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The picture of health: map-based, collaborative spatio-temporal disease tracking

Published:06 November 2012Publication History

ABSTRACT

Disease outbreaks are intimately tied to geographic locations and to times, and as a result, health-related GIS along with open, Web-based data sources are increasingly crucial for public health. One such data source, ProMED-mail, offers disease reports distributed as email postings, along with locations and times of relevance. Locations are specified in text rather than in geometry, which necessitates a method for mapping textual locations to their spatial representations, called geotagging. To address this need, the previously-developed STEWARD system is leveraged for disease detection and tracking by geotagging ProMED-mail postings. While STEWARD was previously used in a disease tracking role, improvements to STEWARD are described including an innovative time slider that allows powerful and intuitive spatio-textual querying. Many additional future improvements for STEWARD and related systems are also discussed.

References

  1. W. G. Aref and H. Samet. Efficient processing of window queries in the pyramid data structure. In PODS'90: Proceedings of the 9th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pages 265--272, Nashville, TN, Apr. 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. L. Buckeridge, H. Burkom, M. Campbell, W. R. Hogan, and A. W. Moore. Algorithms for rapid outbreak detection: a research synthesis. Journal of Biomedical Informatics, 38(2):99--113, Apr. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Centers for Disease Control and Prevention. CDC - OutbreakNet Team, Sept. 2012. URL http://www.cdc.gov/outbreaknet.Google ScholarGoogle Scholar
  4. Children's Hospital Boston. HealthMap | Global Health, Local Knowledge, Sept. 2012. URL http://www.healthmap.org.Google ScholarGoogle Scholar
  5. N. Collier, S. Doan, A. Kawazoe, R. M. Goodwin, M. Conway, Y. Tateno, Q.-H. Ngo, D. Dien, A. Kawtrakul, K. Takeuchi, M. Shigematsu, and K. Taniguchi. BioCaster: detecting public health rumors with a Web-based text mining system. Bioinformatics, 24(24):2940--2941, Oct. 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. G. F. Cooper, D. Dash, J. Levander, W.-K. Wong, W. R. Hogan, and M. M. Wagner. Bayesian biosurveillance of disease outbreaks. In UAI'04: Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, pages 94--103, Banff, Canada, July 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Esri. ArcGIS Online, Sept. 2012. URL http://www.arcgis.com.Google ScholarGoogle Scholar
  8. European Centre for Disease Prevention and Control. Eurosurveillance, Sept. 2012. URL http://www.eurosurveillance.org.Google ScholarGoogle Scholar
  9. S. E. Fienberg and G. Shmueli. Statistical issues and challenges associated with rapid detection of bio-terrorist attacks. Statistics in Medicine, 24(4):513--529, Feb. 2005.Google ScholarGoogle ScholarCross RefCross Ref
  10. D. O. Freedman, P. E. Kozarsky, L. H. Weld, and M. S. Cetron. Geosentinel: The global emerging infections sentinel network of the international society of travel medicine. Journal of Travel Medicine, 6(2):94--98, June 1999.Google ScholarGoogle ScholarCross RefCross Ref
  11. C. C. Freifeld, K. D. Mandl, B. Y. Reis, and J. S. Brownstein. HealthMap: Global infectious disease monitoring through automated classification and visualization of internet media reports. JAMIA: Journal of the American Medical Informatics Association, 15(2):150--157, Mar. 2008.Google ScholarGoogle ScholarCross RefCross Ref
  12. GermTrax. Who is sick? track the spread of sickness and disease at germtrax, Sept. 2012. URL http://www.germtrax.com.Google ScholarGoogle Scholar
  13. J. Ginsberg, M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant. Detecting influenza epidemics using search engine query data. Nature, 457 (7232):1012--1014, Feb. 2009.Google ScholarGoogle ScholarCross RefCross Ref
  14. M. F. Goodchild. Citizens as sensors: The world of volunteered geography. GeoJournal, 69(4):211--221, Aug. 2007.Google ScholarGoogle ScholarCross RefCross Ref
  15. R. Grishman, S. Huttunen, and R. Yangarber. Information extraction for enhanced access to disease outbreak reports. Journal of Biomedical Informatics, 35(4):236--246, Aug. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. International Society for Infectious Diseases. ProMED-mail, Sept. 2012. URL http://www.promedmail.org.Google ScholarGoogle Scholar
  17. M. D. Lieberman and H. Samet. Multifaceted toponym recognition for streaming news. In SIGIR'11: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 843--852, Beijing, China, July 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. M. D. Lieberman and H. Samet. Adaptive context features for toponym resolution in streaming news. In SIGIR'12: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 731--740, Portland, OR, Aug. 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. M. D. Lieberman, H. Samet, J. Sankaranarayanan, and J. Sperling. STEWARD: Architecture of a spatio-textual search engine. In GIS'07: Proceedings of the 15th ACM International Symposium on Geographic Information Systems, pages 186--193, Seattle, WA, Nov. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. D. Lieberman, J. Sankaranarayanan, H. Samet, and J. Sperling. Augmenting spatio-textual search with an infectious disease ontology. In IIMAS'08: Proceedings of the Workshop on Information Integration Methods, Architectures, and Systems, pages 266--269, Cancún, Mexico, Apr. 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. M. D. Lieberman, H. Samet, and J. Sankaranarayanan. Geotagging: Using proximity, sibling, and prominence clues to understand comma groups. In GIR'10: Proceedings of the 6th Workshop on Geographic Information Retrieval, Zurich, Switzerland, Feb. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. M. D. Lieberman, H. Samet, and J. Sankaranarayanan. Geotagging with local lexicons to build indexes for textually-specified spatial data. In ICDE'10: Proceedings of the 26th International Conference on Data Engineering, pages 201--212, Long Beach, CA, Mar. 2010.Google ScholarGoogle ScholarCross RefCross Ref
  23. M. D. Lieberman, H. Samet, J. Sankaranarayanan, and J. Sperling. STEWARD -- Spatio-Textual Extraction on the Web Aiding Retrieval of Documents, Sept. 2012. URL http://steward.umiacs.umd.edu.Google ScholarGoogle Scholar
  24. J. S. Lombardo, H. Burkom, and J. Pavlin. ESSENCE II and the framework for evaluating syndromic surveillance systems. MMWR: Morbidity and Mortality Weekly Report, 53(suppl):159--165, Sept. 2004.Google ScholarGoogle Scholar
  25. M. F. Mokbel, T. M. Ghanem, and W. G. Aref. Spatio-temporal access methods. IEEE Data Engineering Bulletin, 26(2):40--49, June 2003.Google ScholarGoogle Scholar
  26. National Center for Biotechnology Information. Home - PubMed - NCBI, Sept. 2012. URL http://www.ncbi.nlm.nih.gov/pubmed.Google ScholarGoogle Scholar
  27. National Geospatial-Intelligence Agency. NGA: GNS Home, Sept. 2012. URL http://earth-info.nga.mil.Google ScholarGoogle Scholar
  28. Public Health Agency of Canada. The Global Public Health Intelligence Network (GPHIN) - Public Health Agency of Canada, Sept. 2012. URL http://www.phac-aspc.gc.ca/gphin.Google ScholarGoogle Scholar
  29. G. Quercini, H. Samet, J. Sankaranarayanan, and M. D. Lieberman. Determining the spatial reader scopes of news sources using local lexicons. In GIS'10: Proceedings of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 43--52, San Jose, CA, Nov. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. B. Y. Reis, M. Pagano, and K. D. Mandl. Using temporal context to improve biosurveillance. PNAS: Proceedings of the National Academy of Sciences of the United States of America, 100(4):1961--1965, Feb. 2003.Google ScholarGoogle ScholarCross RefCross Ref
  31. H. Samet, A. Rosenfeld, C. A. Shaffer, and R. E. Webber. A geographic information system using quadtrees. Pattern Recognition, 17(6):647--656, November/December 1984.Google ScholarGoogle ScholarCross RefCross Ref
  32. H. Samet, H. Alborzi, F. Brabec, C. Esperança, G. R. Hjaltason, F. Morgan, and E. Tanin. Use of the SAND spatial browser for digital government applications. Communications of the ACM, 46(1):63--66, Jan. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. H. Samet, M. D. Adelfio, B. C. Fruin, M. D. Lieberman, and B. E. Teitler. Porting a web-based mapping application to a smartphone app. In GIS'11: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 525--528, Chicago, Nov. 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. H. Samet, B. E. Teitler, M. D. Adelfio, and M. D. Lieberman. Adapting a map query interface for a gesturing touch screen interface. In WWW'11: Proceedings of the 20th International World Wide Web Conference, pages 257--260, Hyderabad, India, Mar. 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. C. A. Shaffer, H. Samet, and R. C. Nelson. QUILT: a geographic information system based on quadtrees. International Journal of Geographical Information Systems, 4(2):103--131, April--June 1990. Also University of Maryland Computer Science Technical Report TR--1885.1, July 1987.Google ScholarGoogle ScholarCross RefCross Ref
  36. B. E. Teitler, M. D. Lieberman, D. Panozzo, J. Sankaranarayanan, H. Samet, and J. Sperling. NewsStand: A new view on news. In GIS'08: Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 144--153, Irvine, CA, Nov. 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. F.-C. Tsui, J. U. Espino, V. M. Dato, P. H. Gesteland, J. Hutman, and M. M. Wagner. Technical description of RODS: A real-time public health surveillance system. JAMIA: Journal of the American Medical Informatics Association, 10(5):399--408, Sept. 2003.Google ScholarGoogle ScholarCross RefCross Ref
  38. University of Pittsburgh. Real-time Outbreak and Disease Surveillance Laboratory - Home, Sept. 2012. URL http://www.rods.pitt.edu.Google ScholarGoogle Scholar
  39. U.S. Geological Survey. U.S. Board on Geographic Names (BGN), Sept. 2012. URL http://geonames.usgs.gov.Google ScholarGoogle Scholar
  40. K. Wilson and J. S. Brownstein. Early detection of disease outbreaks using the internet. CMAJ: Canadian Medical Association Journal, 180(8):829--831, Apr. 2009.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      HealthGIS '12: Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health
      November 2012
      93 pages
      ISBN:9781450317030
      DOI:10.1145/2452516

      Copyright © 2012 ACM

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      Publication History

      • Published: 6 November 2012

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