Results 71 to 80 of about 20,537 (194)

XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Wildfires pose a major threat to Portugal, with over 115,000 hectares burned annually on average during 1980–2024, and the country has faced devastating mega‐fires such as those in 2017. Accurate forecasts of wildfire occurrence and burned area are therefore essential for firefighting resource allocation and emergency preparedness.
Chenglei Hu, Regina Baltazar Bispo, Håvard Rue, Carlos C. DaCamara, Ben Swallow, Daniela Castro‐Camilo   +5 more
wiley   +1 more source

Biofilm-isolated Listeria monocytogenes exhibits reduced systemic dissemination at the early (12–24 h) stage of infection in a mouse model

npj Biofilms and Microbiomes, 2021
Environmental cues promote microbial biofilm formation and physiological and genetic heterogeneity. In food production facilities, biofilms produced by pathogens are a major source for food contamination; however, the pathogenesis of biofilm-isolated ...
Xingjian Bai, Dongqi Liu, Luping Xu, Shivendra Tenguria, Rishi Drolia, Nicholas L. F. Gallina, Abigail D. Cox, Ok-Kyung Koo, Arun K. Bhunia   +8 more
doaj   +1 more source

Interpretable statistics for complex modelling: quantile and topological learning [PDF]

, 2019
As the complexity of our data increased exponentially in the last decades, so has our need for interpretable features. This thesis revolves around two paradigms to approach this quest for insights.
Padellini, Tullia
core  

Modeling Benthic Animals in Space and Time Using Bayesian Point Process With Cross Validation: The Case of Holoturians

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Holothurian populations in the Mediterranean are relatively understudied, with limited knowledge of their spatial distribution, habitat preferences, and ecological dynamics, making their monitoring a key challenge for ecosystem assessment and sustainable management.
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio, Giovanna Jona Lasinio, Edoardo Casoli, Stefano Moro, Daniele Ventura   +6 more
wiley   +1 more source

Bayesian joint spatio-temporal analysis of multiple diseases [PDF]

, 2019
In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects.
Fernández-Navarro, Pablo, Gómez-Rubio, Virgilio, López-Abente, Gonzalo, Palmí-Perales, Francisco, Ramis-Prieto, Rebeca   +4 more
core  

Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT In this paper, we propose a Bayesian approach for spatial causal inference based on combining spatial propensity scoring with Integrated Nested Laplace Approximation. The method models both local and spillover exposure effects via multiple likelihoods and treats counterfactuals as missing data, allowing inference also for non‐Gaussian outcomes.
Chiara Di Maria, Alessandro Albano, Mariangela Sciandra, Antonella Plaia   +3 more
wiley   +1 more source

Global Burden of Alcoholic Cardiomyopathy in Adults Aged 60 and Older From 1990 to 2021: A Secondary Analysis of Global Burden of Disease 2021 Data

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background Alcoholic cardiomyopathy (ACM) poses a significant global health challenge, yet its impact on elderly populations across regions remains underexplored. Methods Using Global Burden of Disease (GBD) 2021 data sourced from the official visualization platform, we analyzed ACM burden among individuals aged ≥ 60 years across 204 countries
Siyi Xu, Xuqing Ying, Qian Hong, Tingru Miao, Weixun Cai, Yixin Chen, Xin Chen, Liuqin Hu   +7 more
wiley   +1 more source

Modelación espacio-temporal de la incidencia acumulada de COVID-19 en municipios de Chiapas

ESPACIO I+D: Innovación más Desarrollo, 2020
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

Whole‐Genome Sequence Profiling of Listeria innocua From Different Sources: Implications for Public Health

MicrobiologyOpen, Volume 15, Issue 2, April 2026.
The studied strains, LIN_NWU_CNKT and LIN5_NWU_CNKT, exhibit invasiveness, pathogenicity, and MDR profiles. The isolation of these strains from food products and water underscores their significant public health implications, particularly in the context of the “One Health” concept.
Christ‐Donald Kaptchouang Tchatchouang, Daniel Jesuwenu Ajose, Giulia Amagliani, Collins Njie Ateba   +3 more
wiley   +1 more source

Should you use data integration for your distribution model?

Journal of Animal Ecology, Volume 95, Issue 4, Page 591-604, April 2026.
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein, Jeffrey W. Doser, Brent S. Pease, Krishna Pacifici   +3 more
wiley   +1 more source