Performance of early warning signals for disease re-emergence: A case study on COVID-19 data.

Proverbio, Daniele; Kemp, Françoise; Magni, Stefano; Gonçalves, Jorge

Proverbio, Daniele; Kemp, Françoise; Magni, Stefano; Gonçalves, Jorge.

Afiliação

Proverbio D; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Kemp F; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.
Magni S; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Gonçalves J; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.

PLoS Comput Biol ; 18(3): e1009958, 2022 03.

Article em En | MEDLINE | ID: mdl-35353809

Assuntos

COVID-19; Epidemias; COVID-19/diagnóstico; COVID-19/epidemiologia; Humanos; Medição de Risco

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Luxemburgo

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google