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

Lawson, Andrew; Rotejanaprasert, Chawarat

Lawson, Andrew; Rotejanaprasert, Chawarat.

Lawson A; Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC 29466, USA.
Rotejanaprasert C; Usher Institute, School of Medicine, University of Edinburgh, Edinburgh EH16 4TJ, UK.

Viruses ; 15(2)2023 01 24.

Article en En | MEDLINE | ID: mdl-36851538

Asunto(s)

COVID-19; Epidemias; Humanos; COVID-19/epidemiología; COVID-19/prevención & control; Teorema de Bayes; Control de Enfermedades Transmisibles

Palabras clave

Bayesian; NPIs; causal; counterfactual; non-pharmaceutical interventions; nowcasting; prediction; spatio-temporal

Texto completo

Imprimir

XML

PubMed Links

Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Search on Google