Modeling the Impact of Ensitrelvir on SARS-CoV-2 Dynamics and Its Application for Assessment of Transmission Mitigation of Patients with COVID-19
The viral reduction by ensitrelvir could be characterized based on the viral dynamics, and the dynamics could be estimated using the drug effect model. Furthermore, the drug effect on population level transmission based on the dynamics could be estimated. Thus, the simulation could be conducted for various conditions.
Authors
- Yoshitake Kitanishi (ORCID: https://orcid.org/0000-0002-3528-3990)
- Masaya Saito (ORCID: https://orcid.org/0000-0002-4840-6515)
- D T Yamaguchi (ORCID: https://orcid.org/0009-0007-9455-5638)
- Takamichi Baba (ORCID: https://orcid.org/0000-0002-4968-2642)
- Ryosuke Shimizu (ORCID: https://orcid.org/0000-0001-9666-8678)
- Ryuji Kubota (ORCID: https://orcid.org/0000-0003-1979-4472)
- Shogo Miyazawa
- Ayano Hata
Institutions
- University of Nagasaki (JP)
- Shionogi (Japan) (JP)
- Futaba (Japan) (JP)
Publication Details
- Journal
- Infectious Diseases and Therapy
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1007/s40121-024-01046-6
- Citations
- 1
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- Shionogi