Results 81 to 90 of about 15,041,214 (186)

A Bayesian Hierarchical Spatiotemporal Model With Physical Barriers for Extreme Sea‐Level Prediction in Ireland

open access: yesEnvironmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT Rising seas raise the vulnerability of coastal regions through higher extreme sea levels. This paper estimates extreme sea levels at gauged and ungauged coastal locations around Ireland and the West Coast of Great Britain, using a Bayesian hierarchical extreme‐value model with spatiotemporal random effects. The annual maxima of tidal residuals
Fernando Mayer   +2 more
wiley   +1 more source

JSTMapp: A web-based joint spatiotemporal modelling and mapping application for epidemiologists.

open access: yesPLoS ONE
Disease mapping models help create disease risk maps, which public health policymakers can use to design disease control and monitoring programmes.
Alfred Ngwira   +3 more
doaj   +1 more source

Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones

open access: yesEnvironmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The occurrence of extreme events like heavy precipitation or storms at a certain location often shows a clustering behavior and is thus not described well by a Poisson process. We construct a general model for the inter‐exceedance times (IETs) in between extreme events which combines different candidate models for such behavior. One of them is
Christina Mathieu   +3 more
wiley   +1 more source

The Global Burden and Temporal Trends of Psoriasis, 1990–2021: Implications From the COVID‐19 Pandemic

open access: yesHealth Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Psoriasis can lead to the occurrence of various chronic diseases. However, the detailed reports of psoriasis before and after COVID‐19 are limited. The present study aimed to investigate the global prevalence, incidence, and death and disability adjusted life years (DALYs) of psoriasis with age and sex differences from 1990
Yunda Guo   +6 more
wiley   +1 more source

Global, Regional, and National Burden of Self‐Harm and Projections to 2030: A Systematic Analysis for the Global Burden of Disease Study 2021

open access: yesHealth Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Self‐harm is a global public health problem, yet comprehensive analyses of its trends and the impact of sociodemographic factors remain insufficient. This study aimed to systematically examine the spatial and temporal trends of self‐harm burden from 1990 to 2021 and forecast trends through 2030.
Jiaying Li   +7 more
wiley   +1 more source

A new perspective on Listeria monocytogenes evolution.

open access: yesPLoS Pathogens, 2008
Listeria monocytogenes is a model organism for cellular microbiology and host-pathogen interaction studies and an important food-borne pathogen widespread in the environment, thus representing an attractive model to study the evolution of virulence.
Marie Ragon   +6 more
doaj   +1 more source

Functional Brain Response to Emotional Muical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference

open access: yesBasic and Clinical Neuroscience, 2021
Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely.
Parisa Naseri   +5 more
doaj  

Bayesian Computing with INLA: A Review [PDF]

open access: yes, 2016
The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre-Simon Laplace (1774).
Simpson, Daniel P.   +11 more
core   +1 more source

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

open access: yesPLoS 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   +2 more
doaj   +1 more source

Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping.

open access: yes, 2015
The recently developed R package INLA (Integrated Nested Laplace Approximation) is becoming a more widely used package for Bayesian inference. The INLA software has been promoted as a fast alternative to MCMC for disease mapping applications.
WATJOU, Kevin   +5 more
core   +1 more source

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