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Modeling the interplay between human behavior and the spread of infectious diseases

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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 اهواز

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The Timing and Nature of Behavioural Responses Affect the Course of an Epidemic

TL;DR: A differential equation model is developed that couples SIR-type disease dynamics with opinion dynamics and observes how the severity of an epidemic is influenced by the distribution of opinions at disease introduction, the relative rates of opinion and disease dynamics, and the amount of opinion amplification.
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Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C Infections.

TL;DR: The Agent-based Pathogen Kinetics model simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection, and can serve as a tool for guiding intervention and prevention strategies in Chicago, and other major cities.
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Oscillations and hysteresis in an epidemic model with information-dependent imperfect vaccination

TL;DR: The proposed model presents both the possibility of backward bifurcation and that of oscillations triggered by behavioral memory, and a forward hysteresis scenario may take place where multiple endemic states are possible when the basic reproduction number P 0 is greater than one.
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Pathways through which higher neighborhood crime is longitudinally associated with greater body mass index

TL;DR: The findings suggest decrements in perceived safety and physical activity are important processes that might explain why neighborhood crime is associated with greater BMI.
Journal ArticleDOI

Dynamics of an edge-based SEIR model for sexually transmitted diseases.

TL;DR: It is shown that the length of the latent period has an effect on arrival time and size of disease peak, but does not affect the final epidemic size and the basic reproduction number of the disease.
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