Results 51 to 60 of about 3,308,371 (168)

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Choosing Right Bayesian Tools: A Comparative Study of Modern Bayesian Methods in Spatial Econometric Models

Econometrics
We compare three modern Bayesian approaches, Hamiltonian Monte Carlo (HMC), Variational Bayes (VB), and Integrated Nested Laplace Approximation (INLA), for two classic spatial econometric specifications: the spatial lag model and spatial error model. Our
Yuheng Ling, Julie Le Gallo
doaj   +1 more source

An accessible method for implementing hierarchical models with spatio-temporal abundance data.

PLoS ONE, 2012
A common goal in ecology and wildlife management is to determine the causes of variation in population dynamics over long periods of time and across large spatial scales.
Beth E Ross, Mevin B Hooten, David N Koons   +2 more
doaj   +1 more source

Global Burden of Key Components of Cardiovascular–Kidney–Metabolic Syndrome Among Women of Reproductive Age, 1990–2021

Journal of Evidence-Based Medicine, EarlyView.
ABSTRACT Objective Cardiovascular–kidney–metabolic (CKM) syndrome links metabolic, kidney, and cardiovascular disorders, but its burden among women of reproductive age (WRA) remains poorly understood. We quantified the global burden and trends of key CKM‐related conditions and high body mass index (BMI)‐attributable burden among WRA.
Cuiping Jiang, Jieyuzhen Qiu, Chuanli Wei, Enhui Zhou, Huaming Zhu, Weijun Huang, Tianjiao Zhou, Ji Hu   +7 more
wiley   +1 more source

Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study [PDF]

, 2017
Fitting cross-classified multilevel models with binary response is challenging. In this setting a promising method is Bayesian inference through Integrated Nested Laplace Approximations (INLA), which performs well in several latent variable models.
Innocenti, Francesco; id_orcid, Innocenti, Francesco, Francesco Innocenti, Grilli, Leonardo, Leonardo Grilli   +4 more
core   +1 more source

A Bayesian Hierarchical Spatiotemporal Model With Physical Barriers for Extreme Sea‐Level Prediction in Ireland

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT Rising seas raise the vulnerability of coastal regions through higher extreme sea levels. This paper estimates extreme sea levels at gauged and ungauged coastal locations around Ireland and the West Coast of Great Britain, using a Bayesian hierarchical extreme‐value model with spatiotemporal random effects. The annual maxima of tidal residuals
Fernando Mayer, Niamh Mimnagh, Niamh Cahill   +2 more
wiley   +1 more source

An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA [PDF]

, 2022
Various computational challenges arise when applying Bayesian inference approaches to complex hierarchical models. Sampling-based inference methods, such as Markov Chain Monte Carlo strategies, are renowned for providing accurate results but with high ...
Niekerk, Janet van, Rue, Haavard, Chiuchiolo, Cristian   +2 more
core  

Global, Regional, and National Burden of Self‐Harm and Projections to 2030: A Systematic Analysis for the Global Burden of Disease Study 2021

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Self‐harm is a global public health problem, yet comprehensive analyses of its trends and the impact of sociodemographic factors remain insufficient. This study aimed to systematically examine the spatial and temporal trends of self‐harm burden from 1990 to 2021 and forecast trends through 2030.
Jiaying Li, Yushen Dai, Junyan Xi, Stefanos Tyrovolas, Yin Karis Ngai, Yufei Lu, Janelle Yorke, Yan Li   +7 more
wiley   +1 more source

Impact of Community-Based Larviciding on the Prevalence of Malaria Infection in Dar es Salaam, Tanzania. [PDF]

, 2013
The use of larval source management is not prioritized by contemporary malaria control programs in sub-Saharan Africa despite historical success. Larviciding, in particular, could be effective in urban areas where transmission is focal and accessibility ...
Castro, Marcia, Marcia C. Castro (364589), Maheu-Giroux, Mathieu, Mathieu Maheu-Giroux, Castro, Marcia C, Marcia C Castro, Maheu-Giroux, M, Mathieu Maheu-Giroux (445450), Castro, MC   +8 more
core   +2 more sources

Modelling and Inference for Bayesian Bivariate Animal Models using Integrated Nested Laplace Approximations [PDF]

, 2014
In this study we focus on performing inference on bivariate animal models using Integrated Nested Laplace Approximation (INLA). INLA is a methodology for making fast non-sampling based Bayesian inference for hierarchical Gaussian Markov models.
Bøhn, Eirik Dybvik
core   +1 more source