Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the US.

Zhang, Xuan; Mu, Lan; Zhang, Donglan; Mao, Yuping; Shi, Lu; Rajbhandari-Thapa, Janani; Chen, Zhuo; Li, Yan; Pagán, José A

Zhang, Xuan; Mu, Lan; Zhang, Donglan; Mao, Yuping; Shi, Lu; Rajbhandari-Thapa, Janani; Chen, Zhuo; Li, Yan; Pagán, José A.

Afiliação

Zhang X; Department of Geography, University of Georgia, Athens, GA, USA.
Mu L; Department of Geography, University of Georgia, Athens, GA, USA.
Zhang D; Division of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, Mineola, NY, USA.
Mao Y; Department of Communication Studies, California State University Long Beach, Long Beach, CA, USA.
Shi L; Department of Public Health Sciences, Clemson University, Clemson, SC, USA.
Rajbhandari-Thapa J; Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA.
Chen Z; Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA.
Li Y; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pagán JA; Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA.

Ann GIS ; 28(4): 491-500, 2022.

Article em En | MEDLINE | ID: mdl-36911595

Palavras-chave

Coronavirus disease 2019 (COVID-19); Twitter; cardiovascular disease (CVD); geotag proxy; spatial and temporal analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann GIS Ano de publicação: 2022 Tipo de documento: Article

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