Spatial big data analytics of influenza epidemic in Vellore, India

Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Volumn , Issue , 2014, Pages 19-24

  Lopez, Daphne ^a   Gunasekaran, M ^a   Murugan, B Senthil ^a   Kaur, Harpreet ^b   Abbas, Kaja M ^c  

^a VIT UNIVERSITY   (India)

^b INDIAN COUNCIL OF MEDICAL RESEARCH   (India)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Disease forecasting; Ecological niche model; Epidemiology; Geographically weighted regression; H1N1 influenza

Indexed keywords

DISEASES; ECOLOGY; EPIDEMIOLOGY; FORECASTING; HEALTH; HEALTH RISKS; POPULATION STATISTICS; RAIN; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICS; WIND;

DISEASE FORECASTING; ECOLOGICAL NICHE MODELING; GEOGRAPHICALLY WEIGHTED REGRESSION; GEOGRAPHICALLY WEIGHTED REGRESSION MODELS; H1N1 INFLUENZA; POSITIVE CORRELATIONS; PREVENTION AND CONTROLS; TEMPERATURE AND HUMIDITIES;

BIG DATA;

EID: 84921789431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004422     Document Type: Conference Paper

References (26)

1. J. Burke, Health Analytics: Gaining the Insights to Transform Health Care, 1 edition. Hoboken, New Jersey: Wiley, 2013.
2. M. Salathé, L. Bengtsson, T. J. Bodnar, D. D. Brewer, J. S. Brownstein, C. Buckee, E. M. Campbell, C. Cattuto, S. Khandelwal, P. L. Mabry, and A. Vespignani, "Digital Epidemiology," PLoS Comput Biol, vol. 8, no. 7, p. e1002616, 2012.
3. E. Vynnycky and R. White, An Introduction to Infectious Disease Modelling, 1st ed. Oxford University Press, USA, 2010.
4. M. J. Keeling and P. Rohani, Modeling Infectious Diseases in Humans and Animals, 1st ed. Princeton University Press, 2007.
5. D. U. Pfeiffer, T. P. Robinson, M. Stevenson, K. B. Stevens, D. J. Rogers, and A. C. A. Clements, Spatial Analysis in Epidemiology. Also available as: Hardback | eBook, 2008.
6. L. A. Waller and C. A. Gotway, Applied Spatial Statistics for Public Health Data, 1 edition. Hoboken, N.J: Wiley-Interscience, 2004.
7. X. Jiang and G. Wallstrom, "A Bayesian Network for Outbreak Detection and Prediction," in Proceedings of AAAI-06, Boston, MA, 2006.
8. G. F. Cooper, D. H. Dash, J. D. Levander, W.-K. Wong, W. R. Hogan, and M. M. Wagner, "Bayesian Biosurveillance of Disease Outbreaks," in Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, Arlington, Virginia, United States, 2004, pp. 94-103.
9. D. Neill, A. Moore, and G. Cooper, "A Bayesian Spatial Scan Statistic," Adv. Neural Inf. Process. Syst., vol. 18, 2005.
10. M. Kulldorff, "A spatial scan statistic," Commun. Stat.-Theory Methods, vol. 26, no. 6, pp. 1481-1496, Jan. 1997.
11. T. C. Germann, K. Kadau, I. M. Longini, and C. A. Macken, "Mitigation strategies for pandemic influenza in the United States," Proc. Natl. Acad. Sci. U. S. A., vol. 103, no. 15, pp. 5935-5940, Apr. 2006.
12. G. Chi and J. Zhu, "Spatial Regression Models for Demographic Analysis," Popul. Res. Policy Rev., vol. 27, no. 1, pp. 17-42, Feb. 2008.
13. M. Buscema, E. Grossi, A. Bronstein, W. Lodwick, M. Asadi-Zeydabadi, R. Benzi, and F. Newman, "A New Algorithm for Identifying Possible Epidemic Sources with Application to the German Escherichia coli Outbreak," ISPRS Int. J. Geo-Inf., vol. 2, no. 1, pp. 155-200, Mar. 2013.
14. H. J. Miller, "Tobler's First Law and Spatial Analysis," Ann. Assoc. Am. Geogr., vol. 94, no. 2, pp. 284-289, Jun. 2004.
15. W. R. Tobler, "A Computer Movie Simulating Urban Growth in the Detroit Region," Econ. Geogr., vol. 46, pp. 234-240, Jun. 1970.
16. S. Farber, A. Páez, and E. Volz, "Topology and Dependency Tests in Spatial and Network Autoregressive Models," Geogr. Anal., vol. 41, no. 2, pp. 158-180, Apr. 2009.
17. D. E. Impoinvil, T. Solomon, W. W. Schluter, A. Rayamajhi, R. P. Bichha, G. Shakya, C. Caminade, and M. Baylis, "The spatial heterogeneity between Japanese encephalitis incidence distribution and environmental variables in Nepal," PloS One, vol. 6, no. 7, p. e22192, 2011.
18. M. M. Wall, "A close look at the spatial structure implied by the CAR and SAR models," J. Stat. Plan. Inference, vol. 121, no. 2, pp. 311-324, Apr. 2004.
19. C.-H. Lin, K. L. Schiøler, M. R. Jepsen, C.-K. Ho, S.-H. Li, and F. Konradsen, "Dengue outbreaks in high-income area, Kaohsiung City, Taiwan, 2003-2009," Emerg. Infect. Dis., vol. 18, no. 10, pp. 1603-1611, Oct. 2012.
20. J. Phaisarn, "Spatial Patterns Analysis and Hotspots of HIV/AIDS in Phayao Province, Thailand," Arch. Sci., vol. 65, no. 9, 2012.
21. J. H. Stark, R. Sharma, S. Ostroff, D. A. T. Cummings, B. Ermentrout, S. Stebbins, D. S. Burke, and S. R. Wisniewski, "Local spatial and temporal processes of influenza in Pennsylvania, USA: 2003-2009," PloS One, vol. 7, no. 3, p. e34245, 2012.
22. L. Anselin, "Local Indicators of Spatial Association-LISA," Geogr. Anal., vol. 27, no. 2, pp. 93-115, Apr. 1995.
23. A. S. Fotheringham, C. Brunsdon, and M. Charlton, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. John Wiley &Sons, 2003.
24. C. Brunsdon, A. S. Fotheringham, and M. Charlton, "Some Notes on Parametric Significance Tests for Geographically Weighted Regression," J. Reg. Sci., vol. 39, no. 3, pp. 497-524, Aug. 1999.
25. ArcGIS, Geographic Information Systems Software. ESRI, 2014.
26. H. V. Fineberg and M. E. Wilson, "Epidemic science in real time," Science, vol. 324, no. 5930, p. 987, May 2009.