Global stability of an SAIRD epidemiological model with negative feedback

Roxana López-Cruz

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this work, we study the dynamical behavior of a modified SIR epidemiological model by introducing negative feedback and a nonpharmaceutical intervention. The first model to be defined is the usceptible–Isolated–Infected–Recovered–Dead (SAIRD) epidemics model and then the S-A-I-R-D-Information Index (SAIRDM) model that corresponds to coupling the SAIRD model with the negative feedback. Controlling the information about nonpharmaceutical interventions is considered by the addition of a new variable that measures how the behavioral changes about isolation influence pandemics. An analytic expression of a replacement ratio that depends on the absence of the negative feedback is determined. The results obtained show that the global stability of the disease-free equilibrium is determined by the value of a certain threshold parameter called the basic reproductive number R and the local stability of the free disease equilibrium depends on the replacement ratios. A Hopf bifurcation is analytically verified for the delay parameter. The qualitative analysis shows that the feedback information index promotes more changes to the propagation of the disease than other parameters. Finally, the sensitivity analysis and simulations show the efficiency of the infection rate of the information index on an epidemics model with nonpharmaceutical interventions.

Original languageEnglish
Article number41
JournalAdvances in Continuous and Discrete Models
Issue number1
StatePublished - Dec 2022
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the Instituto de Investigación Científica (IDIC) of the Universidad de Lima, Perú.

Publisher Copyright:
© 2022, The Author(s).


  • Epidemics
  • Information index
  • Negative feedback
  • SAIRDM model
  • Stability


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