Syndemic mapping of HIV and other STIs in KwaZulu-Natal: a Bayesian spatio-temporal modeling approach using latent constructs [PDF]
Frontiers in Public HealthSyndemics 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
Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database [PDF]
Communications in statistics. Simulation and computation, 2019 Wildfires play an important role in shaping landscapes and as a source of CO2 and particulate matter, and are a typical spatial point process studied in many papers.
P. Verdoy
semanticscholar +2 more sources
Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models [PDF]
GeoHealthMost 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
An age-structured spatially varying coefficient model for high-resolution mapping of vaccination coverage. [PDF]
PLoS Computational BiologyHigh-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]
Malaria JournalBackground 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
Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling [PDF]
Applied and Environmental MicrobiologyVibrio spp. infections have increased significantly over recent decades. Advances in remote sensing and understanding of environmental parameters driving increased proliferation of pathogenic Vibrio spp. have enabled development of predictive risk models.
Bailey M. Magers +5 more
doaj +2 more sources
Approximate Bayesian inference based on INLA algorithm
Statistical Theory and Related FieldsThe integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
doaj +2 more sources
Assessing drivers of estuarine debris using a Bayesian spatial modelling approach (INLA-SPDE)
Estuarine, Coastal and Shelf Science, 2023 J. Gacutan, H. Tait, Graeme M. Clark
semanticscholar +2 more sources
Environmental and Ecological StatisticsClimate change significantly impacts marine ecosystems worldwide, leading to alterations in the composition and structure of marine communities. In this study, we aim to explore the effects of temperature on demersal fish communities in the Central ...
Claudio Rubino +8 more
semanticscholar +3 more sources
Methods in Ecology and EvolutionSpecies distribution models (SDMs) are widely used to standardize spatially unbalanced data, project climate impacts and identify habitat for conservation.
Max Lindmark +2 more
doaj +2 more sources