Analyzing an Emerging Pandemic on Twitter: Monkeypox.

Cooper, Lauren N; Radunsky, Alexander P; Hanna, John J; Most, Zachary M; Perl, Trish M; Lehmann, Christoph U; Medford, Richard J

Cooper, Lauren N; Radunsky, Alexander P; Hanna, John J; Most, Zachary M; Perl, Trish M; Lehmann, Christoph U; Medford, Richard J.

Afiliação

Cooper LN; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Radunsky AP; Department of Internal Medicine, Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Hanna JJ; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Most ZM; Department of Internal Medicine, Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Perl TM; Department of Pediatrics, Division of Pediatric Infectious Disease, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Lehmann CU; Department of Internal Medicine, Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Medford RJ; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Open Forum Infect Dis ; 10(4): ofad142, 2023 Apr.

Article em En | MEDLINE | ID: mdl-37035497

Palavras-chave

Twitter; monkeypox; pandemic; social media; topic modeling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Open Forum Infect Dis Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

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