Cargando…

Bayesian Spatio-Temporal Prediction and Counterfactual Generation: An Application in Non-Pharmaceutical Interventions in COVID-19

The spatio-temporal course of an epidemic (such as COVID-19) can be significantly affected by non-pharmaceutical interventions (NPIs) such as full or partial lockdowns. Bayesian Susceptible-Infected-Removed (SIR) models can be applied to the spatio-temporal spread of infectious diseases (STIFs) (suc...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lawson, Andrew, Rotejanaprasert, Chawarat
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965276/ https://www.ncbi.nlm.nih.gov/pubmed/36851538 http://dx.doi.org/10.3390/v15020325

Ejemplares similares

Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2021)

A Bayesian Quantile Modeling for Spatiotemporal Relative Risk: An Application to Adverse Risk Detection of Respiratory Diseases in South Carolina, USA
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2018)

Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2023)

Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread
por: Lawson, Andrew B.
Publicado: (2023)

Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2019)

The impact of child health interventions and risk factors on child survival in Kenya, 1993–2014: a Bayesian spatio-temporal analysis with counterfactual scenarios
por: Macharia, Peter M., et al.
Publicado: (2021)

Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2020)

Integrated surveillance: Joint modeling of rodent and human tularemia cases in Finland
por: Rotejanaprasert, Chawarat
Publicado: (2017)

Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2020)

Urban crime prediction based on spatio-temporal Bayesian model
por: Hu, Tao, et al.
Publicado: (2018)

Bayesian spatio-temporal model for tuberculosis in India
por: Srinivasan, R., et al.
Publicado: (2015)

Application of SCM with Bayesian B-Spline to Spatio-Temporal Analysis of Hypertension in China
por: Ye, Zirong, et al.
Publicado: (2018)

A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
por: Niraula, Poshan, et al.
Publicado: (2022)

Spatial and spatio-temporal bayesian models with R - INLA
por: Blangiardo, Marta, et al.
Publicado: (2015)

Bayesian spatio-temporal modeling of malaria risk in Rwanda
por: Semakula, Muhammed, et al.
Publicado: (2020)

Model agnostic generation of counterfactual explanations for molecules
por: Wellawatte, Geemi P., et al.
Publicado: (2022)

Projecting malaria elimination in Thailand using Bayesian hierarchical spatiotemporal models
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2023)

Spatio-temporal variations in neonatal mortality rates in Ghana: An application of hierarchical Bayesian methods
por: Kwami Takramah, Wisdom, et al.
Publicado: (2022)

Surveillance of dengue vectors using spatio-temporal Bayesian modeling
por: C. Costa, Ana Carolina, et al.
Publicado: (2015)

A Bayesian spatio-temporal analysis of mortality rates in Spain: application to the COVID-19 2020 outbreak
por: Saavedra, Pedro, et al.
Publicado: (2021)

Bayesian spatiotemporal analysis of malaria infection along an international border: Hlaingbwe Township in Myanmar and Tha-Song-Yang District in Thailand
por: Thway, Aung Minn, et al.
Publicado: (2018)

Spatio-temporal patterns of childhood pneumonia in Bhutan: a Bayesian analysis
por: Wangdi, Kinley, et al.
Publicado: (2021)

Spatial Environmental Modeling of Autoantibody Outcomes among an African American Population
por: Carroll, Rachel, et al.
Publicado: (2014)

GANterfactual—Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning
por: Mertes, Silvan, et al.
Publicado: (2022)

Counterfactual Desirability
por: Bradley, Richard, et al.
Publicado: (2017)

Bayesian Spatio-Temporal Analysis and Geospatial Risk Factors of Human Monocytic Ehrlichiosis
por: Raghavan, Ram K., et al.
Publicado: (2014)

Bayesian spatio-temporal modeling of mortality in relation to malaria incidence in Western Kenya
por: Khagayi, Sammy, et al.
Publicado: (2017)

Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
por: Vattikonda, Anirudh N., et al.
Publicado: (2021)

Improvements to seismicity forecasting based on a Bayesian spatio-temporal ETAS model
por: Ebrahimian, Hossein, et al.
Publicado: (2022)

Dengue in Myanmar: Spatiotemporal epidemiology, association with climate and short-term prediction
por: Zaw, Win, et al.
Publicado: (2023)

Understanding Counterfactuality: A Review of Experimental Evidence for the Dual Meaning of Counterfactuals
por: Kulakova, Eugenia, et al.
Publicado: (2016)

Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data
por: Vitale, Vincenzina, et al.
Publicado: (2022)

A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19
por: Mullineaux, Jamie D., et al.
Publicado: (2023)

Counter-factual mathematics of counterfactual predictive models
por: Otworowska, Maria, et al.
Publicado: (2014)

COIN: Counterfactual Image Generation for Visual Question Answering Interpretation
por: Boukhers, Zeyd, et al.
Publicado: (2022)

Probabilistic Daily ILI Syndromic Surveillance with a Spatio-Temporal Bayesian Hierarchical Model
por: Chan, Ta-Chien, et al.
Publicado: (2010)

Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review
por: Aswi, A., et al.
Publicado: (2018)

Modelling local patterns of child mortality risk: a Bayesian Spatio-temporal analysis
por: Lome-Hurtado, Alejandro, et al.
Publicado: (2021)

Author Correction: Spatio-temporal patterns of childhood pneumonia in Bhutan: a Bayesian analysis
por: Wangdi, Kinley, et al.
Publicado: (2021)

Estimation of the Covariance Matrix in Hierarchical Bayesian Spatio-Temporal Modeling via Dimension Expansion
por: Sun, Bin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_obt7pk88gglvjn8mlq5ei1l0jc