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Estimating the transmission dynamics of Omicron in Beijing, November to December 2022
Kathy Leung; Eric Lau; Carlos Wong; Gabriel M Leung; Joseph Wu.
Affiliation
  • Kathy Leung; The University of Hong Kong
  • Eric Lau; University of Hong Kong
  • Carlos Wong; University of Hong Kong
  • Gabriel M Leung; The University of Hong Kong
  • Joseph Wu; The University of Hong Kong
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22283522
ABSTRACT
We tracked the effective reproduction number Rt of Omicron BF.7 in Beijing in November - December 2022 by fitting a transmission dynamic model parameterized with real-time mobility data to (i) the daily number of new symptomatic cases on November 1-11 (when the zero-covid interventions were still strictly enforced) and (ii) the proportion of individuals who participated in online polls on December 10-14 and self-reported to have been previously test-positive. After the announcement of "20 measures", we estimated that Rt increased to 3.42 (95% CrI 2.79 - 4.17) on November 18. Infection incidence peaked on December 10, and the cumulative infection attack rate was 42.5% (95% CrI 20.3 - 63.9) on December 14. Surveillance programmes should be rapidly set up to monitor the evolving epidemiology and evolution of SARS-CoV-2 across China.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2022 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2022 Document type: Preprint