The relationships between environmental characteristics and species richness in the grasslands of the Colombian Orinoquia are presented and analyzed using an ordinal logistic regression model. Ordinal and scale covariates were included, and their bivariate significance was assessed using Spearman's rho and Kendall's Tau-b. The covariates that showed statistical significance with the weighted richness thresholds (WRT) and defined the model were the soil depth and the soil moisture regime, both of which had positive correlations.
View Article and Find Full Text PDFObjective: To zoning the risk of SARS-CoV-2 transmission in Villavicencio, Colombia, through a multi-criteria spatial evaluation.
Materials And Methods: A multi-criteria evaluation model was implemented, through a hierarchical analysis process, integrated into a Geographic Information System. As criteria, descriptive attributes of the threats and vulnerabilities of viral transmission identified by means of an epidemiological model were included, on the same dimensionless numerical scale and proportional to the probability of contagion; the alternatives evaluated correspond to spatial entities represented by pixels.
This paper attempts to zone yellow fever risk in La Macarena (department of Meta, Colombia) in terms of environmental hazards and socio-economic vulnerabilities. An ecological study was carried out, in which data published from 2007 to 2013 on conditions of the municipality were integrated into a geographic information system. Through a superposition of map layers, magnitudes of hazard and vulnerability proportional to the degree of severity were obtained.
View Article and Find Full Text PDFRev Salud Publica (Bogota)
December 2016
Objective: Characterizing breastfeeding in Puerto Carreño and identifying factors associated with providing breast-milk for the newborn, exclusive breastfeeding and total breastfeeding.
Methods: This descriptive, cross-sectional study, using structured individual and non-random surveys, involved 609 mothers. The statistical analysis methods included univariate and bivariate analysis, survival curves, binary logistic regression and Cox proportional hazard models.
Rev Panam Salud Publica
June 2011
Objective: Design and implement a surveillance method for locating Aedes aegypti infestation foci with the use of larvae traps and spatial interpolation techniques, which facilitate the ongoing estimation of vector abundance in the area by counting the individuals collected in the study area.
Methods: A total of 228 larvae traps were installed--at a rate of one per block--in the most densely populated area of commune five of Villavicencio (Meta). With regionalized information on larvae abundance, spatial interpolations were conducted with the Voronoi polygon, ordinary kriging, and inverse distance weighting techniques.
Introduction: Aedes aegypti is the main vector of dengue in the Americas. The prevention and control of this disease require new monitoring techniques for this mosquito. Knowledge of the spatial and temporal distributions of A.
View Article and Find Full Text PDF