Assessing and maximizing the acceptability of global positioning system device use for studying the role of human movement in dengue virus transmission in Iquitos, Peru

American Journal of Tropical Medicine and Hygiene

Volumn 82, Issue 4, 2010, Pages 723-730

  Paz Soldan, Valerie A ^a   Stoddard, Steven T ^b   Vazquez Prokopec, Gonzalo ^c   Morrison, Amy C ^b   Elder, John P ^d   Kitron, Uriel ^c   Kochel, Tadeusz J ^e   Scott, Thomas W ^b  

^a TULANE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Emory Ulnversity   (United States)

^d SAN DIEGO STATE UNIVERSITY   (United States)

^e California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; DAILY LIFE ACTIVITY; DENGUE; DISEASE SURVEILLANCE; FEMALE; GLOBAL POSITIONING SYSTEM; HUMAN; INFORMATION PROCESSING; MALE; NORMAL HUMAN; PATIENT ATTITUDE; PERU; VIRUS TRANSMISSION;

ADOLESCENT; ADULT; CHILD; CHILD, PRESCHOOL; DENGUE; FEMALE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; INFORMED CONSENT; MALE; MIDDLE AGED; MOTHERS; PERU; PILOT PROJECTS; POPULATION SURVEILLANCE; YOUNG ADULT;

DENGUE VIRUS;

EID: 77950928677     PISSN: 00029637     EISSN: None     Source Type: Journal    
DOI: 10.4269/ajtmh.2010.09-0496     Document Type: Article

References (22)

1. Stoddard ST, Morrison AC, Vazquez-Prokopec GM, Paz Soldan V, Kochel TJ, Kitron U, Elder JP, Scott TW, 2009. The role of human movement in the transmission of vector-borne pathogens. PLoS Negl Trop Dis 3: e481.
2. Kuno G, 1995. Review of the factors modulating dengue transmission. Epidemiol Rev 17: 321-335. (Pubitemid 26096877)
3. Gonzalez MC Hidalgo CA, Barabasi A-L, 2008. Understanding individual human mobility patterns. Nature 453: 779-782.
4. Schlich R, 2001. Measurement Issues in Identifying Variability in Travel Behaviour. Swiss Transport Research Conference.
5. Nuckols J, Ward M, Jarup L, 2004. Using geographic information systems for exposure assessment in environmental epidemiology studies. Environ Health Perspect 112: 1007-1015. (Pubitemid 38931109)
6. Shoval N, Isaacson M, 2006. Application of tracking technologies to the study of pedestrian spatial behavior. Prof Geogr 58: 172-183.
7. Weis B, Balshawl D, Barr J, Brown D, Ellisman M, Liov P, Omenn G, Potter J, Smith M, Sohn L, Suk W, Sumner S, Swenberg J, Walt D, Watkins S, Thompson C, Wilson S, 2005. Personalized exposure assessment: Promising approaches for human environmental health research. Environ Health Perspect 113: 840-848. (Pubitemid 40984182)
8. Elgethun K, Fenske R, Yost M, Palcisko G, 2003. Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. Environ Health Perspect 111: 115-122.
9. Elgethun K, Yost MG, Fitzpatrick CTE, Nyerges TL, Fenske RA, 2007. Comparison of global positioning system (GPS) tracking and parent-report diaries to characterize children's time-location patterns. J Expo Sci Environ Epidemiol 17: 196-206. (Pubitemid 46524974)
10. Seto EY, Knapp F, Zhong B, Yang C, 2007. The use of a vest equipped with a global positioning system to assess water-contact patterns associated with schistosomiasis. Geospatial Health 1: 233-241.
11. Phillips ML, Hall TA, Esmen NA, Lynch R, Johnson DL, 2001. Use of global positioning system technology to track subject's location during environmental exposure sampling. J Expo Anal Environ Epidemiol 11: 207-215. (Pubitemid 32701609)
12. Troped PJ, Oliveira MS, Matthews CE, Cromley EK, Melly SJ, Craig BA, 2008. Prediction of activity mode with global positioning system and accelerometer data. Med Sci Sports Exerc 40: 972-978.
13. Wiehe SE, Hoch SC, Liu GC, Carroll AE, Wilson JS, Fortenberry JD, 2008. Adolescent travel patterns: pilot data indicating distance from home varies by time of day and day of week. J Adolesc Health 42: 418-420.
14. Instituto Nacional de Estadística e Informática (INEI), 2008. Censos Nationales 2007: XI de Población y VI de Vivienda, Sistema de Consulta de Resultados Censales, Cuadros Estadísticos. Available at: http://desa.inei.gob.pe/censos2007/tabulados/. Accessed August 24, 2009.
15. Hayes CG, Phillips IA, Callahan JD, Griebenow WF, Hyams CK, Wu SJ, Watts DM, 1996. The epidemiology of dengue virus infection among urban, jungle, and rural populations in the Amazon region of Peru. Am J Trop Med Hyg 55: 459-463.
16. Getis A, Morrison A, Gray K, Scott TW, 2003. Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos, Peru. Am J Trop Med Hyg 69: 494-505. (Pubitemid 38248250)
17. Morrison AC, Astete H, Chapilliquen F, Dias G, Gray K, Getis A, Scott TW, 2004. Evaluation of a sampling methodology for rapid assessment of Aedes aegypti infestation levels in Iquitos. J Med Entomol 41: 502-510. (Pubitemid 38693202)
18. Watts DM, Porter KR, Putvatana P, Vasquez B, Calampa C, Hayes CG, Halstead SB, 1999. Failure of secondary infection with American genotype dengue 2 to cause dengue haemorrhagic fever. Lancet 354: 1431-1434. (Pubitemid 29494755)
19. Vasquez-Prokopec GM, Stoddard ST, Paz-Soldan V, Morrison AC, Elder JP, Kochel TJ, Scott TE, Kitron U, 2009. Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus. Int J Health Geogr 8: 68. [Epub ahead of print]
20. Guest G, Bunce A, Johnson L, 2006. How many interviews are enough? An experiment with data saturation and variability. Field Methods 18: 59-82.
21. Patton MQ, 2002. Qualitative Research and Evaluation Methods. Third Edition. Thousand Oaks, CA: Sage Publications.
22. Scott TW, Morrison AC, 2008. Longitudinal field studies will guide a paradigm shift in dengue prevention. Lemon SM, Sparling PF, Hamburg MA, Relman DA, Choffnes ER, Mack A, eds. Vector-Borne Diseases: Understanding the Environmental, Human Health, and Ecological Connections. Washington, DC: The National Academies Press, 132-149.