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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 ...
Temporal evolution of brain cancer incidence in the municipalities of Navarre and the Basque Country, Spain
(BioMed Central, 2015)
Artículo / Artikulua,
Background: Brain cancer incidence rates in Spain are below the European’s average. However, there are two
regions in the north of the country, Navarre and the Basque Country, ranked among the European regions with ...
A scalable approach for short-term disease forecasting in high spatial resolution areal data
(Wiley-VCH, 2023)
Artículo / Artikulua,
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 large obtaining predictions can be ...
Checking unimodality using isotonic regression: an application to breast cancer mortality rates
(Springer, 2016)
info:eu-repo/semantics/article,
In some diseases it is well-known that a unimodal mortality pattern exists. A clear example in developed countries is breast cancer, where mortality increased sharply until the nineties and then decreased. This clear ...
On the performances of trend and change-point detection methods for remote sensing data
(MDPI, 2020)
info:eu-repo/semantics/article,
Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann-Kendall and Cox-Stuart ...
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 ...
Locally adaptive change-point detection (LACPD) with applications to environmental changes
(Springer, 2021)
Artículo / Artikulua,
We propose an adaptive-sliding-window approach (LACPD) for the problem of change-point detection in a set of time-ordered observations. The proposed method is combined with sub-sampling techniques to compensate for the ...
Evaluating recent methods to overcome spatial confounding
(Springer, 2022)
Artículo / Artikulua,
The concept of spatial confounding is closely connected to spatial regression, although no general definition has been established. A generally accepted idea of spatial confounding in spatial regression models is the change ...
Using RGISTools to estimate water levels in reservoirs and lakes
(MDPI, 2020)
info:eu-repo/semantics/article,
The combination of freely accessible satellite imagery from multiple programs improves the spatio-temporal coverage of remote sensing data, but it exhibits barriers regarding the variety of web services, file formats, and ...
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 ...