Results 71 to 80 of about 3,995 (142)

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

Spatial pattern and determinants of sufficient knowledge of mother to child transmission of HIV and its prevention among Nigerian women.

PLoS ONE, 2021
The lack of sufficient knowledge of mother to child transmission (MTCT) of human immunodeficiency virus (HIV) among pregnant women is considered a major contributor to new pediatric HIV infections globally, and increasing HIV related infant mortality ...
Paul Omoh Olopha, Akin Olusoga Fasoranbaku, Ezra Gayawan   +2 more
doaj   +1 more source

A New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain) [PDF]

, 2016
When the scientific need to model geochemical elements in soil, is using geostatistical methodologies, for instance krigings, but we can use a new possibility with Bayesian Inference.
Díaz Ávalos, Carlos, Juan, Pablo, Meseguer Costa, Sergio, Vicente, Ana Belen   +3 more
core   +1 more source

Quantifying urban tree canopy cooling capacity using Bayesian hierarchical models and satellite imagery

PLANTS, PEOPLE, PLANET, Volume 8, Issue 1, Page 338-352, January 2026.
Cities are getting hotter because of climate change and urban development, increasing risks to health and well‐being. We analyzed how increasing urban tree canopy cover in city areas of 900 m2 can reduce land surface temperatures, using detailed aerial‐LiDAR and satellite data with Bayesian hierarchical models.
Ángel Ruiz‐Valero, Jaime Francisco Pereña‐Ortiz, Isidro Martín‐Lozano, Álvaro Cortés‐Molino, Pablo Cozano‐Pérez, Begoña Galindo‐Ruiz, Luis Alberto Díaz‐Galiano, Ángel Enrique Salvo‐Tierra   +7 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

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

Spatiotemporal Approaches to Assess the Association of Environmental Risk Factors With Cardiovascular Diseases: A Scoping Review

GeoHealth, Volume 10, Issue 1, January 2026.
Abstract Cardiovascular diseases (CVDs) remain a leading cause of mortality globally, with environmental risk factors playing a significant role in their prevalence. This review aims to critically evaluate the current methodologies employed in spatiotemporal analyses of CVDs and provides recommendations to enhance the accuracy and practical application
Vishal Singh, Susanna Cramb, Jialu Wang, Wenbiao Hu, Javier Cortes‐Ramirez   +4 more
wiley   +1 more source

Modelling tools to predict potential distribution of forest species : using Pico Island and the Azores as study case [PDF]

, 2018
Tese de Doutoramento, Biologia, 16 de novembro de 2018, Universidade dos Açores.Os modelos de distribuição de espécies (SDMs) têm sido aplicados em diferentes áreas da ecologia, nomeadamente para modelar a distribuição potencial de espécies invasoras ...
Silva, Lara Sofia Pereira Dutra da
core  

An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics

, 2014
Phylodynamics focuses on the problem of reconstructing past population size dynamics from current genetic samples taken from the population of interest.
Karcher, Michael, Lan, Shiwei, Minin, Vladimir N., Palacios, Julia A., Shahbaba, Babak   +4 more
core   +2 more sources

Global, Regional, and National Prevalence for Type 2 Diabetes Among Women of Childbearing Age, 1992–2021: An Age–Period–Cohort Analysis Based on the Global Burden of Disease Study 2021

Journal of Diabetes Research, Volume 2026, Issue 1, 2026.
In 2021, global T2DM prevalence among WCBAs reached 73.86 million (95% UI: 63.43–85.32 million), with China, India, and the United States leading. Greenland exhibited the largest rise in age‐standardized prevalence (7.93%), with an annual increase of 11.32% (95% UI: 8.33%–14.39%).
Zhongyan Xu, Mengting Liu, Miaoran Chen, Xinying Shen, Xinying Hao, Quan Yun, Yunzhou Zheng, Yan Cui, Jun Qiao, Fukun Wang, Andrea Scaramuzza   +10 more
wiley   +1 more source