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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 ...
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 ...
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 ...