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Modeling the interplay between human behavior and the spread of infectious diseases
Piero Manfredi,Alberto d’Onofrio +1 more
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Modeling the interplay between human behavior and the spread of infectious diseases and the impact of environmental factors on human behavior is studied.Abstract:
Modeling the interplay between human behavior and the spread of infectious diseases / , Modeling the interplay between human behavior and the spread of infectious diseases / , کتابخانه دیجیتال جندی شاپور اهوازread more
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Journal ArticleDOI
Risk of disease and willingness to vaccinate in the United States: A population-based survey.
TL;DR: It is found that different degrees of risk (in terms of local cases of disease) correspond with different proportions of populations willing to vaccinate, and several sociodemographic aspects of vaccine propensity are identified.
Journal ArticleDOI
Epidemic spreading with awareness and different timescales in multiplex networks
Paulo Cesar Ventura da Silva,Fátima Velásquez-Rojas,Colm Connaughton,Federico Vazquez,Federico Vazquez,Yamir Moreno,Francisco A. Rodrigues,Francisco A. Rodrigues +7 more
Abstract: One of the major issues in theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a fundamental role in the spreading dynamics and can be used to stop a disease from spreading or to reduce its burden, as individuals aware of the presence of a disease can take measures to reduce their exposure to contagion. In this paper, we propose a mathematical model for the spread of diseases with awareness in complex networks. Unlike previous models, the information is propagated following a generalized Maki-Thompson rumor model. Flexibility on the timescale between information and disease spreading is also included. We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. We also show that a reduction in the fraction of unaware individuals does not always imply a decrease of the prevalence, as the relative timescale between disease and awareness spreading plays a crucial role in the systems' dynamics. This result is shown to be independent of the network topology. We finally calculate the epidemic threshold of our model, and show that it does not depend on the relative timescale. Our results provide a new view on how information influence disease spreading and can be used for the development of more efficient methods for disease control.
Journal ArticleDOI
Coupled Heterogeneities and Their Impact on Parasite Transmission and Control
Gonzalo M. Vazquez-Prokopec,Gonzalo M. Vazquez-Prokopec,T. Alex Perkins,T. Alex Perkins,Lance A. Waller,Alun L. Lloyd,Alun L. Lloyd,Robert C. Reiner,Robert C. Reiner,Thomas W. Scott,Thomas W. Scott,Uriel Kitron,Uriel Kitron +12 more
TL;DR: It is argued that research efforts should move beyond considering the impact of single sources of heterogeneity and account for complex couplings between conditions with potential synergistic impacts on parasite transmission.
Journal ArticleDOI
Dynamics of vaccination in a time-delayed epidemic model with awareness.
TL;DR: The model considers contributions to the overall awareness from a global information campaign, direct contacts between unaware and aware individuals, and reported cases of infection to investigate the effects of vaccination on the dynamics of infectious disease.
Journal ArticleDOI
Modeling of pseudo-rational exemption to vaccination for SEIR diseases
TL;DR: It is shown that the vaccinating behavior depending on current information can trigger oscillations, differently from the case of SIR diseases, where an information delay is needed to induce oscillations.