To manage risks and mitigate the transmission of infectious diseases, individuals often adopt strategies aimed at reducing interpersonal contact by implementing precautionary measures within their daily routines. These behavioral adjustments reduce the disease transmission rates. In this study, we present a novel mathematical model delineating diseases induced by carriers, incorporating multifaceted factors, such as psychological fear, media impact, and sanitation interventions. We analyze the system’s dynamics using analytical as well as numerical methods. We find that rapid dissemination of information through social media can lead to oscillations, mitigated by introducing a sufficient baseline number of advertisements. The system undergoes a transition from the disease-free to endemic states via a transcritical bifurcation, occurring when the basic reproduction number surpasses unity. Through a Hopf bifurcation, the system shifts from a stable state to limit cycle oscillations once the growth rate of advertisements is above a critical value. Heightened levels of fear attenuate these oscillations, thereby stabilizing the system at an endemic state. Moreover, the system experiences periodic, higher-periodic, and chaotic oscillations when the growth rate of advertisements varies seasonally. Overall, our findings underscore the significant role of psychological fear, media influence, and sanitation measures in suppressing the prevalence of diseases induced by carriers from the targeted population.