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• W3204355590 abstract "Abstract Background The effective reproduction number, R t , is a tool to track and understand epidemic dynamics. This investigation of R t estimations was conducted to guide the national COVID-19 response in Qatar, from the onset of the epidemic until August 18, 2021. Methods Real-time “empirical” was estimated using five methods, including the Robert Koch Institute, Cislaghi, Systrom-Bettencourt and Ribeiro, Wallinga and Teunis, and Cori et al. methods. R was also estimated using a transmission dynamics model . Uncertainty and sensitivity analyses were conducted. Agreements between different R t estimates were assessed by calculating correlation coefficients. Results captured the evolution of the epidemic through three waves, public health response landmarks, effects of major social events, transient fluctuations coinciding with significant clusters of infection, and introduction and expansion of the B.1.1.7 variant. The various estimation methods produced consistent and overall comparable estimates with generally large correlation coefficients. The Wallinga and Teunis method was the fastest at detecting changes in epidemic dynamics. estimates were consistent whether using time series of symptomatic PCR-confirmed cases, all PCR-confirmed cases, acute-care hospital admissions, or ICU-care hospital admissions, to proxy trends in true infection incidence. correlated strongly with and provided an average . Conclusions R t estimations were robust and generated consistent results regardless of the data source or the method of estimation. Findings affirmed an influential role for R t estimations in guiding national responses to the COVID-19 pandemic, even in resource-limited settings." @default.
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• W3204355590 date "2021-10-07" @default.
• W3204355590 modified "2023-10-06" @default.
• W3204355590 title "Characterizing the effective reproduction number during the COVID-19 epidemic: Insights from Qatar’s experience" @default.
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• W3204355590 doi "https://doi.org/10.1101/2021.10.07.21264599" @default.
• W3204355590 hasPublicationYear "2021" @default.
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