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Joint analysis of vaccination effectiveness and antiviral drug effectiveness for COVID-19: a causal inference approach

  • Yue Yat Harrison Cheung
  • , Eric Ho Yin Lau
  • , Guosheng Yin
  • , Yun Lin
  • , Jialiang Jiang
  • , Benjamin John Cowling
  • , Kwok Fai Lam

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Objectives: This study aims to estimate the causal effects of oral antivirals and vaccinations in the prevention of all-cause mortality and progression to severe COVID-19 in an integrative setting with both antivirals and vaccinations considered as interventions. Methods: We identified hospitalized adult patients (i.e. aged 18 or above) in Hong Kong with confirmed SARS-CoV-2 infection between March 16, 2022, and December 31, 2022. An inverse probability-weighted (IPW) Andersen-Gill model with time-dependent predictors was used to address immortal time bias and produce causal estimates for the protection effects of oral antivirals and vaccinations against severe COVID-19. Results: Given prescription is made within 5 days of confirmed infection, nirmatrelvir-ritonavir is more effective in providing protection against all-cause mortality and development into severe COVID-19 than molnupiravir. There was no significant difference between CoronaVac and Comirnaty in the effectiveness of reducing all-cause mortality and progression to severe COVID-19. Conclusions: The use of oral antivirals and vaccinations causes lower risks of all-cause mortality and progression to severe COVID-19 for hospitalized SARS-CoV-2 patients.

Original languageEnglish
Article number107012
JournalInternational Journal of Infectious Diseases
Volume143
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Comirnaty
  • CoronaVac
  • Molnupiravir
  • Nirmatrelvir
  • Ritonavir
  • SARS-CoV-2

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