Abstract
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.
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References
Andrews, J.R., Basu, S.: Transmission dynamics and control of cholera in Haiti: an epidemic model. Lancet 377(9773), 1248–1255 (2011)
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)
Colwell, R.R.: Global climate and infectious disease: the cholera paradigm. Science 274(5295), 2025–2031 (1996)
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)
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)
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)
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)
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)
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: http://arxiv.org/abs/1312.4414 [stat.AP]
Lipp, E., Huq, A., Colwell, R.: Effects of global climate on infectious disease: the cholera model. Clin. Microbiol. Rev. 15(4), 757–770 (2002)
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)
Posny, D., Wang, J.: Modelling cholera in periodic environments. J. Biol. Dyn. 8(1), 1–19 (2014). doi:10.1080/17513758.2014.896482
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)
Wang, J., Liao, S.: A generalized cholera model and epidemic – endemic analysis. J. Biol. Dyn. 6(2), 568–589 (2012)
World Health Organization: severe acute watery diarrhoea with cases positive for Vibrio cholerae, Viet Nam. Wkly. Epidemiol. Rec. 83(18), 157–168 (2008)
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/s11274-014-1604-5
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This work was supported in part by Hanoi Grant 01C-08/-8-2014-2, VNU Grant QG-15-22.
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Thi Le, NA., Ngo, TO., Thi Lai, HT., Le, HQ., Nguyen, HC., Ha, QT. (2016). An Experimental Study on Cholera Modeling in Hanoi. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49390-8_22
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DOI: https://doi.org/10.1007/978-3-662-49390-8_22
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