Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data

Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data

When responding to infectious disease outbreaks, rapid and accurate estimation of the epidemic trajectory is critical. However, two common data collection problems affect the reliability of the epidemiological data in real time: missing information on the time of first symptoms, and retrospective re...

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Main Authors: Amillategui, R. (Author), Astray-Mochales, J. (Author), Chirlaque, M.D (Author), De Salazar, P.M (Author), Fernández-Navarro, P. (Author), García-Fulgueiras, A. (Author), Gómez-Barroso, D. (Author), Hay, J.A (Author), Hernán, M.A (Author), Larrauri, A. (Author), Lipsitch, M. (Author), Lu, F. (Author), Martínez, E.V (Author), SánchezMigallón, A. (Author), Santillana, M. (Author), Sierra, M.J (Author), Simón, F. (Author)
Format: Article
Language:English
Published: Public Library of Science 2022
Subjects:
COVID-19
epidemic
Epidemics
epidemiology
human
Humans
reproducibility
Reproducibility of Results
Retrospective Studies
retrospective study
SARS-CoV-2
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