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The potential for using volunteered geographic information in pervasive health computing applications

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Abstract

Volunteered geographic information (VGI), or geospatial crowdsourcing, is where citizens (volunteers) contribute data and information about the earth and environment that is explicitly or implicitly georeferenced and then disseminated via collaborative projects such as OpenStreetMap or social media such as Flickr, Twitter, and Facebook. VGI popularity is due in no small part to citizens making use of consumer devices, such as smartphones, to collect increasingly precise locational information and other environmental information. In this paper we describe the potential for using VGI in pervasive health computing applications. Pervasive health computing strives to provide healthcare (services or information) to anyone, at anytime, and anywhere by removing constraints of time and location. We use the OpenStreetMap (OSM) project as a case–study of a very successful VGI project. We analyse the strengths of OSM, its current applicability to pervasive health computing, and if it is a sustainable option for use as a source of spatial information for pervasive computing technologies, particularly in areas where access to information on healthcare services is limited or difficult. The paper closes by summarizing the advantages and challenges of VGI integration into pervasive health computing and outlining some of the key issues where further cross-disciplinary research is required.

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References

  • Abbas R, Michael K, Michael M, Aloudat A (2011) Emerging forms of covert surveillance using gps-enabled devices. J Cases Inf Technol 13(2):19–33

    Article  Google Scholar 

  • Alfa B, Hasholt B, Jrgensen N, Banoeng-Yakubo B (2011) Rainfall and water resources of a coastal basin of ghana. J Hydrol Eng 16(4):316–323. doi:10.1061/(ASCE)HE.1943-5584.0000314

    Google Scholar 

  • Bifet A, Frank E (2010) Sentiment knowledge discovery in twitter streaming data. In: Pfahringer B, Holmes G, Hoffmann A (eds) Discovery Science, Lecture Notes in Computer Science, vol 6332, Springer Berlin / Heidelberg, pp 1–15

  • Boulos MK, Sanfilippo A, Corley C, Wheeler S (2010) Social web mining and exploitation for serious applications: technosocial predictive analytics and related technologies for public health, environmental and national security surveillance. Comp Methods Progr Biomed 100(1):16 – 23

    Article  Google Scholar 

  • Breyer BN, Sen S, Aaronson DS, Stoller ML, Erickson BA, Eisenberg ML (2011) Use of google insights for search to track seasonal and geographic kidney stone incidence in the united states. Urology 78(2):267–271

    Article  Google Scholar 

  • Ciepluch B, Mooney P, Jacob R, Winstanley AC (2009) Using openstreetmap to deliver location-based environmental information in ireland. SIGSPATIAL Special 1:17–22. doi:10.1145/1645424.1645428

    Google Scholar 

  • Clarke P, Ailshire J, Melendez R, Bader M, Morenoff J (2010) Using google earth to conduct a neighborhood audit: reliability of a virtual audit instrument. Health Place 16(6):1224–1229

    Article  Google Scholar 

  • Coast S (2010) How openstreetmap is changing the world. In: Tanaka K, Fröhlich P, Kim KS (eds) 10th International Symposium on Web and Wireless GIS (W2GIS2011), Springer, Lecture Notes in Computer Science, vol 6574, p 4. doi:10.1007/978-3-642-19173-2

  • Collier N, Doan S, Kawazoe A, Goodwin RM, Conway M, Tateno Y, Ngo QH, Dien D, Kawtrakul A, Takeuchi K, Shigematsu M, Taniguchi K (2008) Biocaster. Bioinformatics 24:2940–2941. doi:10.1093/bioinformatics/btn534. http://dl.acm.org/citation.cfm?id=1520805.1520809

    Google Scholar 

  • Conrad C (2010) Google flu trends: mapping influenza in near real time. Int J Inf Dis 14(Supplement 1):e185–e185, 14th International Congress on Infectious Diseases (ICID) Abstracts

    Google Scholar 

  • Conway PH, VanLare JM (2010) Improving access to health care data: The open government strategy. J Am Med Assoc (JAMA) 304(9):1007–1008

    Google Scholar 

  • Curtis A, Mills JW (2012) Spatial video data collection in a post-disaster landscape: The tuscaloosa tornado of april 28th 2011. Appl Geogr 32(2):393–400

    Article  Google Scholar 

  • D’Amato G, Liccardi G, Cecchi L, Pellegrino F, D’Amato M (2010) Facebook: a new trigger for asthma? Lancet 376(9754):1740

    Google Scholar 

  • Deshpande A, Jadad AR (2006) Web 2.0: Could it help move the health system into the 21st century? J Mens Health Gend 3(4):332–336

    Article  Google Scholar 

  • Diaz L, Granell C, Gould M, Huerta J (2011) Managing user-generated information in geospatial cyberinfrastructures. Future Gener Comp Syst 27(3):304–314

    Article  Google Scholar 

  • Ding D, Cooper RA, Pasquina PF, Fici-Pasquina L (2011) Sensor technology for smart homes. Maturitas 69(2):131–136

    Article  Google Scholar 

  • Ding F, Song G, Yin K, Li J, Song A (2009) A gps-enabled wireless sensor network for monitoring radioactive materials. Sens Actuators A: Physical 155(1):210–215

    Article  Google Scholar 

  • Drumea A, Svasta P (2010) Wireless sensor for temperature and humidity measurement. Constanta, Romania, vol 7821, pp Electromagnetica Goldstar S.R.L.; Maritime University of Constanta; Romanian Ministry of Education and Research

  • Ducut E, Fontelo P (2008) Mobile devices in health education: current use and practice. J Comp High Education 20:59–68. doi:10.1007/s12528-008-9003-2

    Google Scholar 

  • Ediger D, Jiang K, Riedy J, Bader DA, Corley C (2010) Massive social network analysis: mining twitter for social good. In: Proceedings of the 2010 39th International Conference on Parallel Processing, IEEE Computer Society, Washington, DC, USA, ICPP ’10, pp 583–593. doi:10.1109/ICPP.2010.66

  • Eysenbach G (2008) Medicine 2.0: Social networking, collaboration, participation, apomediation, and openness. J Med Internet Res 10(3):e22

    Article  Google Scholar 

  • Eysenbach G (2009) Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the internet. J Med Internet Res 1:e11

    Article  Google Scholar 

  • Fabi (2011) Proposed features/healthcare 2.0. OpenStreetMap Wiki pages. http://wiki.openstreetmap.org/wiki/Proposed_features/Healthcare_2.0

  • FourSquare (2011) The FourSquare developer api. Developer Documentation available at http://developer.foursquare.com/

  • Freshminds (2008) Understanding digital exclusion research report. Tech. Rep. 978-1-4098-0640-4, UK Government, Department for Communities and Local Government, Communities and Local Government, Eland House, Bressenden Place, London SW1E 5DU. http://www.communities.gov.uk

  • Friesema I, Koppeschaar C, Donker G, Dijkstra F, van Noort S, Smallenburg R, van der Hoek W, van der Sande M (2009) Internet-based monitoring of influenza-like illness in the general population: experience of five influenza seasons in the netherlands. Vaccine 27(45):6353–6357

    Article  Google Scholar 

  • Goodchild M (2007) Citizens as sensors: the world of volunteered geography. GeoJ 69:211–221. doi:10.1007/s10708-007-9111-y

    Google Scholar 

  • Gray NJ, Klein JD, Noyce PR, Sesselberg TS, Cantrill JA (2005) Health information-seeking behaviour in adolescence: the place of the internet. Soc Sci Med 60(7):1467–1478

    Article  Google Scholar 

  • Haklay M (2009) The digital divide of OpenStreetMap. http://povesham.wordpress.com/tag/deprivation/

  • Haklay M, Weber P (2008a) Openstreetmap: User-generated street maps. Pervasive Computing, IEEE 7(4):12–18. doi:10.1109/MPRV.2008.80

  • Haklay MM, Weber P (2008b) Openstreetmap: User-generated street maps. IEEE Pervasive Computing 7(4):12–18

    Article  Google Scholar 

  • Hannon J, McCarthy K, Smyth B (2011) Finding useful users on twitter: Twittomender the followee recommender. In: Clough P, Foley C, Gurrin C, Jones G, Kraaij W, Lee H, Mudoch V (eds) Advances in Information Retrieval, Lecture Notes in Computer Science, vol 6611, Springer, Berlin, pp 784–787

  • Hollenstein L, Purves R (2010) Exploring place through user-generated content: Using flickr to describe city cores. J Sp Inf Sci 1(1):21–48

    Google Scholar 

  • Jacob R, Mooney P, Corcoran P, Winstanley AC (2010) Haptic-gis: exploring the possibilities. SIGSPATIAL Special 2:13–18: doi: 10.1145/1953102.1953105

    Google Scholar 

  • Jacob R, Shalaik B, Winstanley AC, Mooney P (2011) Haptic feedback for passengers using public transport. Dijon, France, vol 166 CCIS, pp 24–32

  • Karan O, Bayraktar C, Gmkaya H, Karlk B (2012) Diagnosing diabetes using neural networks on small mobile devices. Expert Syst Appl 39(1):54–60

    Article  Google Scholar 

  • Kim S, Pinkerton T, Ganesh N (2011) Assessment of H1N1 questions and answers posted on the web. American J Infect Control, pp 211–217

  • Korhonen I, Bardram J (2004) Guest editorial introduction to the special section on pervasive healthcare. Information Technology in Biomedicine, IEEE Transact 8(3):229–234. doi:10.1109/TITB.2004.835337

  • Kostkova P, de Quincey E, Jawaheer G (2010) The potential of social networks for early warning nad outbreak detection systems: the swine flu twitter study. Int J Infect Dis 14(Supplement 1):e384–e385, 14th International Congress on Infectious Diseases (ICID) Abstracts

    Google Scholar 

  • Kularatna N, Sudantha BH (2008) An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements. Sensors J IEEE 8(4):415–422. doi:10.1109/JSEN.2008.917477 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4459727&tag=1

    Google Scholar 

  • Lampos V, Cristianini N (2010) Tracking the flu pandemic by monitoring the social web. In: Cognitive Information Processing (CIP), 2010 2nd International Workshop on, pp 411–416

  • Lee MG, Jung KK, Park YK, Yoo JJ (2011) Effect of in-vehicle parameters on the vehicle fuel economy. In: Kim Th, Adeli H, Robles RJ, Balitanas M (eds) Advanced Computer Science and Information Technology, Communications in Computer and Information Science, vol 195, Springer, Berlin Heidelberg, pp 132–142

  • Marsh A, Carroll D, Foggie R (2011) Collective health intelligence: a tool for public health. In: Bos L, Carroll D, Kun L, Marsh A, Roa LM (eds) Future Visions on Biomedicine and Bioinformatics 1, Communications in Medical and Care Compunetics, vol 1, Springer Berlin, Heidelberg, pp 21–41

  • Mooney P, Corcoran P (2011) Integrating volunteered geographic information into pervasive health computing applications. University College Dublin, Belfield, Dublin 4, Ireland, pp 93–100

  • Mooney P, Corcoran P, Winstanley AC (2010a) A study of data representation of natural features in openstreetmap. In: Proceedings of the 6th GIScience International Conference on Geographic Information Science, University of Zurich, GIScience 2010, p150

  • Mooney P, Corcoran P, Winstanley AC (2010b) Towards quality metrics for openstreetmap. In: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, New York, NY, USA, GIS ’10, pp 514–517

  • Morris K (2011) Tweet, post, share a new school of health communication. The Lancet Infectious Diseases 11(7):500–501

    Article  Google Scholar 

  • Murthy D, Gross A, Longwell S (2011) Twitter and e-health: a case study of visualizing cancer networks on twitter. In: 2011 International Conference on Information Society (i-Society), pp 110–113

  • Okazaki M, Matsuo Y (2011) Semantic twitter: Analyzing tweets for real-time event notification. In: Breslin J, Burg T, Kim HG, Raftery T, Schmidt JH (eds) Recent Trends and Developments in Social Software, Lecture Notes in Computer Science, vol 6045, Springer, Berlin, Heidelberg, pp 63–74

  • OpenStreetMap (2011a) An introduction to OpenStreetMap. From the OSM Wiki. http://wiki.openstreetmap.org/wiki/Main_Page

  • OpenStreetMap (2011b) The OpenStreetMap project. Online. http://www.openstreetmap.org

  • Ormeling F (2010) From ortelius to openstreetmap transformation of the map into a multifunctional signpost. In: Gartner G, Ortag F (eds) Cartography in Central and Eastern Europe, Lecture Notes in Geoinformation and Cartography, Springer, Berlin Heidelberg, pp 1–16

  • Orwat C, Rashid A, Holtmann C, Wolk M, Scheermesser M, Kosow H, Graefe A (2010) Adopting pervasive computing for routine use in healthcare. Pervasive Comp IEEE 9(2):64–71. doi:10.1109/MPRV.2010.25

    Google Scholar 

  • OSM (2011) The map features page on openstreetmap.org—the community agreed ontology of tags. Online Wiki Page. http://wiki.openstreetmap.org/wiki/Map_Features (checked February 2011)

  • Over M, Schilling A, Neubauer S, Zipf A (2010) Generating web-based 3d city models from openstreetmap: The current situation in germany. Comp Environ Urban Syst 34(6):496–507, geoVisualization and the Digital City—Special issue of the International Cartographic Association Commission on GeoVisualization

    Google Scholar 

  • Prakash S, Naveen T (2011) Pervasive computing application in vehicular technology. In: National Conference on Innovations in Emerging Technology (NCOIET), pp 165–169

  • Prier K, Smith M, Giraud-Carrier C, Hanson C (2011) Identifying health-related topics on twitter. In: Salerno J, Yang S, Nau D, Chai SK (eds) Social Computing, Behavioral-Cultural Modeling and Prediction, Lecture Notes in Computer Science, vol 6589, Springer, Berlin Heidelberg, pp 18–25

  • Rana RK, Chou CT, Kanhere SS, Bulusu N, Hu W (2010) Ear-phone: An end-to-end participatory urban noise mapping system. Stockholm, Sweden, pp 105–116

  • Reddy S, Shilton K, Denisov G, Cenizal C, Estrin D, Srivastava M (2010) Biketastic: sensing and mapping for better biking. Proceedings of the 28th international conference on Human factors in computing systems p 1817–1820. doi:10.1145/1753326.1753598

  • Reddy Y (2006) Pervasive computing: Implications, opportunities and challenges for the society. In: 1st International Symposium on Pervasive Computing and Applications, p 5

  • Schoofs A, Guerrieri A, Delaney D, O’Hare G, Ruzzelli A (2010) Annot: Automated electricity data annotation using wireless sensor networks. Boston, MA, United states

  • Stvilia B, Jrgensen C (2009) User-generated collection-level metadata in an online photo-sharing system. Library Inf Sci Res 31(1):54–65

    Article  Google Scholar 

  • Sun H, Zhao H, Mooney P, Zhao H, Liu D, Yan L (2011) A novel system for moving object detection using bionic compound eyes. J Bionic Eng 8(3):313–322

    Article  Google Scholar 

  • Syed-Abdul S, Lin CW, Scholl J, Fernandez-Luque L, Jian WS, Hsu MH, Liou DM, Li YC (2011) Facebook use leads to health-care reform in taiwan. Lancet 377(9783):2083–2084

    Article  Google Scholar 

  • Takahashi T, Abe S, Igata N (2011) Can twitter be an alternative of real-world sensors? In: Jacko J (ed) Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments, Lecture Notes in Computer Science, vol 6763, Springer, Heidelberg, pp 240–249

  • Teufl P, Kraxberger S (2011) Extracting semantic knowledge from twitter. In: Proceedings of the Third IFIP WG 8.5 international conference on Electronic participation, Springer-Verlag, Heidelberg, ePart’11, pp 48–59. http://dl.acm.org/citation.cfm?id=2035220.2035226

  • Thiagarajan A, Ravindranath L, LaCurts K, Madden S, Balakrishnan H, Toledo S, Eriksson J (2009) Vtrack: Accurate, energy-aware road traffic delay estimation using mobile phones. Berkeley, CA, United states, pp 85–98

  • Wang D, Agrawal DP, Toruksa W, Chaiwatpongsakorn C, Lu M, Keener TC (2010) Monitoring ambient air quality with carbon monoxide sensor-based wireless network. Communications of the ACM 53(5):138–141

    Article  MATH  Google Scholar 

  • Willard SD, Nguyen MM (2011) Internet search trends analysis tools can provide real-time data on kidney stone disease in the united states. Urology 185(4):e898–e899

    Google Scholar 

  • Williams NJ, Van Dyk EE, Vorster FJ (2011) Monitoring solar home systems with pulse width modulation charge control. J Solar Energy Eng Transact ASME 133(2)

  • Wright D, Friedewald M, Gutwirth S, Langheinrich M, Mordini E, Bellanova R, Hert PD, Wadhwa K, Bigo D (2010) Sorting out smart surveillance. Comp Law Security Rev 26(4):343–354

    Article  Google Scholar 

  • Zarro M (2011) Healthcare information behavior: Implicit collaboration with social tagging systems. In: International Conference on Collaboration Technologies and Systems (CTS), p 639. doi:10.1109/CTS.2011.5928752

  • Zhou F, Yang HI, Álamo JMR, Wong JS, Chang CK (2010) Mobile personal health care system for patients with diabetes. In: Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics, Springer-Verlag, Berlin, Heidelberg, ICOST’10, pp 94–101

  • Zook M, Graham M, Shelton T, Gorman S (2010) Volunteered geographic information and crowdsourcing disaster relief: a case study of the haitian earthquake. World Med Health Policy 2(2):Article 2

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Acknowledgments

Dr. Peter Mooney is a research fellow at the Dept. of Comp. Sci. NUIM and he is funded by the Irish Environmental Protection Agency STRIVE programme (grant 2008-FS-DM-14-S4). Dr. Padraig Corcoran is a post-doctoral researcher at the School of Computer Science and Informatics, University College Dublin. His work is funded by the Irish Research Council for Science Engineering Technology (IRCSET). Blazej Ciepluch is a PhD candidate in Computer Science at NUIM and is also funded by the EPA.

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Mooney, P., Corcoran, P. & Ciepluch, B. The potential for using volunteered geographic information in pervasive health computing applications. J Ambient Intell Human Comput 4, 731–745 (2013). https://doi.org/10.1007/s12652-012-0149-4

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