An Experimental Study on Cholera Modeling in Hanoi

  • Ngoc-Anh Thi Le
  • Thi-Oanh Ngo
  • Huyen-Trang Thi Lai
  • Hoang-Quynh Le
  • Hai-Chau Nguyen
  • Quang-Thuy Ha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9622)


Cholera modeling for prediction Cholera state is the research topic is specially considered by researchers. An experimental frame for Cholera modeling based on using data mining techniques is showed in this paper. In the Data Preparation Phase, two versions of data presentation and a solution for feature selection are considered. Moreover, both cases of two-value Cholera state and three-value Cholera state also investigated. Experimental results show that the global presentation is better than the local presentation, F1 measures are between 0.79 and 0.86, and the target variable has correlation with climate condition variables in some cases.


Cholera modeling Feature selection Global data preparation Local data preparation Prediction cholera state 



This work was supported in part by Hanoi Grant 01C-08/-8-2014-2, VNU Grant QG-15-22.


  1. 1.
    Andrews, J.R., Basu, S.: Transmission dynamics and control of cholera in Haiti: an epidemic model. Lancet 377(9773), 1248–1255 (2011)CrossRefGoogle Scholar
  2. 2.
    Chunara, R., Andrews, J.R., Brownstein, J.S.: Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. Am. J. Trop. Med. Hyg. 86(1), 39–45 (2012)CrossRefGoogle Scholar
  3. 3.
    Colwell, R.R.: Global climate and infectious disease: the cholera paradigm. Science 274(5295), 2025–2031 (1996)CrossRefGoogle Scholar
  4. 4.
    Crooks, A.T., Hailegiorgis, A.B.: An agent-based modeling approach applied to the spread of cholera. Environ. Modell. Softw. 62(2014), 164–177 (2014)CrossRefGoogle Scholar
  5. 5.
    Anh, D.D., Lopez, A.L., Thiem, V.D., Grahek, S.L., Duong, T.N., Park, J.K., Kwon, H.J., Favorov, M., Hien, N.T., Clemens, J.D.: Use of oral cholera vaccines in an outbreak in Vietnam: a case control study. PLoS Neglected Trop. Dis. 5(1), e1006 (2011)CrossRefGoogle Scholar
  6. 6.
    Eisenberga, M.C., Kujbida, G., Tuite, A.R., Fisman, D.N., Tien, J.H.: Examining rainfall and cholera dynamics in Haiti using statistical and dynamic modeling approaches. Epidemics 5(2013), 197–207 (2013)CrossRefGoogle Scholar
  7. 7.
    Emch, M., Feldacker, C., Yunus, M., Streatfield, P.K., DinhThiem, V., Canh do, G., Ali, M.: Local environmental predictors of cholera in Bangladesh and Vietnam. Am. J. Trop. Med. Hyg. 78(5), 823–832 (2008)Google Scholar
  8. 8.
    Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S., Brilliant, L.: Detecting influenza epidemics using search engine query data. Nature 457, 1012–1014 (2009)CrossRefGoogle Scholar
  9. 9.
    Koepke, A.A., Longini Jr., I.M., Elizabeth Halloran, M., Wakeeld, J., Minin, V.N.: Predictive modeling of cholera outbreaks in Bangladesh, 3 February 2014. arXiv: [stat.AP]
  10. 10.
    Lipp, E., Huq, A., Colwell, R.: Effects of global climate on infectious disease: the cholera model. Clin. Microbiol. Rev. 15(4), 757–770 (2002)CrossRefGoogle Scholar
  11. 11.
    Nguyen, B.M., Lee, J.H., Cuong, N.T., Choi, S.Y., Hien, N.T., Anh, D.D., Lee, H.R., Ansaruzzaman, M., Endtz, H.P., Chun, J., Lopez, A.L., Czerkinsky, C., Clemens, J.D., Kim, D.W.: Cholera outbreaks caused by an altered Vibrio cholerae O1 El Tor biotype strain producing classical cholera toxin B in Vietnam in 2007 to 2008. J. Clin. Microbiol. 47(5), 1568–1571 (2009)CrossRefGoogle Scholar
  12. 12.
    Posny, D., Wang, J.: Modelling cholera in periodic environments. J. Biol. Dyn. 8(1), 1–19 (2014). doi: 10.1080/17513758.2014.896482MathSciNetCrossRefGoogle Scholar
  13. 13.
    Reiner, R.C., King, A.A., Emch, M., Yunus, M., Faruque, A.S.G., Pascual, M.: Highly localized sensitivity to climate forcing drives endemic cholera in a megacity. Proc. Nat. Acad. Sci. USA 109, 2033–2036 (2012)CrossRefGoogle Scholar
  14. 14.
    Wang, J., Liao, S.: A generalized cholera model and epidemic – endemic analysis. J. Biol. Dyn. 6(2), 568–589 (2012)MathSciNetCrossRefGoogle Scholar
  15. 15.
    World Health Organization: severe acute watery diarrhoea with cases positive for Vibrio cholerae, Viet Nam. Wkly. Epidemiol. Rec. 83(18), 157–168 (2008)Google Scholar
  16. 16.
    Yue, Y., Gong, J., Wang, D., Kan, B., Li, B., Ke, C.: Influence of climate factors on Vibrio cholerae dynamics in the Pearl River estuary, South China. World J. Microbiol. Biotechnol. (2014). doi: 10.1007/s11274-014-1604-5Google Scholar
  17. 17.
  18. 18.

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Ngoc-Anh Thi Le
    • 1
  • Thi-Oanh Ngo
    • 2
  • Huyen-Trang Thi Lai
    • 2
  • Hoang-Quynh Le
    • 2
  • Hai-Chau Nguyen
    • 2
  • Quang-Thuy Ha
    • 2
  1. 1.Hanoi Medical UniversityHanoiVietnam
  2. 2.VNU-University of Engineering and Technology (UET)Cau Giay, HanoiVietnam

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