Results 61 to 70 of about 3,308,371 (168)

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007

Cadernos de Saúde Pública, 2013
This study aimed to analyze the spatial distribution of dengue risk and its association with socio-environmental conditions. This was an ecological study of the counts of autochthonous dengue cases in the municipality of Campinas, São Paulo State, Brazil,
José Vilton Costa, Maria Rita Donalisio, Liciana Vaz de Arruda Silveira   +2 more
doaj   +1 more source

Need to go further: using INLA to discover limits and chances of burglaries’ spatiotemporal prediction in heterogeneous environments

Crime Science, 2022
Near-repeat victimization patterns have made predictive models for burglaries possible. While the models have been implemented in different countries, the results obtained have not always been in line with initial expectations; to the point where their ...
Pere Boqué, Marc Saez, Laura Serra
doaj   +1 more source

A Bayesian Spatiotemporal Model for Joint Estimation of Brain Activation and Connectivity in fMRI Studies

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT Task‐based functional magnetic resonance imaging (fMRI) experiments play a crucial role in modern data‐driven neuroscience research. These studies often aim to understand how external stimuli trigger activation in specific brain regions and to explore functional connectivity patterns among predefined regions, commonly referred to as regions of
Parisa Naseri, Yuliya Shapovalova, Ioan Gabriel Bucur, Charlotte Cambier van Nooten, Giancarlo Valente, Tom Heskes   +5 more
wiley   +1 more source

Markov chain Monte Carlo with the Integrated Nested Laplace Approximation

, 2018
The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented as a latent Gaussian model (LGM).
Gómez-Rubio, Virgilio, Rue, Haavard
core   +1 more source

Joint Models of Two Longitudinal Biomarkers and Clustered Survival Data for Cluster‐Informed Dynamic Prediction With Application to Periodontitis

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT Joint modeling of longitudinal data and time‐to‐event data have been extended to accommodate multilevel data structures. In dental studies, data often exhibit a multilevel hierarchy: each patient has multiple teeth, and one or more biomarkers are measured repeatedly over time for each tooth.
Sean Xinyang Feng, Laurent Briollais, Aya A. Mitani   +2 more
wiley   +1 more source

Tobacco‐Attributable Burden of Early‐Onset Ischemic Heart Disease From 1990 to 2023: A Global Analysis Using GBD 2023 and Age‐Period‐Cohort Modeling

Clinical Cardiology, Volume 49, Issue 8, August 2026.
Using GBD 2023 data, we found that age‐standardized tobacco‐attributable early‐onset ischemic heart disease burden declined globally from 1990 to 2023, while absolute DALYs and deaths increased. Persistent male and regional disparities, together with uncertain mortality projections, underscore the need for stronger tobacco control and integrated ...
Xin Ouyang, Xiangting Chen, Fei He, Qingbin Li, Xuhui Lin, Kailun Qiu, Ruowen Zhao, Bowen Liu, Yibin Liu, Pengcheng He   +9 more
wiley   +1 more source

Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates

Environmental Challenges
Soil organic carbon (SOC) plays a critical role in climate mitigation and agricultural sustainability, yet its spatial distribution in the eastern Democratic Republic of the Congo (DRC) remains poorly quantified.
Alain Matazi Kangela, Bitaisha Nakishuka Shukuru, Serge Mugisho Mukotanyi, Gerard Imani, Yannick Mugumaarhama, Daniel Muhindo Iragi, Dieudonné Shamamba Bahati, Janvier Bigabwa Bashagaluke, Wivine Munyahali   +8 more
doaj   +1 more source

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

Geophysical Research Letters
Understanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee, Daniel T. Trugman, Greg Hirth, Jaeseok Lee, Victor C. Tsai   +4 more
doaj   +1 more source

Global Epidemiology of Amputation‐Related Disability From 1990 to 2021: Geographic Variation and Projections to 2050

Journal of Cachexia, Sarcopenia and Muscle, Volume 17, Issue 4, August 2026.
ABSTRACT Background Amputation is a critical event leading to the permanent loss of limb function and long‐term functional impairment, posing a substantial burden on global healthcare systems. However, the global burden, demographic patterns and future trajectory of amputation‐related disability have not been comprehensively quantified.
Xuhui Cuan, Jianguang Zhang, Zhuowen Lu, Fengyang Cui, Chenxi Zhao, Wenzhao Lu, Mengliang Luo, Song Xue, Chao Xie, Lei Jin, Meiling Shi, Jian Zhang, Meisong Zhu, Rongdong Liao, Xuanxuan Huang, Sikuan Zheng, Jianye Tan   +16 more
wiley   +1 more source

Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

Acta Technica Jaurinensis
This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA)
Getachew Engidaw, György Terdik
doaj   +1 more source