Abstract
Abstract Social networks have become vital in the modeling of disease spread in populations, but so far these models have failed to take into account human risk perception: the fact that human beings, when aware of a disease outbreak, will take precautions to reduce their susceptibility. We study an existing model of risk perception on a social network and note the changes in the efficiency of the disease spread to previous studies that failed to take human behavior into account. We also discuss the accounts that need to be taken into consideration in the construction of accurate models of the population.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
