Derivative-based spatial mediation with INLA-SPDE [PDF]
In many applied fields, it may be of interest to evaluate mediational mechanisms occurring in spatial domains. The approaches proposed so far in the literature to address this issue deal with areal data and often consider linear models. In this paper, we
Germana Garofalo +2 more
exaly +5 more sources
Spatio-temporal data fusion for the analysis of in situ and remote sensing data using the INLA-SPDE approach [PDF]
We propose a Bayesian hierarchical model to address the challenge of spatial misalignment in spatio-temporal data obtained from in situ and satellite sources. The model is fit using the INLA-SPDE approach, which provides efficient computation. Our methodology combines the different data sources in a "fusion"" model via the construction of projection ...
Samuel Wong
exaly +4 more sources
Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA-SPDE approach [PDF]
Abstract Ebola virus (EBV) disease is globally acknowledged public health emergence, which is endemic in the West and equatorial Africa. To understand the epidemiology especially the dynamic pattern of EBV disease, we analyse the EBV case notification data for confirmed cases and reported deaths of the ongoing outbreak in Democratic ...
Oyelola Adegboye +4 more
core +5 more sources
Bayesian Spatial Modelling with R-INLA [PDF]
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
doaj +4 more sources
Integrating migration into cancer geography: spatial clustering of five digestive cancer burden in China [PDF]
IntroductionChina’s digestive cancer landscape presents a dual challenge, the significant geographic disparity and the distorting effect of large-scale internal migration on burden estimation.
Guijin Li +27 more
doaj +2 more sources
Syndemic mapping of HIV and other STIs in KwaZulu-Natal: a Bayesian spatio-temporal modeling approach using latent constructs [PDF]
Syndemics involving Human immunodeficiency virus (HIV) and other sexually transmitted infections (STIs) remain a major public health challenge in sub-Saharan Africa, and understanding their spatial and temporal dynamics is critical for effective ...
Exaverio Chireshe +5 more
doaj +2 more sources
Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models [PDF]
Most of the United States (US) population resides in cities, where they are subjected to the urban heat island effect. In this study, we develop a method to estimate hourly air temperatures at 0.01°×0.01° resolution, improving exposure assessment of US ...
Eva Marquès, Kyle P. Messier
doaj +2 more sources
Modeled damage estimates are an important source of information in the hours to weeks following major earthquake disasters, but often lack sufficient spatial resolution for highlighting specific areas of need. Using damage assessment data from the 2015 Gorkha, Nepal Earthquake, this paper evaluates a Bayesian spatial model (INLA-SPDE) for interpolating
Bradley Wilson
openaire +4 more sources
An age-structured spatially varying coefficient model for high-resolution mapping of vaccination coverage. [PDF]
High-resolution maps of vaccination coverage are valuable for uncovering heterogeneities in coverage to inform vaccine delivery strategies. Coverage maps stratified by age can reveal additional heterogeneities in the timeliness of vaccination and ...
C Edson Utazi +5 more
doaj +2 more sources
Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon [PDF]
Background Gabon still bears significant malaria burden despite numerous efforts. To reduce this burden, policy-makers need strategies to design effective interventions.
Fabrice Mougeni +3 more
doaj +2 more sources

