Cargando…

Adaptive Time-Dependent Priors and Bayesian Inference to Evaluate SARS-CoV-2 Public Health Measures Validated on 31 Countries

With the rapid spread of the SARS-CoV-2 virus since the end of 2019, public health confinement measures to contain the propagation of the pandemic have been implemented. Our method to estimate the reproduction number using Bayesian inference with time-dependent priors enhances previous approaches by...

Descripción completa

Detalles Bibliográficos
Autores principales:	Turbé, Hugues, Bjelogrlic, Mina, Robert, Arnaud, Gaudet-Blavignac, Christophe, Goldman, Jean-Philippe, Lovis, Christian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862946/ https://www.ncbi.nlm.nih.gov/pubmed/33553088 http://dx.doi.org/10.3389/fpubh.2020.583401

Ejemplares similares

Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review
por: Gaudet-Blavignac, Christophe, et al.
Publicado: (2021)

Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study
por: Gaudet-Blavignac, Christophe, et al.
Publicado: (2021)

Addendum: Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study
por: Gaudet-Blavignac, Christophe, et al.
Publicado: (2022)

Use and Understanding of Anonymization and De-Identification in the Biomedical Literature: Scoping Review
por: Chevrier, Raphaël, et al.
Publicado: (2019)

Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations
por: Foufi, Vasiliki, et al.
Publicado: (2019)

A National, Semantic-Driven, Three-Pillar Strategy to Enable Health Data Secondary Usage Interoperability for Research Within the Swiss Personalized Health Network: Methodological Study
por: Gaudet-Blavignac, Christophe, et al.
Publicado: (2021)

Heuristics as Bayesian inference under extreme priors
por: Parpart, Paula, et al.
Publicado: (2018)

Bayesian Inference on Predictors of Sex of the Baby
por: Scarpa, Bruno
Publicado: (2016)

Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors
por: Martel-Escobar, María, et al.
Publicado: (2018)

Inference of epigenetic subnetworks by Bayesian regression with the incorporation of prior information
por: Jing, Anqi, et al.
Publicado: (2022)

Expert agreement in prior elicitation and its effects on Bayesian inference
por: Stefan, Angelika M., et al.
Publicado: (2022)

Bayesian Inference from Count Data Using Discrete Uniform Priors
por: Comoglio, Federico, et al.
Publicado: (2013)

Calibrated Birth–Death Phylogenetic Time-Tree Priors for Bayesian Inference
por: Heled, Joseph, et al.
Publicado: (2015)

Objective Bayesian Inference in Probit Models with Intrinsic Priors Using Variational Approximations
por: Li, Ang, et al.
Publicado: (2020)

Bayesian inference of transition matrices from incomplete graph data with a topological prior
por: Perri, Vincenzo, et al.
Publicado: (2023)

Bayesian inference of population prevalence
por: Ince, Robin AA, et al.
Publicado: (2021)

Bayesian inference
por: Cardenas, Rosario O
Publicado: (2018)

Bayesian inference for dynamical systems
por: Roda, Weston C.
Publicado: (2020)

Bayesian inference of spatial and temporal relations in AI patents for EU countries
por: Rusek, Krzysztof, et al.
Publicado: (2023)

Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior
por: Dumitru, Mircea, et al.
Publicado: (2016)

Abdominal pain patterns during COVID-19: an observational study
por: Balaphas, Alexandre, et al.
Publicado: (2022)

Association Between Prehospital Blood Glucose Levels and Outcomes in Patients With COVID-19 Infection: A Retrospective Cohort Study
por: Fehlmann, Christophe A., et al.
Publicado: (2023)

Adaptive Tree Proposals for Bayesian Phylogenetic Inference
por: Meyer, X
Publicado: (2021)

Approximate Bayesian Inference
por: Alquier, Pierre
Publicado: (2020)

Comparison of prognostic scores for inpatients with COVID-19: a retrospective monocentric cohort study
por: Martin, Jeremy, et al.
Publicado: (2022)

Are Narrow Focus Exhaustivity Inferences Bayesian Inferences?
por: Schreiber, Alexander, et al.
Publicado: (2021)

Public Service and Public Happiness: Inferences From Big Weibo Datasets for 31 Chinese Provincial Governments
por: Ding, Yi Zhou
Publicado: (2022)

Coming Together of Bayesian Inference and Skew Spherical Data
por: Nakhaei Rad, Najmeh, et al.
Publicado: (2022)

Weyl Prior and Bayesian Statistics
por: Jiang, Ruichao, et al.
Publicado: (2020)

Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion
por: Shekaramiz, Mohammad, et al.
Publicado: (2023)

Bayesian methods for hackers: probabilistic programming and Bayesian inference
por: Davidson-Pilon, Cameron
Publicado: (2016)

Bayesian inference for stochastic processes
por: Broemeling, Lyle D
Publicado: (2017)

An introduction to Bayesian inference and decision /
por: Winkler, Robert L.
Publicado: (1972)

Bayesian inference with geodetic applications /
por: Koch, Karl-Rudolf
Publicado: (1990)

Bayesian inference in statistical analysis
por: Box, George E. P.
Publicado: (1973)

An introduction to Bayesian inference in econometrics
por: Zellner, Arnold
Publicado: (1971)

Bayesian Inference in Statistical Analysis
por: Box, George E P, et al.
Publicado: (2011)

Nonparametric Bayesian inference in biostatistics
por: Mitra, Riten, et al.
Publicado: (2015)

Patterns of scalable Bayesian inference
por: Angelino, Elaine, et al.
Publicado: (2016)

Network Plasticity as Bayesian Inference
por: Kappel, David, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_o4pvkkurkgq63i4nalhl9kkbo9