Results 81 to 90 of about 20,362 (180)
A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$ [PDF]
Spatial and spatio-temporal disease mapping models are widely used for the analysis of registry data and usually formulated in a hierarchical Bayesian framework. Explanatory variables can be included by a so-called ecological regression.
Held, Leonhard, Schrödle, Birgit
core
Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley +1 more source
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley +1 more source
Poverty is a complex and multidimensional problem so that it becomes a development priority. Applications of poverty modeling in discrete data are still few and applications of the Bayesian paradigm are also still few.
Retsi Firda Maulina +2 more
doaj +1 more source
Modelación espacio-temporal de la incidencia acumulada de COVID-19 en municipios de Chiapas
El trabajo tiene como finalidad analizar la evolución de la tasa de incidencia acumulada de COVID-19 en los municipios de Chiapas, entre los meses de Febrero a Julio del año 2020, a partir de la aplicación de tres modelos bayesianos jerárquicos espacio ...
Gerardo Núñez Medina
doaj +1 more source
ABSTRACT Background and Aims Postpartum hemorrhage (PPH) is a leading global cause of maternal mortality and morbidity. This study utilizes global burden of disease (GBD) data to assess its long‐term trends in incidence, mortality, and disability‐adjusted life years (DALYs).
Jidong Huang, Xiujing Lu, Yachang Zeng
wiley +1 more source
Background The use of food-grade Lactic Acid Bacteria (LAB) as DNA delivery vehicles represents an attractive strategy to deliver DNA vaccines at the mucosal surfaces as they are generally regarded as safe (GRAS).
de Azevedo Marcela +7 more
doaj +1 more source
Long‐term (1976–2015) field sign monitoring of brown bears in northern Hokkaido, Japan, yielded 2421 records (feeding signs, tracks, scats) along 9890 km of survey routes. The digitized spatiotemporal dataset provides insights into population dynamics, habitat use, and feeding behavior across a major wildlife management policy shift.
Hino Takafumi +9 more
wiley +1 more source
The cellular junctional architecture remodeling by Listeria adhesion protein-heat shock protein 60 (LAP-Hsp60) interaction for Listeria monocytogenes (Lm) passage through the epithelial barrier is incompletely understood.
Rishi Drolia +13 more
doaj +1 more source
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
doaj +1 more source

