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High-dimensional order-free multivariate spatial disease mapping
(Springer, 2023)
Artículo / Artikulua,
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 computational burden. These problems are ...
Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
(SAGE, 2019)
Artículo / Artikulua,
In this paper age-space-time models based on one and two-dimensional P-splines with
B-spline bases are proposed for smoothing mortality rates, where both xed relative scale
and scale invariant two-dimensional penalties ...
Scalable Bayesian modeling for smoothing disease mapping risks in large spatial data sets using INLA
(Elsevier, 2021)
Artículo / Artikulua,
Several methods have been proposed in the spatial statistics literature to analyse big data sets in continuous domains. However, new methods for analysing high-dimensional areal data are still scarce. Here, we propose a ...
Online relative risks/rates estimation in spatial and spatio-temporal disease mapping
(Elsevier, 2019)
info:eu-repo/semantics/article,
Background and objective: Spatial and spatio-temporal analyses of count data are crucial in epidemiology and other fields to unveil spatial and spatio-temporal patterns of incidence and/or mortality risks. However, fitting ...
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
(SAGE Publications, 2021)
Artículo / Artikulua,
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 correlated random effects can mask or even ...
Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach
(Springer, 2022)
Artículo / Artikulua,
The COVID-19 pandemic is having a huge impact worldwide and has highlighted the extent of health inequalities between countries but also in small areas within a country. Identifying areas with high mortality is important ...
Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia
(Public Library of Science, 2018)
info:eu-repo/semantics/article,
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence ...
Big problems in spatio-temporal disease mapping: methods and software
(Elsevier, 2023)
Artículo / Artikulua,
Background and objective: 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 of this paper is ...
Space-time analysis of ovarian cancer mortality rates by age groups in Spanish provinces (1989-2015)
(BioMed Central, 2020)
info:eu-repo/semantics/article,
Background: Ovarian cancer is a silent and largely asymptomatic cancer, leading to late diagnosis and worse prognosis. The late-stage detection and low survival rates, makes the study of the space-time evolution of ovarian ...