Results 51 to 60 of about 3,927,001 (165)
GeoHealth, Volume 10, Issue 10, October 2026.Abstract Young children (birth to age five) are uniquely vulnerable to environmental hazards due to their higher exposure relative to body weight, rapid physiological and neurological development, and strong reliance on caregivers for protection and care.
Siyu Liu +4 more
wiley +1 more source
Interpolating climate variables by using INLA and the SPDE approach [PDF]
, 2023 Gridded observational products of the main climate parameters are essential in climate science. Current interpolation approaches, implemented to derive such products, often lack of a proper uncertainty propagation and representation.
Cameletti, Michela
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Alzheimer's &Dementia, Volume 22, Issue 9, September 2026.Abstract INTRODUCTION We estimated the associations between baseline social engagement and cognitive function and change among older adults in India, overall and by education. METHODS Data were from 3869 adults aged ≥ 60 years from the Longitudinal Aging Study in India—Diagnostic Assessment of Dementia Wave 1 (2017–2019) and Wave 2 (2022–2024 ...
Peiyao Zhu +5 more
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Cadernos de Saúde Pública, 2013 This study aimed to analyze the spatial distribution of dengue risk and its association with socio-environmental conditions. This was an ecological study of the counts of autochthonous dengue cases in the municipality of Campinas, São Paulo State, Brazil,
José Vilton Costa +2 more
doaj +1 more source
Environmetrics, 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
Markov chain Monte Carlo with the Integrated Nested Laplace Approximation
, 2018 The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented as a latent Gaussian model (LGM).
Gómez-Rubio, Virgilio, Rue, Haavard
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Crime Science, 2022 Near-repeat victimization patterns have made predictive models for burglaries possible. While the models have been implemented in different countries, the results obtained have not always been in line with initial expectations; to the point where their ...
Pere Boqué, Marc Saez, Laura Serra
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Health 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
Modeling Multivariate Positive-Valued Time Series Using R-INLA [PDF]
, 2022 In this paper we describe fast Bayesian statistical analysis of vector positive-valued time series, with application to interesting financial data streams.
Dutta, Chiranjit +2 more
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Med Research, Volume 2, Issue 3, Page 565-570, September 2026.ABSTRACT The Global Burden of Disease (GBD) database provides essential primary data for public health research. However, its complexity and diversity pose challenges for conducting advanced secondary analyses. To address these challenges, we developed easyGBDR, an innovative integrated R toolkit designed to facilitate the secondary analysis of GBD ...
Yingying Fang +9 more
wiley +1 more source