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A Case Study on Epidemic Disease Cartography Using Geographic Information

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Health Information Science (HIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10038))

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Abstract

Research of epidemiology is one of the important components in the field of public health while spatial epidemiology combing traditional epidemiology with Geographic Information Science is often regarded as an effective way for visualization analysis. Here we conduct a disease study under the help of spatial technologies using one-year real epidemic data collected from Ningbo, Zhejiang, China where an epidemic cartography approach taking data scale into account is newly proposed and elaborated. The demonstrated experimental results indicate that the proposed method performs more flexible for analysis than that of traditional statistical methods.

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References

  1. Andritsos, P.: Data clustering techniques. Digital Image Process. 1–34 (2002)

    Google Scholar 

  2. Anselin, L.: Local indicators of spatial association_LISA. Geogr. Anal. 27(2), 93–115 (1995)

    Article  Google Scholar 

  3. Bouguettaya, A., Viet, Q.L.: Data clustering analysis in a multi-dimensional space. Inf. Sci. 112(s1–4), 267–295 (1998)

    Article  Google Scholar 

  4. Elliiot, P., Wakefield, J.C., Best, N.G., Briggs, D.J.: Spatial Epidemiology: Methods and Applications. Oxford University Press, USA (2000)

    Google Scholar 

  5. Guo, R.Z.: Spatial characteristics of interval-scaled and ratio-scaled geo-data and their influence on graphic representation. Map 3, 3–7 (1987). (in Chinese)

    Google Scholar 

  6. Guo, R.Z.: Spatial Analysis. High Education Press, Beijing (2001). (in Chinese)

    Google Scholar 

  7. Hu, T., Du, Q.Y., Ren, F., Liang, S., Lin, D.N., Li, J.J., Chen, Y.: Spatial analysis of the home addresses of hospital patients with hepatitis B infection or hepatoma in Shenzhen, China from 2010 to 2012. Int. J. Environ. Res. Public Health 11(3), 3143–3155 (2014)

    Article  Google Scholar 

  8. Hu, Y., Bergquist, R., Lynn, H., Gao, F.H., et al.: Sandwich mapping of schistosomiasis risk in Anhui Province, China. Geospatial Health 10, 324 (2015)

    Google Scholar 

  9. Jain, A.K., Law, M.H.: Data clustering: a user’s dilemma. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds.) PReMI 2005. LNCS, vol. 3776, pp. 1–10. Springer, Heidelberg (2005). doi:10.1007/11590316_1

    Chapter  Google Scholar 

  10. Koua, E.L., Krark, M.J.: Geovisualization to support the exploration of large health and demographic survey data. Int. J. Health Geogr. 3, 12 (2004)

    Article  Google Scholar 

  11. Law of the People’s Republic of China on Prevention and Treatment of Infectious Diseases. Order No. 5 of the President of the People’s Republic of China (2013)

    Google Scholar 

  12. Li, J., Alem, L., Huang, W.: Supporting frontline health workers through the use of a mobile collaboration tool. In: Yin, X., Ho, K., Zeng, D., Aickelin, U., Zhou, R., Wang, H. (eds.) HIS 2015. LNCS, vol. 9085, pp. 31–36. Springer, Heidelberg (2015). doi:10.1007/978-3-319-19156-0_4

    Google Scholar 

  13. Li, L., Xi, Y.L., Ren, F.: Spatio-temporal distribution characteristics and trajectory similarity analysis of tuberculosis in Beijing, China. Int. J. Environ. Res. Public Health 13(291), 17 p. (2016)

    Google Scholar 

  14. Liu, H.K., Tang, M.: A review on global epidemics spreading. Complex Syst. Complex. Sci. 8(3), 86–94 (2011). (in Chinese)

    Google Scholar 

  15. Liu, Q.L., Li, Z.L., Deng, M., Tang, J.B., Mei, X.M.: Modeling the effect of scale on clustering of spatial points. Comput. Environ. Urban Syst. 52, 81–92 (2015)

    Article  Google Scholar 

  16. Rodriguez-Morales, A.J., Orrego-Acevedo, C.A., Zambrano-Munoz, Y., et al.: Mapping malaria in municipalities of the coffee triangle region of Columbia using geographic information systems. J. Infect. Public Health 8, 603–611 (2015)

    Article  Google Scholar 

  17. Wang, Y.X., Du, Q.Y., Ren, F., Liang, S., Lin, D.N., Tian, Q., Chen, Y., Li, J.J.: Spatio-temporal variation and prediction of ischemic heart disease hospitalization in Shenzhen, China. Int. J. Environ. Res. Public Health 11(5), 4799–4824 (2014)

    Article  Google Scholar 

  18. Wang, Z.S.: Research of disease mapping over small-area based on spatial model. Ph.D. Dissertation, Wuhan University, Wuhan (2014). (in Chinese)

    Google Scholar 

  19. Wang, Z.S., Du, Q.Y., Liang, S., Nie, K., Lin, D.N., Chen, Y., Li, J.J.: Analysis of the spatial variation of hospitalization admissions for hypertension disease in Shenzhen, China. Int. J. Environ. Res. Public Health 11(1), 713–733 (2014)

    Article  Google Scholar 

  20. Ward, H., Iverson, J., Law, M., Maher, L.: Quilt plots: a simple tool for the visualization of large epidemiological data. PLoS ONE 9(1), e85047 (2014)

    Article  Google Scholar 

  21. Xi, Y.L., Ren, F., Liang, S., Zhang, J.H., Lin, D.N.: Spatial analysis of the distribution, risk factors and access to medical resources and patients with hepatitis B in Shenzhen, China. Int. J. Environ. Res. Public Health 11(11), 11505–11527 (2014)

    Article  Google Scholar 

  22. Xiang, F., Guan, W., Huang, X., Fan, X., Cai, Y., Yu, H.: Mobile clinical scale collection system for in-hospital stroke patient assessments using Html5 technology. In: Yin, X., Ho, K., Zeng, D., Aickelin, U., Zhou, R., Wang, H. (eds.) HIS 2015. LNCS, vol. 9085, pp. 185–194. Springer, Heidelberg (2015). doi:10.1007/978-3-319-19156-0_19

    Google Scholar 

  23. Yu, C.B., Ren, F., Du, Q.Y., Zhao, Z.Y., Nie, K.: Web map-based POI visualization for spatial decision support. Cartography Geogr. Inf. Sci. 40(3), 172–181 (2013)

    Article  Google Scholar 

  24. Yu, L., Xue, H.F., Li, G.: Research of epidemic spread model. Comput. Simul. 24(4), 57–60 (2007). (in Chinese)

    Google Scholar 

  25. Zaïane, O.R., Foss, A., Lee, C.-H., Wang, W.: On data clustering analysis: scalability, constraints, and validation. In: Chen, M.-S., Yu, P.S., Liu, B. (eds.) PAKDD 2002. LNCS (LNAI), vol. 2336, pp. 28–39. Springer, Heidelberg (2002). doi:10.1007/3-540-47887-6_4

    Chapter  Google Scholar 

  26. Zeng, X.G., Du, Q.Y., et al.: Design and implementation of a web interactive thematic cartography method based on a web service chain. Bol. Cienc. Geod. 19(2), 172–190 (2013). sec. Artigos, Curitiba

    Article  MathSciNet  Google Scholar 

  27. Zhang, K.Q., Guo, R.Z.: Mathematical Models for Thematic Cartography. Survey and Mapping Press, Beijing (1988). (in Chinese)

    Google Scholar 

  28. Zhao, F.: Research on smart visualization and online interactive mapping model of thematic cartography. Ph.D. Dissertation, Wuhan University, Wuhan (2012). (in Chinese)

    Google Scholar 

  29. Zhou, X.N.: Spatial Epidemiology[M]. Science Press, Beijing (2009). (in Chinese)

    Google Scholar 

Download references

Acknowledgments

This work is supported by Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (15I03) and Natural Science Foundation in China (No. 41601428, 41301439). The authors would like to thank both Health and Family Planning Commission of Ningbo Municipality and Ningbo Zhongjing Technology Development Limited Cooperation for providing the experimental epidemic data.

Author information

Authors and Affiliations

  1. Sino-Aus Research Center on Social Computing and Data Management, Ningbo Institute of Technology, Zhejiang University, No. 1 Xuefu Road, Ningbo, 315010, Zhejiang, China

    Changbin Yu, Yiwen Wang, Ke Huang & Honglei Cui

  2. School of Management, Ningbo Institute of Technology, Zhejiang University, No. 1 Xuefu Road, Ningbo, 315010, Zhejiang, China

    Changbin Yu, Yiwen Wang, Ke Huang & Honglei Cui

  3. College of Computer Science and Technology, Zhejiang University, No. 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China

    Jiangang Yang

  4. Ningbo Zhongjing Technology Development Limited Cooperation, Ningbo, 315010, Zhejiang, China

    Mingfang Dai

  5. Ningbo Yizhou Institute of Surveying and Mapping, Ningbo, 315010, Zhejiang, China

    Hongjian Chen

  6. Service Center for Registration of Immovables in Ningbo, Ningbo, 315010, Zhejiang, China

    Yu Liu

  7. Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen, 518060, China

    Zhensheng Wang

Authors
  1. Changbin Yu
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  2. Jiangang Yang
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  3. Yiwen Wang
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  4. Ke Huang
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  5. Honglei Cui
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  6. Mingfang Dai
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  7. Hongjian Chen
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  8. Yu Liu
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  9. Zhensheng Wang
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Corresponding author

Correspondence to Changbin Yu .

Editor information

Editors and Affiliations

  1. Victoria University , Melbourne, Australia

    Xiaoxia Yin

  2. Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA

    James Geller

  3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Ye Li

  4. Victoria University , Melbourne, Australia

    Rui Zhou

  5. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Hua Wang

  6. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Yanchun Zhang

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Yu, C. et al. (2016). A Case Study on Epidemic Disease Cartography Using Geographic Information. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-48335-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48334-4

  • Online ISBN: 978-3-319-48335-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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