Results 91 to 100 of about 5,528 (174)

Individual and Environmental Factors Influencing Influenza Transmission: A Multilevel Analysis

Influenza and Other Respiratory Viruses, Volume 20, Issue 2, February 2026.
ABSTRACT Background Influenza transmission is influenced by both individual characteristics and community‐level drivers. Understanding how these drivers jointly influence transmission is important to predicting outbreaks and guiding influenza prevention strategies.
Nushrat Nazia, Eleanor Pullenayegum, Mark Loeb   +2 more
wiley   +1 more source

Linking oceanic variability, euphausiid hotspot persistence, and marine predator distribution along Canada's west coast

Ecological Applications, Volume 36, Issue 1, January 2026.
Abstract Understanding patterns of habitat use across trophic levels and the physical drivers of multispecies aggregations is essential to inform ecosystem‐based management. To achieve this, we quantified the spatial distribution and co‐occurrence of hotspots (defined using the Getis‐Ord statistic) for euphausiids and nine of their commercially ...
Rhian Evans, Stéphane Gauthier, Clifford L. K. Robinson, Philina A. English, Chelsea Stanley, Brianna M. Wright, Linda Nichol   +6 more
wiley   +1 more source

Proximity to seabird colonies and water availability shape moss distributions in Antarctica

Ecography, Volume 2026, Issue 1, January 2026.
Understanding species distributions across Antarctica is crucial for biodiversity conservation under climate change, but continental‐scale analyses of key terrestrial species remain scarce. Here, we modelled distributions of 28 moss species across Antarctica using log‐Gaussian Cox process models and environmental covariates including topographic ...
Gabrielle Koerich, Hao Ran Lai, Charles K. Lee, Fraser J. Morgan, Jonathan D. Tonkin   +4 more
wiley   +1 more source

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5$$ {\mathrm{PM}}_{2.5} $$ in an Urban Setting

Environmetrics, Volume 37, Issue 1, January 2026.
ABSTRACT Airborne particulate matter (PM2.5$$ {\mathrm{PM}}_{2.5} $$) is a major public health concern in urban environments, where population density and emission sources exacerbate exposure risks. We present a novel Bayesian spatiotemporal fusion model to estimate monthly PM2.5$$ {\mathrm{PM}}_{2.5} $$ concentrations over Greater London (2014–2019 ...
Abi I. Riley, Marta Blangiardo, Frédéric B. Piel, Andrew Beddows, Sean Beevers, Gary W. Fuller, Paul Agnew, Monica Pirani   +7 more
wiley   +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

Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos

, 2021
El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica a treves de modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas. Entre los modelos estadísticos más incipientes en aplicaciones de MDS está la regresión bayesiana ajustada con ...
Giannini Kurina, Franca, Suarez, Franco Marcelo, Paccioretti, Pablo Ariel, Macchiavelli, Raul, Balzarini, Monica Graciela   +4 more
openaire   +1 more source

Dynamic spatiotemporal modeling of the infected rate of visceral leishmaniasis in human in an endemic area of Amhara regional state, Ethiopia.

PLoS ONE, 2019
Visceral Leishmaniasis is a very dangerous form of leishmaniasis and, shorn of appropriate diagnosis and handling, it leads to death and physical disability.
Anteneh Asmare Godana, Samuel Musili Mwalili, George Otieno Orwa   +2 more
doaj   +1 more source

Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package

Journal of Statistical Software, 2018
Spatial data relating to non-overlapping areal units are prevalent in fields such as economics, environmental science, epidemiology and social science, and a large suite of modeling tools have been developed for analysing these data.
Duncan Lee, Alastair Rushworth, Gary Napier   +2 more
doaj   +1 more source

J Data Sci [PDF]

Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variation. State level geographic variation for less common causes of mortality outcomes have been reported however county level variation is rarely examined ...

core