Ribeiro Amaral, A., et al. (2022). Spatio-temporal modeling of infectious diseases by integrating compartment and point process models. *SERRA*, 37, 1519-1533

Moraga, P. and Baker, L. (2022). rspatialdata: a collection of data sources and tutorials on downloading and visualising spatial data using R. *F1000Research*, 11:77

Moraga, P., et al. (2019). epiflows: an R package for risk assessment of travel-related spread of disease. *F1000Research*, 7:1374

Moraga, P. (2018). Small Area Disease Risk Estimation and Visualization Using R. *The R Journal*, 10(1):495-506

Moraga, P. (2017). SpatialEpiApp: A Shiny Web Application for the analysis of Spatial and Spatio-Temporal Disease Data. *Spatial and Spatio-temporal Epidemiology*, 23:47-57

Moraga, P., et al. (2017). A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE. *Spatial Statistics*, 21:27-41

Moraga, P. and Kulldorff, M. (2016). Detection of spatial variations in temporal trends with a quadratic function. *Statistical Methods for Medical Research*, 25(4):1422-1437

Hagan, J. E., Moraga, P., et al. (2016). Spatio-temporal determinants of urban leptospirosis transmission: Four-year prospective cohort study of slum residents in Brazil. *PLOS Neglected Tropical Diseases*, 10(1): e0004275

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