36 citations · 100 across the 8 of their papers we have counts for
8 papers
Improving Disease Risk Estimation in Small Areas by Accounting for Spatiotemporal Local Discontinuities
G. Santafé, A. Adin, M. D. Ugarte
This work proposes a two-step method to enhance disease risk estimation in small areas by integrating spatiotemporal cluster detection within a Bayesian hierarchical spatiotemporal…
Suicide Mortality in Spain (2010-2022): Temporal Trends, Spatial Patterns, and Risk Factors
A. Adin, G. Retegui, A. Sánchez Villegas +1
Background: Suicide remains a major public health concern worldwide, responsible for more than 700,000 deaths in 2021, accounting for approximately 1.1\% of all global deaths. Whil…
A proposal for homoscedastic modelling with conditional auto-regressive distributions
Miguel A. Martinez-Beneito, Aritz Adín, Tomás Goicoa +1
Conditional auto-regressive (CAR) distributions are widely used to induce spatial dependence in the geographic analysis of areal data. These distributions establish multivariate de…
A scalable approach for short-term disease forecasting in high spatial resolution areal data
E. Orozco-Acosta, A. Riebler, A. Adin +1
Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very…
High-dimensional order-free multivariate spatial disease mapping
G. Vicente, A. Adin, T. Goicoa +1
Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and c…
Big problems in spatio-temporal disease mapping: methods and software
E. Orozco-Acosta, A. Adin, M. D. Ugarte
Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective o…
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
E. Orozco-Acosta, A. Adin, M. D. Ugarte
Several methods have been proposed in the spatial statistics literature for the analysis of big data sets in continuous domains. However, new methods for analyzing high-dimensional…
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
A. Adin, T. Goicoa, J. S. Hodges +2
Assessing associations between a response of interest and a set of covariates in spatial areal models is the leitmotiv of ecological regression. However, the presence of spatially…