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Estimation of COVID-19 cases prevented by vaccination in California
Sophia Tan; Hailey Park; Isabel Rodríguez-Barraquer; George W. Rutherford; Kirsten Bibbins-Domingo; Nathan C. Lo.
Afiliación
  • Sophia Tan; University of California, San Francisco
  • Hailey Park; University of California, San Francisco
  • Isabel Rodríguez-Barraquer; University of California, San Francisco
  • George W. Rutherford; University of California, San Francisco
  • Kirsten Bibbins-Domingo; University of California, San Francisco
  • Nathan C. Lo; University of California, San Francisco
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22269319
ABSTRACT
ImportanceDespite widespread vaccination against COVID-19 in the United States, there are limited empirical data quantifying the public health impact in the population. ObjectiveTo estimate the number of cases of COVID-19 averted due to COVID-19 vaccination Design, Setting, and ParticipantsThe California Department of Public Health (CDPH) provided person-level data on COVID-19 cases and COVID-19 vaccine administration. To estimate the number of COVID-19 cases that would have occurred in the vaccine era in absence of vaccination, we applied a statistical model that estimated the relationship of COVID-19 cases in the pre-vaccine era between the unvaccinated age group (<12 years) and vaccine-eligible groups ([≥]12 years) to COVID-19 case data after the start of vaccination. The primary study outcome was the difference between predicted number of COVID-19 cases in absence of vaccination and observed COVID-19 cases with vaccination. As a sensitivity analysis, we developed a second independent model that estimated the number of vaccine-averted COVID-19 cases by applying published data on vaccine effectiveness to data on COVID-19 vaccine administration and estimated risk of COVID-19 over time. InterventionCOVID-19 vaccination Main Outcomes and MeasuresCOVID-19 cases ResultsThere were 4,585,248 confirmed COVID-19 cases in California from January 1, 2020 to October 16, 2021, during which 27,164,680 vaccine-eligible individuals [≥]12 years were reported to have received at least 1 dose of a COVID-19 vaccine in the vaccine era (79.5% of the eligible population). We estimated that 1,523,500 [95% prediction interval (976,800-2,230,800)] COVID-19 cases were averted and there was a 34% [95% prediction interval (25-43)] reduction in cases due to vaccination in the primary model. Approximately 66% of total cases averted occurred after the delta variant became the dominant strain of SARS-CoV-2 circulating in California. Our alternative model identified comparable findings. Conclusions and RelevanceThis study provides robust evidence on the public health impact of COVID-19 vaccination in the United States and further supports the urgency for continued vaccination. Key PointsO_ST_ABSQuestionC_ST_ABSHow many COVID-19 cases have been prevented by COVID-19 vaccination in California? FindingsIn this empirical analysis of California using data from the Department of Public Health, we estimated that COVID-19 vaccination has prevented over 1.5 million COVID-19 cases from the introduction of vaccination through October 16, 2021. MeaningThese findings support that COVID-19 vaccination had a large public health impact in California in terms of averted cases of COVID-19 and can be generalized across the United States.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Prognostic_studies / Rct Idioma: En Año: 2022 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Prognostic_studies / Rct Idioma: En Año: 2022 Tipo del documento: Preprint