Constructing a Learning Curve to Discuss the Medical Treatments and the Effect of Vaccination of COVID-19

Yi Tui Chen, Emily Chia Yu Su, Fang Ming Hung, Tomoru Hiramatsu, Tzu Jen Hung, Chao Yang Kuo

Research output: Contribution to journalArticlepeer-review


Acknowledging the extreme risk COVID-19 poses to humans, this paper attempted to analyze and compare case fatality rates, identify the existence of learning curves for COVID-19 medical treatments, and examine the impact of vaccination on fatality rate reduction. Confirmed cases and deaths were extracted from the “Daily Situation Report” provided by the World Health Organization. The results showed that low registration and low viral test rates resulted in low fatality rates, and the learning curve was significant for all countries except China. Treatment for COVID-19 can be improved through repeated experience. Vaccinations in the U.K. and U.S.A. are highly effective in reducing fatality rates, but not in other countries. The positive impact of vaccines may be attributed to higher vaccination rates. In addition to China, this study identified the existence of learning curves for the medical treatment of COVID-19 that can explain the effect of vaccination rates on fatalities.

Original languageEnglish
Article number1591
JournalHealthcare (Switzerland)
Issue number11
Publication statusPublished - Jun 2023


  • COVID-19
  • fatality
  • learning curves
  • medical treatments

ASJC Scopus subject areas

  • Leadership and Management
  • Health Policy
  • Health Informatics
  • Health Information Management


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