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Real-time forecasting of epidemic trajectories using computational dynamic ensembles.
Chowell, G; Luo, R; Sun, K; Roosa, K; Tariq, A; Viboud, C.
Affiliation
  • Chowell G; Department of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA. Electronic address: gchowell@gsu.edu.
  • Luo R; Department of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
  • Sun K; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
  • Roosa K; Department of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
  • Tariq A; Department of Population Heath Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
  • Viboud C; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Epidemics ; 30: 100379, 2019 Dec 21.
Article in En | MEDLINE | ID: mdl-31887571
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Qualitative_research Language: En Journal: Epidemics Year: 2019 Document type: Article Country of publication: Netherlands
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Qualitative_research Language: En Journal: Epidemics Year: 2019 Document type: Article Country of publication: Netherlands