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Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
(Springer, 2019)
info:eu-repo/semantics/article,
Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose ...
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 ...
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 ...
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 ...
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 ...
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 ...
Using mortality to predict incidence for rare and lethal cancers in very small areas
(VCH Publishers, 2022)
Artículo / Artikulua,
Incidence and mortality figures are needed to get a comprehensive overview of cancer burden. In many countries, cancer mortality figures are routinely recorded by statistical offices, whereas incidence depends on regional ...
Improving the quality of satellite imagery based on ground-truth data from rain gauge stations
(MDPI, 2018)
info:eu-repo/semantics/article,
Multitemporal imagery is by and large geometrically and radiometrically accurate, but the residual noise arising from removal clouds and other atmospheric and electronic effects can produce outliers that must be mitigated ...
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 ...