The index in the updated versions includes a large number of function names inadvertantly left out of the original version. New versions of the NetCDF User's Guides for C and Fortran are now available. See the NetCDF Documentation page for access. In other news, text-only versions of the NetCDF User's Guides for C and Fortran are now available. The source code is freely available, and the documentation is available on-line. NCO consists of nine command line operators that work on generic netCDF files and perform tasks like renaming, concatentation, hyperslabbing, averaging, interpolation, and differencing. Charlie Zender announced the release of version 1.0 of NCO (netCDF operators). More details are available in the announcement. Details on Bayesian model selection, model fit and validation are provided in Additional file 1. Bayesian kriging was implemented in FORTRAN 95 (Compaq Visual FORTRAN Professional 6.6.0) using standard numerical libraries (NAG, The Numerical Algorithm Group Ltd). The analysis was carried out in WinBUG1.4 (Imperial College and Medical Research Council London, United Kingdom). Population data on the number of children under five years of age was combined with spatially explicitly predicted parasitaemia risk to estimate the number of infected children. A regular grid of 231,865 pixels at 4 km2 spatial resolution covering the whole country was generated to predict the parasitaemia risk at unsampled locations and produce a high-resolution risk map. In particular, the models were fitted on a random sample of 85% of the locations and used the remaining locations to compare model-based predictions with observed prevalence by calculating the Mean Absolute Error (MAE). Model validation was performed on the first two models with the highest probability of having generated the data among those considered. Prediction was carried out using Bayesian kriging based on the model with the best predictive ability.

Compaq visual fortran 6.6