Results 41 to 50 of about 3,927,001 (165)
The potential distribution of Bacillus anthracis suitability across Uganda using INLA
To reduce the veterinary, public health, environmental, and economic burden associated with anthrax outbreaks, it is vital to identify the spatial distribution of areas suitable for Bacillus anthracis, the causative agent of the disease.
V. A. Ndolo +18 more
doaj +1 more source
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda +2 more
wiley +1 more source
Modelling and Inference for Bayesian Bivariate Animal Models using Integrated Nested Laplace Approximations [PDF]
In this study we focus on performing inference on bivariate animal models using Integrated Nested Laplace Approximation (INLA). INLA is a methodology for making fast non-sampling based Bayesian inference for hierarchical Gaussian Markov models.
Bøhn, Eirik Dybvik
core +1 more source
Due to the occurrence of more frequent and widespread toxic cyanobacteria events, the ability to predict freshwater cyanobacteria harmful algal blooms (cyanoHAB) is of critical importance for the management of drinking and recreational waters.
Mark H. Myer +3 more
doaj +1 more source
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
ABSTRACT Background Lip and oral cavity cancer (LOCC) represents a significant global health burden, with varying incidence rates across regions and populations. Understanding these trends is crucial for effective resource allocation and the development of targeted public health interventions.
Jing‐Yuan Wang +6 more
wiley +1 more source
An accessible method for implementing hierarchical models with spatio-temporal abundance data.
A common goal in ecology and wildlife management is to determine the causes of variation in population dynamics over long periods of time and across large spatial scales.
Beth E Ross +2 more
doaj +1 more source
Feral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
AJ Bengsen +10 more
wiley +1 more source
We compare three modern Bayesian approaches, Hamiltonian Monte Carlo (HMC), Variational Bayes (VB), and Integrated Nested Laplace Approximation (INLA), for two classic spatial econometric specifications: the spatial lag model and spatial error model. Our
Yuheng Ling, Julie Le Gallo
doaj +1 more source
As extreme climatic events are becoming more frequent, we need to understand what mechanisms could buffer populations to ensure their persistence. Fragmented populations may be especially vulnerable, as exemplified by species with metapopulation dynamics whose persistence is determined by a precarious balance between frequent local extinctions and ...
Natalie E. van Dis +5 more
wiley +1 more source

