On the Time Shift Phenomena in Epidemic Models
Título
On the Time Shift Phenomena in Epidemic Models
Autor
Semra Ahmetolan, Ayse Humeyra Bilge, Ali Demirci, Ayse Peker-Dobie, Ayse Peker-Dobie
Descripción
In the standard Susceptible-Infected-Removed (SIR) and Susceptible-Exposed-Infected-Removed (SEIR) models, the peak of infected individuals coincides with the inflection point of removed individuals. Nevertheless, a survey based on the data of the 2009 H1N1 epidemic in Istanbul, Turkey displayed a time shift between the hospital referrals and fatalities. An analysis of recent COVID-19 data and the records for Spanish flu (1918–1919) and SARS (2002–2004) epidemics confirm this observation. We use multistage SIR and SEIR models to provide an explanation for this time shift. Numerical solutions of these models present strong evidence that the delay between the peak of R′(t) and the peak of J(t)=∑iIi(t) is approximately half of the infectious period of the epidemic disease. In addition, we use a quadratic approximation to show that the distance between successive peaks of Ii is 1/γi, where 1/γi is the infectious period of the ith infectious stage, and we present numerical calculations that confirm this approximation.
Fecha
2020
Materia
covid-19, epidemic models, time shift, multistage Susceptible-Infected-Removed model, multistage Susceptible-Exposed-Infected-Removed model
Identificador
10.3389/fphy.2020.578455
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Physics
Colección
Citación
Semra Ahmetolan, Ayse Humeyra Bilge, Ali Demirci, Ayse Peker-Dobie, Ayse Peker-Dobie, “On the Time Shift Phenomena in Epidemic Models,” SOCICT Open, consulta 20 de abril de 2026, https://socictopen.socict.org/items/show/7910.
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