Results 1 to 10 of about 1,710 (136)

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

Aerosol components associated with hospital mortality in systemic sclerosis: an analysis from a nationwide Thailand healthcare database

Scientific Reports, 2021
Occupational and environmental associations with systemic sclerosis (SSc) have been confirmed; however, the association between aerosol components and mortality is uncertain.
Chingching Foocharoen, Udomlack Peansukwech, Patnarin Pongkulkiat, Ajanee Mahakkanukrauh, Siraphop Suwannaroj   +4 more
doaj   +1 more source

Global Inequality and Future Burden of Autism Spectrum Disorders: A Frontier and Projection Analysis Based on GBD 2021

Brain and Behavior, Volume 16, Issue 4, April 2026.
Using Global Burden of Disease (GBD) 2021 data (1990–2021), we quantified autism spectrum disorder (ASD) prevalence, incidence, and disability‐adjusted life years (DALYs) by age, sex, region, and SDI; assessed temporal trends (EAPC); and projected future burden (BAPC).
Jiayu Liu, Aoxi Xu, Zhifeng Zhao, Tao Li, Yuanyuan Dang, Meijing Liu, Yuxin Wang, Hulin Zhao, Yaohua Dai, Jianning Zhang   +9 more
wiley   +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

XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Wildfires pose a major threat to Portugal, with over 115,000 hectares burned annually on average during 1980–2024, and the country has faced devastating mega‐fires such as those in 2017. Accurate forecasts of wildfire occurrence and burned area are therefore essential for firefighting resource allocation and emergency preparedness.
Chenglei Hu, Regina Baltazar Bispo, Håvard Rue, Carlos C. DaCamara, Ben Swallow, Daniela Castro‐Camilo   +5 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

Modeling Benthic Animals in Space and Time Using Bayesian Point Process With Cross Validation: The Case of Holoturians

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Holothurian populations in the Mediterranean are relatively understudied, with limited knowledge of their spatial distribution, habitat preferences, and ecological dynamics, making their monitoring a key challenge for ecosystem assessment and sustainable management.
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio, Giovanna Jona Lasinio, Edoardo Casoli, Stefano Moro, Daniele Ventura   +6 more
wiley   +1 more source

Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT In this paper, we propose a Bayesian approach for spatial causal inference based on combining spatial propensity scoring with Integrated Nested Laplace Approximation. The method models both local and spillover exposure effects via multiple likelihoods and treats counterfactuals as missing data, allowing inference also for non‐Gaussian outcomes.
Chiara Di Maria, Alessandro Albano, Mariangela Sciandra, Antonella Plaia   +3 more
wiley   +1 more source

Mapping spatial drivers of rice productivity: A case study of Inpari 36 and 37 in West Java with BYM2-INLA

Journal of Geospatial Science and Analytics
West Java is one of Indonesia’s largest rice-producing provinces. However, rice production has declined by 23.07% since 2018 due to land conversion. Therefore, this study investigates the factors influencing rice productivity by modeling and mapping the ...
I Putu Aditya Brama Putra Cakra Negara, Abdul Fakhar Ramadhani, Ahmad Abdurrazzaq   +2 more
doaj   +1 more source

Global Burden of Alcoholic Cardiomyopathy in Adults Aged 60 and Older From 1990 to 2021: A Secondary Analysis of Global Burden of Disease 2021 Data

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background Alcoholic cardiomyopathy (ACM) poses a significant global health challenge, yet its impact on elderly populations across regions remains underexplored. Methods Using Global Burden of Disease (GBD) 2021 data sourced from the official visualization platform, we analyzed ACM burden among individuals aged ≥ 60 years across 204 countries
Siyi Xu, Xuqing Ying, Qian Hong, Tingru Miao, Weixun Cai, Yixin Chen, Xin Chen, Liuqin Hu   +7 more
wiley   +1 more source