Retrospective analysis of estimated serial interval and reproductive number of SARS-CoV-2 Omicron variant in Korea

• Published in: Advances in continuous and discrete models Vol. 2025; no. 1; p. 43
• Main Authors: Zhu, Chunjuan, Cheng, Cheng, Guo, Jia, Feng, Xiaomei, Sun, Qiwen
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2025; Springer Nature B.V
• Subjects: Analysis; Biomathematical Modelling and Stochastic Analysis; COVID-19; Difference and Functional Equations; Functional Analysis; Global economy; Health policy; Immunization; Infectious diseases; Kindergarten; Mathematics; Mathematics and Statistics; Maximum likelihood estimates; Maximum likelihood estimation; Ordinary Differential Equations; Partial Differential Equations; Public health; Severe acute respiratory syndrome coronavirus 2; Viral diseases; Maximum likelihood estimation; Reproductive number; SARS-CoV-2; Serial interval; AIC

The novel Severe Acute Respiratory Syndrome Coronavirus type 2 (SARS-CoV-2) threatens the global economy and public health, and therefore it is significant to research the intervention measures of this virus. In this study, we estimated the serial interval and reproductive number of the SARS-CoV-2 O...