking of human movements in Iquitos, Peru. We conducted a series of evaluations focused on GPS device attributes key to reliable use and accuracy. GPS observations from two participants were later compared with semi-structured interview data to assess the usefulness of GPS technology to track individual mobility patterns. Results: Positional point and line accuracy were 4.4 and 10.3 m, respectively. GPS wearing mode increased spatial point error by 6.9 m. Units were worn on a neck-strap by a carpenter and a moto- taxi driver for 14-16 days. The application of a clustering algorithm (I-cluster) to the raw GPS positional data allowed the identification of locations visited by each participant together with the frequency and duration of each visit. The carpenter moved less and spent more time in more fixed locations than the moto-taxi driver, who visited more locations for a shorter period of time. GPS and participants' interviews concordantly identified 6 common locations, whereas GPS alone identified 4 locations and participants alone identified 10 locations. Most (80%) of the locations identified by participants alone were places reported as visited for less than 30 minutes. Conclusion: The present study demonstrates the feasibility of a novel, commercially available GPS data-logger for long-term tracking of humans and shows the potential of these units to quantify mobility patterns in relationship with dengue virus transmission risk in a tropical urban environment. Cost, battery life, size, programmability and ease of wear are unprecedented from previously tested units, proving the usefulness of GPS-dataloggers for linking movement of individuals and transmission risk of dengue virus and other infectious agents, particularly in resource-poor settings.

Copyright information:

© 2009 Vazquez-Prokopec et al; licensee BioMed Central Ltd.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 2.0 Generic License (http://creativecommons.org/licenses/by/2.0/).

Creative Commons License

Export to EndNote