000 to support immediate health requirements in Guyana.

Public health programs in the area have already been interrupted and there exists a great demand for post crisis interventions due to the preexisting vulnerability of the population to dengue, malaria and various other vector-borne diseases. The 27 inches of rain that fell in January triggered significant flooding in the most densely populated areas of Guyana, with an increase of than 70,000 individuals in the Georgetown region and at least 100,000 in coastal regions suffering from the floods seriously.This interaction was evaluated in a multiple logistic-regression model that included baseline features that were significantly correlated with the primary outcomes in a univariate analysis. Secondary outcomes of interest included weight gain, length gain, if the antibiotics were associated with increased prices of adverse events, and period to recovery. Intention-to-treat analyses were used, and all lab tests were two-sided. Dichotomous outcomes had been compared with the use of the chi-square test and Fisher’s exact test; continuous variables had been compared by means of Student’s t-test and evaluation of variance.