Abstract
The stochastic SIS epidemic model is well-known for its critical threshold Rs, indicating the transition between disease eradication (Rs < 1) and epidemic outbreaks (Rs > 1). However, the scenario where Rs = 1 has been uncertain. We present a definitive resolution to this pivotal issue. Additionally, we introduce advancements in analyzing the disease-free state of equilibrium when Rs < 1 to deepen our understanding of the system dynamics. To validate our theoretical developments and provide visual evidence, extensive computer simulations are conducted, enhancing the comprehensiveness and applicability of our findings to the broader field of epidemiology and infectious disease modeling. The implications of our results extend to public health policies and interventions aimed at effectively managing and controlling infectious diseases in different communities where Rs hovers around the critical value.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.