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Personal profile

Research interests

My research focuses on the development of spatial statistical methods and open-source software for disease surveillance, and has directly informed strategic policy in reducing disease burden in several countries. Past projects include the development of modeling architectures to understand the spatio-temporal patterns and identify targets for intervention of malaria in Africa, leptospirosis in Brazil, and cancer in Australia. I have worked on the development of a number of R packages for disease modeling, detection of clusters, and travel-related spread of disease, and I am the author of SpatialEpiApp, a Shiny web application for the analysis of spatial and spatio-temporal disease data.

Website: https://paula-moraga.github.io

Teaching interests

I have taught biostatistics and spatial statistics courses at both undergraduate and graduate levels at universities in United Kingdom, Australia and Ethiopia, and I have been invited to deliver training courses on disease mapping and R at international workshops. 

I am the author of the book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny published by Chapman & Hall/CRC Biostatistics Series.

Education/Academic qualification

Biostatistics, Master in Science, Harvard University

Statistics, Doctor of Philosophy, University of Valencia

Mathematics, Bachelor of Science, University of Valencia


  • Spatial Statistics
  • Bayesian Disease Mapping
  • Public Health Surveillance

Fingerprint Dive into the research topics where Paula Moraga is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Quality-Adjusted Life Years Medicine & Life Sciences
Spatio-Temporal Analysis Medicine & Life Sciences
Leptospirosis Medicine & Life Sciences
Malaria Medicine & Life Sciences
Brazil Medicine & Life Sciences
Software Medicine & Life Sciences
Global Burden of Disease Medicine & Life Sciences
Population Growth Medicine & Life Sciences

Research Output 2008 2019

DClusterm: Model-Based Detection of Disease Clusters

Gomez-Rubio, V., Moraga, P., Molitor, J. & Rowlingson, B., 22 Aug 2019, In : Journal of Statistical Software. 90, 14, 26 p.

Research output: Contribution to journalArticle

Open Access
2 Citations (Scopus)

Epiflows: an R package for risk assessment of travel-related spread of disease

Moraga, P., Dorigatti, I., Kamvar, Z. N., Piatkowski, P., Toikkanen, S. E., Nagraj, VP., Donnelly, C. A. & Jombart, T., 12 Sep 2019, In : F1000 Research. 7, p. 1-20 20 p., 1374.

Research output: Contribution to journalArticle

Open Access
47 Citations (Scopus)

Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Moraga, P. & GBD 2016 Neurology Collaborators, 1 May 2019, In : The Lancet Neurology. 18, 5, p. 459-480 22 p.

Research output: Contribution to journalArticle

Open Access
6 Citations (Scopus)

Outbreak analytics: a developing data science for informing the response to emerging pathogens

Polonsky, J. A., Baidjoe, A., Kamvar, Z. N., Cori, A., Durski, K., Edmunds, W. J., Eggo, R. M., Funk, S., Kaiser, L., Keating, P., le Polain de Waroux, O., Marks, M., Moraga, P., Morgan, O., Nouvellet, P., Ratnayake, R., Roberts, C. H., Whitworth, J. & Jombart, T., 1 Jul 2019, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 374, 1776, p. 1-11 11 p., 20180276.

Research output: Contribution to journalReview article

Open Access