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D.R Fimia

Faculty of Health Technology and Nursing (FTSE), University of Medical Sciences of Villa Clara, Cuba


  • Full Length Research Article   
    Modelling of the Total Number of Monthly Mosquito Outbreaks (Diptera: Culicidae) Using the Objective Regressive Regression Methodology in Villa Clara, Cuba
    Author(s): D.R Fimia*, R.R Oses, L.D del Valle, L.W Castaneda and G.F.M Wilford

    The objective of the study was to determine the possible incidence of the ROR methodology in the modelling of the total number of monthly mosquito outbreaks in Villa Clara province, Cuba. The research covered the 13 municipalities of the province, as well as the number of outbreaks reported in the different months of the period analyzed (2010-2020). A descriptive, ecological, retrospective and statistical study was carried out, for which all the information on the work cycles established for surveillance and vector control was collected. The data were organized in the Windows Excel application, by years and months. The forecast of the outbreaks was modelled employing the Objective Regressive Regression Methodology (ROR), with the use of dichotomous variables DS, DI, and NoC. Forty-five mosquito species distributed in 13 genera were identified, with the best represented and distributed.. Read More»
    DOI: 0

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