Modeling Incorporating the Severity-Reducing Long-term Immunity: Higher Viral Transmission Paradoxically Reduces Severe COVID-19 During Endemic Transition

  • Hong, Hyukpyo; 
  • Noh, Ji Yun; 
  • Lee, Hyojung; 
  • Choi, Sunhwa; 
  • Choi, Boseung; 
  • 외 2명
Citations

WEB OF SCIENCE

4
Citations

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4

초록

Natural infection with severe acute respiratory syndrome-coronavirus-2 or vaccination induces virus-specific immunity protecting hosts from infection and severe disease. While the infection-preventing immunity gradually declines, the severity-reducing immunity is relatively well preserved. Here, based on the different longevity of these distinct immunities, we develop a mathematical model to estimate courses of endemic transition of coronavirus disease 2019 (COVID-19). Our analysis demonstrates that high viral transmission unexpectedly reduces the rates of progression to severe COVID-19 during the course of endemic transition despite increased numbers of infection cases. Our study also shows that high viral transmission amongst populations with high vaccination coverages paradoxically accelerates the endemic transition of COVID-19 with reduced numbers of severe cases. These results provide critical insights for driving public health policies in the era of 'living with COVID-19.'

키워드

COVID-19; SARS-CoV-2; Immunity; Severity; Endemic transition; SARS-COV-2; VACCINE
제목
Modeling Incorporating the Severity-Reducing Long-term Immunity: Higher Viral Transmission Paradoxically Reduces Severe COVID-19 During Endemic Transition
저자
Hong, Hyukpyo; Noh, Ji Yun; Lee, Hyojung; Choi, Sunhwa; Choi, Boseung; Kim, Jae Kyoung; Shin, Eui-Cheol
DOI
10.4110/in.2022.22.e23
발행일
2022-06
유형
Article
저널명
Immune Network
권
22
호
3