Early detection of change patterns in COVID-19 incidence and the implementation of public health policies: A multi-national study.

Coughlin, Steven S; YiÇ§iter, Ayten; Xu, Hongyan; Berman, Adam E; Chen, Jie

Coughlin, Steven S; YiÇ§iter, Ayten; Xu, Hongyan; Berman, Adam E; Chen, Jie.

Afiliação

Coughlin SS; Division of Epidemiology, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, USA.
YiÇ§iter A; Department of Statistics, Faculty of Science, Hacettepe University, Beytepe, Ankara, Turkey.
Xu H; Division of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Berman AE; Division of Health Economics and Modeling, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Chen J; Division of Cardiology, Departments of Medicine and Pediatrics, Medical College of Georgia, Augusta University, Augusta, GA, USA.

Public Health Pract (Oxf) ; 2: 100064, 2021 Nov.

Article em En | MEDLINE | ID: mdl-33969330

Palavras-chave

B-spline trend fitting and prediction; COVID-19; Change point models; Confidence intervals; Health policy; Incidences

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Public Health Pract (Oxf) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google