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Cumulative COVID-19 incidence indicators should account for the population-at-risk dynamics
Pere Masjuan; Sergi Trias-Llimos; Camilo Rojas; Arul Prakash; Pedro Gullon; Aurelio Tobias; Antonio Lopez-Gay.
Affiliation
  • Pere Masjuan; Universitat Autonoma de Barcelona
  • Sergi Trias-Llimos; Centre Estudis Demografics
  • Camilo Rojas; Institut de Fisica Altes Energies
  • Arul Prakash; Institut de Fisica Altes Energies
  • Pedro Gullon; Public Health and Epidemiology Research Group
  • Aurelio Tobias; Institute of Environmental Assessment and Water Research
  • Antonio Lopez-Gay; Centre Estudis Demografics
Preprint in English | medRxiv | ID: ppmedrxiv-22281225
ABSTRACT
Risk estimators for COVID-19 propagation based on the incidence rate of new cases can be misleading as they usually fail to account for the fraction of population immunized by infection or vaccination.This misconception yields different incidence rates, as we illustrate using the daily number of COVID-19 reported cases in Spain during the pre-vaccine period, between 15/01/2020 and 11/07/2021. An increase in the incidence rate of about 7% is found when properly accounting for the population at risk. Our results demonstrate that accounting for dynamic changes to the immunized fraction of the population is necessary for accurate risk estimation. We hope that our findings can lead to more effective strategies for pandemic response.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2022 Document type: Preprint
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