@article{c41c5cba6b234dbc8d18824c0fcb5e23,
title = "Bivariate binomial spatial modeling of Loa loa prevalence in tropical Africa",
abstract = "We present a state-of-the-art application of smoothing for dependent bivariate binomial spatial data to Loa loa prevalence mapping in West Africa. This application starts with the nonspatial calibration of survey instruments, continues with the spatial model building and assessment, and ends with robust, tested software intended for use by field workers for online prevalence map updating. From a statistical perspective, we address several important methodological issues: building spatial models that are sufficiently complex to capture the structure of the data but remain computationally usable, reducing the computational burden in the handling of very large covariate data sets, and devising methods for comparing spatial prediction methods for a given exceedance policy threshold.",
keywords = "Geostatistics, Low rank, Thin-plate splines",
author = "Crainiceanu, {Ciprian M.} and Diggle, {Peter J.} and Barry Rowlingson",
note = "Funding Information: Ciprian M. Crainiceanu is Assistant Professor, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205 (E-mail: ccrainic@jhsph. edu). Peter J. Diggle is Professor, Department of Medicine, Lancaster University, Lancaster LA1 4YF, U.K. and Adjunct Professor, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205 (E-mail: p.diggle@ lancaster.ac.uk). Barry Rowlingson is Research Officer, Department of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, U.K. (E-mail: B.Rowlingson@lancaster.ac.uk). This work was supported by World Health Organization grant F30/181/215 (Calibration and Mapping for Parasitological and RAPLOA estimates of Loa loa Prevalence). Diggle{\textquoteright}s work also was supported by the U.K. Engineering and Physical Sciences Research Council through the award of a Senior Fellowship (grant GR/S48059/01), and by the National Institute of Environmental Health Science grant 1 R01 ES012054 (Statistical Methods for Environmental Epidemiology). Copyright: Copyright 2011 Elsevier B.V., All rights reserved.",
year = "2008",
month = mar,
doi = "10.1198/016214507000001409",
language = "English (US)",
volume = "103",
pages = "21--37",
journal = "Journal of the American Statistical Association",
issn = "0162-1459",
publisher = "Taylor and Francis Ltd.",
number = "481",
}