Results 41 to 50 of about 1,710 (136)

The potential distribution of Bacillus anthracis suitability across Uganda using INLA

Scientific Reports, 2022
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, D. Redding, M. A. Deka, J. S. Salzer, A. R. Vieira, H. Onyuth, M. Ocaido, R. Tweyongyere, R. Azuba, F. Monje, A. R. Ario, S. Kabwama, E. Kisaakye, L. Bulage, B. Kwesiga, V. Ntono, J. Harris, J. L. N. Wood, A. J. K. Conlan   +18 more
doaj   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

Spatio-Temporal Modeling for Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida

Frontiers in Environmental Science, 2020
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, Erin Urquhart, Blake A. Schaeffer, John M. Johnston   +3 more
doaj   +1 more source

Key agroecosystems for the conservation of amphibians and reptiles in Europe

Conservation Biology, EarlyView.
Abstract Agricultural expansion and intensification are driving amphibian and reptile declines worldwide. However, sustainably managed agroecosystems can support a high diversity of herpetofauna, which play a key role in pest control, reducing crop damage.
Andrea Dalpasso, Stefano Canessa, Mattia Falaschi, Alejandra Moràn‐Ordoñez, Gentile Francesco Ficetola   +4 more
wiley   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
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, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Dynamic Changes and Future Trend Forecasts in the Global Burden of Guillain–Barré Syndrome: Analysis of 204 Countries and Regions From 1990 to 2021, Including the Impact of the COVID‐19 Pandemic

Immunity, Inflammation and Disease, Volume 14, Issue 6, June 2026.
ABSTRACT Background Guillain–Barré syndrome (GBS) is an immune‐mediated neuropathy that may be influenced by infectious, demographic, and healthcare‐related factors. Although increasing attention has been paid to neurological complications during the COVID‐19 pandemic, the global burden, inequalities, and future trends of GBS remain insufficiently ...
Qingyu Song, Mengmeng Wang, Zheng Shen, Zhaoyi Jing, Yibin Fan, Xiaojin Zhang, Li Huang, Wen Li, Yin Shi, Dianhui Yang   +9 more
wiley   +1 more source

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

International 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, Ro'fah Nur Rachmawati, Muhamad Syazali   +2 more
doaj   +1 more source

An accessible method for implementing hierarchical models with spatio-temporal abundance data.

PLoS ONE, 2012
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, Mevin B Hooten, David N Koons   +2 more
doaj   +1 more source

A Spatially Explicit Distribution Model to Support Conservation Strategies for Isolated Small‐Ranged Species: A Case Study From Galápagos

Diversity and Distributions, Volume 32, Issue 6, June 2026.
ABSTRACT Aim This study aimed to test the effectiveness of a hierarchical, spatially explicit, Bayesian modelling framework combining Integrated Nested Laplace Approximation (INLA) with Stochastic Partial Differential Equation (SPDE) as an alternative to traditional Species Distribution Models (SDMs), particularly in cases where standard assumptions ...
Marco Gargano, Silvio Marta, Lorenzo Garizio, Paolo Gratton, Giuliano Colosimo, Glenn P. Gerber, Gregory A. Lewbart, Christian Sevilla, Gabriele Gentile   +8 more
wiley   +1 more source

Choosing Right Bayesian Tools: A Comparative Study of Modern Bayesian Methods in Spatial Econometric Models

Econometrics
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