Analytical estimation of maximum fraction of infected individuals with one-shot non-pharmaceutical intervention in a hybrid epidemic model

• Published in: BMC infectious diseases Vol. 22; no. 1; pp. 512 - 11
• Main Authors: Fujiwara, Naoya, Onaga, Tomokatsu, Wada, Takayuki, Takeuchi, Shouhei, Seto, Junji, Nakaya, Tomoki, Aihara, Kazuyuki
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 01.06.2022; BioMed Central; BMC
• Subjects: Communicable Diseases - epidemiology; Coronaviruses; COVID-19; COVID-19 - epidemiology; COVID-19 - prevention & control; Disease control; Disease transmission; Epidemic models; Epidemics; Epidemics - prevention & control; Exact solutions; Humans; Hybrid dynamical systems; Infection control; Infectious diseases; Intervention; Mathematical models; Medical technology; Models, Theoretical; Non-pharmaceutical interventions; Numerical methods; Pandemics; Patients; Pharmaceuticals; Planning; Population; Prevention; Public health; Severe acute respiratory syndrome coronavirus 2; Society; Japan; Hybrid dynamical systems; Infectious diseases; Pandemics; Non-pharmaceutical interventions

Facing a global epidemic of new infectious diseases such as COVID-19, non-pharmaceutical interventions (NPIs), which reduce transmission rates without medical actions, are being implemented around the world to mitigate spreads. One of the problems in assessing the effects of NPIs is that different N...