Tracking and visualization of space-time activities for a micro-scale flu transmission study

International Journal of Health Geographics

Volumn 12, Issue , 2013, Pages

  Qi, Feng ^a   Du, Fei ^b  

^a KEAN UNIVERSITY   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Disease transmission; GPS; Individual behaviour; Influenza; Micro scale; Space time activity; Tracking technology

Indexed keywords

DISEASE CONTROL; DISEASE TRANSMISSION; GPS; INFLUENZA; POPULATION DENSITY; PUBLIC HEALTH; SOCIAL BEHAVIOR; SPATIOTEMPORAL ANALYSIS; TRACKING; VISUALIZATION;

ARTICLE; DISEASE TRANSMISSION; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INFLUENZA; PILOT STUDY; SPATIAL BEHAVIOR; STANDARD; STATISTICS; STUDENT; UNIVERSITY;

GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; INFLUENZA, HUMAN; PILOT PROJECTS; SPATIAL BEHAVIOR; STUDENTS; UNIVERSITIES;

EID: 84873363314     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-12-6     Document Type: Article

References (80)

1. Cliff AD, Haggett P, Ord JK. Spatial Aspects of Influenza Epidemics 1987, London: Routledge Kegan & Paul.
2. Riley S. Large-scale spatial-transmission models of infectious disease. Science 2007, 316:1298-1301. 10.1126/science.1134695, 17540894.
3. Colizza V, Barrat A, Barthe'lemy M. Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions. PLoS Med 2007, 4:e13. 10.1371/journal.pmed.0040013, 1779816, 17253899.
4. Eubank S, Guclu H, Kumar VA, Marathe M, Srinivasan A, Toroczkai Z, Wang N. Modeling disease outbreaks in realistic urban social networks. Nature 2004, 429:180-184. 10.1038/nature02541, 15141212.
5. Mugglin AS, Cressie N, Gemmell I. Hierarchical statistical modeling of influenza epidemic dynamics in space and time. Stat Med 2002, 21:2703-2721. 10.1002/sim.1217, 12228886.
6. Choi BC, Pak AW. A simple approximate mathematical model to predict the number of severe acute respiratory syndrome cases and deaths. J Epidemiol Community Health 2003, 57:831-835. 10.1136/jech.57.10.831, 1732283, 14573591.
7. Dye C, Gay N. Epidemiology: modeling the SARS epidemic. Science 2003, 300:1884-1885. 10.1126/science.1086925, 12766208.
8. Meyers LA, Pourbohloul B, Newman ME. Network theory and SARS: predicting outbreak diversity. J Theor Biol 2005, 232:71-81. 10.1016/j.jtbi.2004.07.026, 15498594.
9. Cliff AD, Haggett P, Smallman-Raynor M. The changing shape of island epidemics: historical trends in Icelandic infectious disease waves. Journal of Historical Geography 2008, 1902-1988.
10. Kamel Boulos MN. Descriptive review of geographic mapping of severe acute respiratory syndrome (SARS) on the Internet. Int J Health Geogr 2004, 3:2. 10.1186/1476-072X-3-2, 343293, 14748926.
11. Kitron U. Risk Maps: transmission and burden of vector-borne diseases. Parasitol Today 2000, 16:324-325. 10.1016/S0169-4758(00)01708-7, 10900476.
12. Kapan DD, Bennett SN, Ellis BN, Fox J, Lewis ND, Spencer JH, Saksena S, Wilcox BA. Avian influenza (H5N1) and the evolutionary and social ecology or infectious disease emergence. Ecohealth 2006, 3:187-194.
13. Lipsitch M, Cohen T, Cooper B. Transmission dynamics and control of severe acute respiratory syndrome. Science 2003, 300:1966-1970. 10.1126/science.1086616, 2760158, 12766207.
14. Cohen ML. Changing patterns of infectious disease. Nature 2000, 406:762-767. 10.1038/35021206, 10963605.
15. Weiss RA, McMichael AJ. Social and environmental risk factors in the emergence of infectious diseases. Nat Med 2004, 10:S70-S76. 10.1038/nm1150, 15577934.
16. Crepey P, Barthelemy M. Detecting robust patterns in the spread of epidemics: a case study of influenza in the United States and France. Am J Epidemiol 2007, 166:1244-1251. 10.1093/aje/kwm266, 17938424.
17. Hufnagel L, Brockmann D, Geisel T. Forecast and control of epidemics in a globalized world. Proc Natl Acad Sci 2004, 101:15124-15129. 10.1073/pnas.0308344101, 524041, 15477600.
18. Viboud C, Bjornstad ON, Smith DL, Simonsen L, Miller MA. Synchrony, waves, and spatial hierarchies in the spread of influenza. Science 2006, 312:447-451. 10.1126/science.1125237, 16574822.
19. Brownstein JS, Wolfe CJ, Mandl KD. Empirical evidence for the effect of airline travel on inter-regional influenza spread in the United States. PLoS Med 2006, 3:e401. 10.1371/journal.pmed.0030401, 1564183, 16968115.
20. Donnelly CA, Ghani AC, Leung GM. Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong. Lancet 2003, 361:1761-1766. 10.1016/S0140-6736(03)13410-1, 12781533.
21. Wang W, Ruan S. Simulating the SARS outbreak in Beijing with limited data. J Theor Biol 2004, 227:369-379. 10.1016/j.jtbi.2003.11.014, 15019504.
22. Lloyd-Smith JO, Galvani AP, Getz WM. Curtailing transmission of severe acute respiratory syndrome within a community and its hospital. Proc Biol Sci 2003, 270:1979-1989. 10.1098/rspb.2003.2481, 1691475, 14561285.
23. Qian H, Li Y, Nielsen PV, Huang X. Spatial distribution of infection risk of SARS transmission in a hospital ward. Build Environ 2009, 44:1651-1658.
24. Prothero RM. Disease and mobility: a neglected factor in epidemiology. Int J Epidemiol 1977, 6:259-267. 10.1093/ije/6.3.259, 591173.
25. Morens DM, Folkers GK, Fauci AS. The challenge of emerging and re-emerging infectious diseases. Nature 2004, 430:242-249. 10.1038/nature02759, 15241422.
26. Morse S. Factors in the emergence of infectious diseases. Emerg Infect Dis 1995, 1:7-15. 10.3201/eid0101.950102, 2626828, 8903148.
27. Stoddard ST, Morrison AC, Vazquez-Prokopec GM, Paz Soldan V, Kochel TJ. The role of human movement in the transmission of vector-borne pathogens. PLoS Negl Trop Dis 2009, 3:e481. 10.1371/journal.pntd.0000481, 2710008, 19621090.
28. Thompson R, Begtrup K, Cuamba N, Dgedge M, Mendis C, Gamage-Mendis A, Enosse SM, Barreto J, Sinden RE, Hogh B. The Matola Project: a temporal and spatial study of malaria transmission and disease in a suburban area of Maputo, Mozambique. Am J Trop Med Hyg 1997, 57:550-559.
29. Watts S, Khallaayoune K, Bensefia R, Laamrani H, Gryseels B. The study of human behavior and schistosomiasis transmission in an irrigated area in Morocco. Soc Sci Med 1998, 46:755-765. 10.1016/S0277-9536(97)00171-8, 9522434.
30. Chapin FS. Human Activity Patterns in the City; Things People do in Time and in Space 1974, New York: Wiley.
31. Fox M. Transport planning and the human activity approach. Journal of Transport Geography 1995, 3:105-116.
32. Goodchild MF, Anselin L, Appelbaum RP, Herr-Harthorn B. Towards spatially integrated social science. International Regional Science Review 2000, 23:139-159.
33. Kwan M-P. Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set. Transportation Research Part C 2000, 8:185-203.
34. Ten Hagen K, Kramer R, Modsching M, Gretzel U. Capturing the beaten paths: a novel method for analyzing tourists' spatial behavior at an urban destination. Information and Communication Technologies in Tourism 2006, 75-86. Vienna: Springer, Hitz M, Sigala M, Murphy J.
35. Larson JS, Bradlow ET, Fader PS. An exploratory look at supermarket shopping paths. International Journal of Research in Marketing 2005, 22:395-414.
36. Gonzalez MC, Hidalgo CA, Barabasi A-L. Understanding individual human mobility patterns. Nature 2008, 453:779-782. 10.1038/nature06958, 18528393.
37. Shoval N, Isaacson M. The Application of tracking technologies to the study of pedestrian spatial behavior. The Professional Geographer 2006, 58:172-183.
38. Wolf J, Guensler R, Bachman W. Elimination of the travel diary: an experiment to derive trip purpose from GPS travel data. Transportation Research Board 2001, 17688:125-134.
39. Elgethun K, Fenske RA, Yost MG, Palcisko GJ. Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. Environ Health Perspect 2003, 111:115-122. 1241315, 12515689.
40. Wiehe SE, Carroll AE, Liu GC, Haberkorn KL, Hoch SC, Wilson JS, Fortenberry JD. Using GPS-enabled cell phones to track the travel patterns of Adolescents. Int J Health Geogr 2008, 7:22. 10.1186/1476-072X-7-22, 2426678, 18495025.
41. Mavoa S, Oliver M, Witten K, Badland M. Linking GPS and travel diary data using sequence alignment in a study of children's independent mobility. International Joural of Health Geographics 2011, 10:64.
42. Shoval N, Auslander GK, Freytag T, Landau R, Oswald F, Seidl U, Wahl H, Werner S, Heinik J. The use of advanced tracking technologies for the analysis of mobility in Alzheimer's disease and related cognitive diseases. BMC Geriatr 2008, 8:7. 10.1186/1471-2318-8-7, 2291469, 18366748.
43. Shoval N, Auslander G, Cohen-Shalom K, Isaacson M, Landar R, Heinik J. What can we learn about the mobility of the elderly in the GPS era?. Journal of Transport Geography 2012, 18:603-612.
44. Duncan JS, Badland HM, Schofield G. Combining GPS with heart rate monitoring to measure physical activity in children: a feasibility study. J Sci Med Sport 2009, 12:583-585. 10.1016/j.jsams.2008.09.010, 19036637.
45. Le Faucheur A, Abraham P, Jaquinandi V, Bouye P, Saumet JL, Noury-Desvaux B. Measurement of walking distance and speed in patients with peripheral arterial disease. Circulation 2008, 117:897-904. 10.1161/CIRCULATIONAHA.107.725994, 18250268.
46. Barzilay Y, Shoval N, Liebergall M, Auslander G, Birenboim A, Isaacson M, Vaccaro AR, Kaplan L. Assessing the outcomes of spine surgery using global positioning systems. Spine 2011, 36(4):E263-E267.
47. Morabia A, Amstislavski P, Mirer F, Amstislavski T, Eisl H, Wolff M, Markowitz S. Air pollution and activity during transportation by car, subway, and walking. Am J Prev Med 2009, 37:72-77. 10.1016/j.amepre.2009.03.014, 19524146.
48. Abraham P, Noury-Desvaux B, Gernigon M, Mahe G, Saugaget T, Leftheriotis G, Le Faucheur A. The inter- and intra-unit variability of a low-cost GPS data looger/receiver to study human outdoor walking in view of health and clinical studies. PLoS One 2012, 7:2:e31338.
49. Kerr J, Duncan S, Schipperjin J. Using global positioning systems in health research. Am J Prev Med 2011, 41(5):532-540. 10.1016/j.amepre.2011.07.017, 22011426.
50. Krenn PJ, Mag D, Titze S, Oja P, Jones A, Ogilvie D. Use of global positioning systems to study physical activity and the environment. Am J Prev Med 2011, 41(5):508-515. 10.1016/j.amepre.2011.06.046, 22011423.
51. Terrier P, Schutz Y. How useful is satellite positioning system (GPS) to track gait parameters? A review. J Neuroeng Rehabil 2005, 2:28. 10.1186/1743-0003-2-28, 1224864, 16138922.
52. Kwan M-P. The uncertain geographic context problem. Annals of the Association of American Geographers 2011, 102(5):958-968.
53. Kwan M-P. From place-based to people-based exposure measures. Soc Sci Med 2009, 69:1311-1313. 10.1016/j.socscimed.2009.07.013, 19665828.
54. Boruff BJ, Nathan A, Nijenstein S. Using GPS technology to (re)-examine operational definitions of 'neighbourhood' in place-based health research. Int J Health Geogr 2012, 11:22. 10.1186/1476-072X-11-22, 3490929, 22738807.
55. Renenger A. Satellite tracking and the right to privacy. Hastings Law Journal 2002, 53:549-565.
56. Noury-Desvaux B, Abraham P, Mahe G, Saugaget T, Leftheriotis G, Le Faucheur A. The accuracy of a simple, low-cost GPS data logger/receiver to study outdoor human walking in view of health and clinical studies. PLoS One 2011, 6(9):e23027. 10.1371/journal.pone.0023027, 3172201, 21931593.
57. Duncan JS, Oliver M, MacRae E. Positional accuracy of seven portable GPS receivers under a variety of environmental conditions. Active Living Research Annual Conference 2011, San Diego CA, http://www. Activelivingresearch.org/node/12191.
58. Liu X, Sen A, Bauer J, Zitzmann C. A software client for Wi-Fi based real-time location tracking of patients. Lecture Notes in Computer Science 2008, 4987:141-150.
59. Kwan M-P. GIS methods in time-geographic research: Geocomputation and geovisualization of human activity patterns. Geografiska Annaler B 2004, 86(4):267-280.
60. Andrienko G, Andrienko N, Rinzivillo S, Nanni M, Pedreschi D. A Visual Analyltics Toolkit for cluster-based classification of mobility data. Lecture Notes in Computer Sciecne 2009, 5644:432-435.
61. Gahegan M. The case for inductive and visual techniques in the analysis of spatial data. Journal of Geographical Systems 2000, 2:77-83.
62. Zhao J, Forer P, Harvey AS. Activities, ringmaps and geovisualization of large human movement fields. Information Visualization 2008, 7:198-209.
63. Miller HJ. Modeling accessibility using space-time prism concepts with geographical information systems: Fourteen years on. Classics from IJGIS: Twenty Years of the International Journal of Geographical Information Science and Systems 2007, 175-179. London: Taylor and Francis, Fisher P.
64. Miller HJ. A measurement theory for time geography. Geographical Analysis 2005, 37:17-45.
65. Neutens T, Schwanen T, Witlox F. The prism of everyday life: towards a new research agenda for time geography. Transport Reviews 2011, 31(1):25-47.
66. Ziegler F, Schwanen T. 'I like to go out to be energised by different people': an exploratory analysis of mobility and wellbeing in later life. Ageing and Society 2011, 31(5):758-781.
67. Shaw S-L, Yu H, Bombom LS. A space-time GIS approach to exploring large individual-based spatiotemporal datasets. Transactions in GIS 2008, 12:425-441.
68. Andrienko G, Andrienko N. Spatio-temporal aggregation for visual analysis of movements. IEEE Visual Analytics Science and Technology (VAST 2008) Proceedings 2008, 51-58. Columbus, USA: IEEE Computer Society Press.
69. Kraak M, Koussoulakous A. A visualization environment for the space-time cube. Proceedings of 11th International Conference on Developments in Spatial Data Handling 2004, 189-200. Berlin: Springer, Fisher P.
70. Gatalsky P, Andrienko N, Andrienko G. Interactive analysis of event data using space-time cube. Proceedings of 8th International Conference on Information Visualization 2004, 145-152. London, UK: IEEE Computer Society Press, Banissi E.
71. Ware C. Information Visualization: Perception for Design 2004, CA: Morgan Kauffman.
72. Hagerstrand T. What about people in regional science?. Papers of Regional Science Association 1970, 24:7-21.
73. Kraak MJ, Madzudzo PF. Space time visualization for epidemiological research. ICC 2007: Proceedings of the 23nd international cartographic conference ICC: Cartography for everyone and for you 2007, Moscow, Russia: International Cartographic Association.
74. Mountain D. Visualizing, querying and summarizing individual spatio-temporal behaviour. Exploring Geovisualization 2005, 181-200. Amsterdam: Elsevier Science Ltd, Dykes J, MacEachren AM, Kraak M-J.
75. Tracking The World WorldTracker GPRS specifications http://www.trackingtheworld.com/wtgprs.htm, Tracking The World.
76. Qi F, Du F. Trajectory data analyses for pedestrian space-time activity study. J Vis Exp 2013, 72:e50130.
77. MacEachren AM, Polsky C, Haug D, Brown D, Boscoe F, Beedasy J, Pickle L, Marrara M. Visualizing spatial relationships among health, environmental, and demographic statistics: interface design issues. Proceedings of 18th International Cartographic Conference 1997, 880-887. Stockholm: International Cartographic Association.
78. Shoval N, Isaacson M. Sequence alignment as a method for human activity analysis in space and time. Annals of the Assocation of American Geographers 2006, 97:282-297.
79. Kamel Boulos MN, Berry G. Real-time locating systems (RTLS) in healthcare: a condensed primer. Int J Health Geogr 2012, 11:25. 10.1186/1476-072X-11-25, 3408320, 22741760.
80. Kamel Boulos MN. Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom. Int J Health Geogr 2004, 3(1):1. 10.1186/1476-072X-3-1, 343292, 14748927.