Selected publications

Complete list of publications on Google Scholar


Book

Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny

Moraga. Chapman & Hall/CRC Biostatistics Series. ISBN 9780367357955 (2019)


Refereed Journal Articles

Assessing the age- and gender-dependence of the severity and case fatality rates of COVID-19 disease in Spain

Moraga, Ketcheson, Ombao and Duarte. Wellcome Open Research, 5:117 (2020)

Moraga, et al. F1000Research, 7:1374 (2018)

Small Area Disease Risk Estimation and Visualization Using R

Moraga. The R Journal, 10(1):495-506 (2018)

SpatialEpiApp: A Shiny Web Application for the analysis of Spatial and Spatio-Temporal Disease Data

Moraga. Spatial and Spatio-temporal Epidemiology, 23:47-57 (2017)

A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE

Moraga, Cramb, Mengersen and Pagano. Spatial Statistics, 21:27-41 (2017)

Moraga and Kulldorff. Statistical Methods for Medical Research, 25(4):1422-1437 (2016)

Spatio-temporal determinants of urban leptospirosis transmission: Four-year prospective cohort study of slum residents in Brazil

Hagan, Moraga, Costa, et al. PLOS Neglected Tropical Diseases, 10(1): e0004275 (2016)

Modelling the distribution and transmission intensity of lymphatic filariasis in sub-Saharan Africa prior to scaling up interventions: integrated use of geostatistical and mathematical modelling

Moraga, et al. Parasites & Vectors, 8:560 (2015)

Model-based imputation of missing data from the 122 Cities Mortality Reporting System (122 CMRS)

Moraga and Ozonoff. Stochastic Environmental Research and Risk Assessment, 29 (5) 1499-1507 (2015)

Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm

Diggle, Moraga, Rowlingson and Taylor. Statistical Science, 28(4):542-563 (2013)

Gaussian component mixtures and CAR models in Bayesian disease mapping

Moraga and Lawson. Computational Statistics & Data Analysis, 56(6):1417-1433 (2012)

Detection of spatial disease clusters with LISA functions

Moraga and Montes. Statistics in Medicine, 30:1057-1071 (2011)


R packages

SpatialEpiApp: a Shiny web application for the analysis of spatial and spatio-temporal disease data. | CRAN | GitHub | Paper |

DClusterm: an R package for model-based detection of disease clusters. | CRAN | Paper |