#Umd webmap plus

These 737 data points, plus a set of statistically selected environmental covariates, were used in a Bayesian model-based geostatistical (B-MBG) approach to generate a continuous surface (at pixel resolution of 5 km x 5km) of microfilarial prevalence in West Africa prior to the commencement of the OCP. Pre-control microfilarial prevalence data from 737 villages across the 11 constituent countries in the OCP epidemiological database were used as ground-truth data. Histogram of model output mean (left) and median (right) microfilarial prevalence values at all prediction locations. Signal to noise ratio between mean and standard deviation of predictive posteriors. Mean of predictive posterior distributions for estimated microfilarial prevalence of Onchocerca volvulus prior to the commencement of the Onchocerciasis Control Programme in West Africa (OCP) in 1975.

Highest posterior density (HPD) plots of model parameters. MCMC traceplot of the value of the range parameter, П•. MCMC traceplots of all ОІ j regression coefficients. The location of validation points in each K-fold cross-validation dataset. Maps for covariate values at prediction locations, for all other ОІ j covariates included in the final predictive model. Maps for covariate values at prediction locations, for NDVI ОІ j covariates included in the final predictive model.

Lambert Azimuthal Equal Area projection of the world, centred on Africa. Heatmap of distance (in Km) to nearest pre-control survey data point for each map pixel in the study area. Scatterplot of age- and sex-standardised microfilarial prevalence in those aged 5 years and above ( P mf), against the crude, unadjusted prevalence. Location of the data points selected for use in this study after applying pre-control selection criteria. Village locations in the OCP epidemiological database. Population growth rates, factor by which the 1990 population count was multiplied for back-calculation to 1975, and proportion of the population aged 0вЂ“4 years for OCP countries. Further maps derived from the predictive posterior distributions. Posterior distributions of model parameters. Parasitological survey methods and geographical limits of the mapping. Data description and pre-control data selection criteria. S1 File: Detailed description of data and methods.

Umd webmap