An Enhanced Epidemic Susceptible-Infected-Hospitalized-Recovered-Deceased (SIHRD) Stochastic Model with Emphasis on the Impact of Hospitalizations on Epidemic Evolution

• Published in: Methodology and computing in applied probability Vol. 27; no. 3; p. 55
• Main Authors: Papageorgiou, Vasileios E., Vasiliadis, Georgios, Tsaklidis, George
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2025; Springer Nature B.V
• Subjects: Algorithms; Business and Management; COVID-19 vaccines; Economics; Electrical Engineering; Epidemics; Extinction; Hospitalization; Hospitals; Immunization; Infectious diseases; Kalman filters; Life Sciences; Markov analysis; Mathematics and Statistics; Mortality; Ordinary differential equations; Patient admissions; Population; Public health; Quarantine; Random variables; Sensitivity analysis; Statistics; Stochastic models; France; Italy; First-Passage times; Epidemics; Final Size; 65C40; 62P10; Hitting times; 62E20; Markov processes; 60J27; Stochastic modelling

In this paper, we focus on a novel stochastic epidemiological Susceptible-Infected-Hospitalized-Recovered-Deceased (SIHRD) model with emphasis on the impact of hospital admissions on epidemic evolution. The proposed stochastic model offers an advanced and effective method to evaluate an epidemic bec...