An Accurate Gaussian Process-Based Early Warning System for Dengue Fever

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Albinati, Julio; Meira Jr, Wagner; Pappa, Gisele Lobo;
  • Subject: Statistics - Applications

Dengue fever is a mosquito-borne disease present in all Brazilian territory. Brazilian government, however, lacks an accurate early warning system to quickly predict future dengue outbreaks. Such system would help health authorities to plan their actions and to reduce t... View more
  • References (14)
    14 references, page 1 of 2

    [1] World Health Organization and Special Programme for Research and Training in Tropical Diseases, Dengue: guidelines for diagnosis, treatment, prevention and control. World Health Organization, 2009.

    [2] B. Samir, P. W. Gething, O. J. Brady, J. P. Messina, A. W. Farlow, C. L. Moyes, J. M. Drake, J. S. Brownstein, A. G. Hoen, O. Sankoh, M. F. Myers, D. B. George, T. Jaenisch, G. R. W. Wint, C. P. Simmons, T. W. Scott, J. J. Farrar, and S. I. Hay, “The global distribution and burden of dengue,” Nature, vol. 496, no. 7446, p. 504507, apr 2013.

    [3] S. Naish, P. Dale, J. S. Mackenzie, J. McBride, K. Mengersen, and S. Tong, “Climate change and dengue: a critical and systematic review of quantitative modelling approaches,” BMC infectious diseases, vol. 14, no. 1, p. 167, 2014.

    [4] V. R. Louis, R. Phalkey, O. Horstick, P. Ratanawong, A. WilderSmith, Y. Tozan, and P. Dambach, “Modeling tools for dengue risk mapping - a systematic review,” International Journal of Health Geographics, vol. 13, no. 1, pp. 1-15, 2014. [Online]. Available:

    [5] W. Hu, A. Clements, G. Williams, S. Tong, and K. Mengersen, “Spatial patterns and socioecological drivers of dengue fever transmission in queensland, australia,” Environmental health perspectives, vol. 120, no. 2, p. 260, 2012.

    [6] X. Porcasi, C. H. Rotela, M. V. Introini, N. Frutos, S. Lanfri, G. Peralta, E. A. De Elia, M. A. Lanfri, and C. M. Scavuzzo, “An operative dengue risk stratification system in argentina based on geospatial technology,” Geospatial Health, vol. 6, no. 3, pp. 31-42, 2012.

    [7] S.-C. Chen and M.-H. Hsieh, “Modeling the transmission dynamics of dengue fever: implications of temperature effects,” Science of the Total Environment, vol. 431, pp. 385-391, 2012.

    [8] A. Earnest, S. Tan, and A. Wilder-Smith, “Meteorological factors and el nino southern oscillation are independently associated with dengue infections,” Epidemiology and infection, vol. 140, no. 7, pp. 1244-1251, 2012.

    [9] M. Gharbi, P. Quenel, J. Gustave, S. Cassadou, G. L. Ruche, L. Girdary, and L. Marrama, “Time series analysis of dengue incidence in Guadeloupe, French West Indies: forecasting models using climate variables as predictors,” BMC infectious diseases, vol. 11, no. 1, p. 166, 2011.

    [10] W. Hu, A. Clements, G. Williams, and S. Tong, “Dengue fever and el nino/southern oscillation in Queensland, Australia: a time series predictive model,” Occupational and environmental medicine, vol. 67, no. 5, pp. 307-311, 2010.

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