Results 31 to 40 of about 7,584 (197)

Laplace approximation for conditional autoregressive models for spatial data of diseases

open access: yesMethodsX, 2022
Conditional autoregressive (CAR) distributions are used to account for spatial autocorrelation in small areal or lattice data to assess the spatial risks of diseases.
Guiming Wang
doaj   +1 more source

Bayesian Multivariate Spatial Models for Lattice Data with INLA

open access: yesJournal of Statistical Software, 2021
The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference. The multivariate spatial models implemented include different struc-tures to model the spatial variation of the variables and the between-variables variability.
Palmí-Perales, Francisco   +2 more
openaire   +4 more sources

Molecular detection of Listeria monocytogenes from aborted women [PDF]

open access: yesJournal of Bioscience and Applied Research
Abortion, an involuntary and spontaneous termination of pregnancy, can be influenced by various factors, including potentially unknown ones. Bacterial infections play a significant role in some cases.
Rahma majid Kamel   +4 more
doaj   +1 more source

Spatially Dependent Bayesian Modeling of Geostatistics Data and Its Application for Tuberculosis (TB) in China

open access: yesMathematics, 2023
Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia   +4 more
doaj   +1 more source

Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R

open access: yesJournal of Statistical Software, 2020
Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife surveys.
Timothy D. Meehan   +2 more
doaj   +1 more source

Climate impact on blue economy index: Bayesian spatio-temporal regression with statistical downscaling in Sumatera

open access: yesJournal of Geospatial Science and Analytics
Climate change studies inherently involve spatial, temporal, and regional dimensions, while the blue economy’s sustainability is significantly influenced by global climate factors.
Athalia Christina   +2 more
doaj   +1 more source

OF MICE AND MEN: DISSECTING THE INTERACTION BETWEEN LISTERIA MONOCYTOGENES INTERNALIN A AND E-CADHERIN

open access: yesComputational and Structural Biotechnology Journal, 2013
We report a study of the interaction between internalin A (inlA) and human or murine E-cadherin (Ecad). inlA is used by Listeria monocytogenes to internalize itself into host cell, but the bacterium is unable to invade murine cells, which has been ...
Samuel Genheden, Leif A Eriksson
doaj   +1 more source

Modeling suspected malaria cases in Papua province with second order Besag-York-Mollie 2 spatial regression

open access: yesInternational Journal of Applied Mathematics, Sciences, and Technology for National Defense
The number of malaria cases in Indonesia has increased in recent years. The highest malaria cases in Indonesia are in the eastern region, namely Papua Province, where in 2021 there were 86,022 cases.
Kirana Azzahra   +2 more
doaj   +1 more source

InlA promotes dissemination of Listeria monocytogenes to the mesenteric lymph nodes during food borne infection of mice.

open access: yesPLoS Pathogens, 2012
Intestinal Listeria monocytogenes infection is not efficient in mice and this has been attributed to a low affinity interaction between the bacterial surface protein InlA and E-cadherin on murine intestinal epithelial cells. Previous studies using either
Elsa N Bou Ghanem   +5 more
doaj   +1 more source

Bayesian survival analysis with INLA

open access: yesStatistics in Medicine
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R‐packages. Such models include accelerated failure time, proportional hazards, mixture cure, competing risks, multi‐state, frailty, and joint models of ...
Danilo Alvares   +4 more
openaire   +5 more sources

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