BookDOI
Modeling the interplay between human behavior and the spread of infectious diseases
Piero Manfredi,Alberto d’Onofrio +1 more
- Iss: 1
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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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Book ChapterDOI
Individual and Collective Behavior in Public Health Epidemiology
TL;DR: An algorithmic treatment of the problem wherein individual and collective behaviors are seen through the lens of an algorithmist is focused on and issues related to expressiveness, efficiency, and composability as they pertain to modeling behaviors in public health epidemiology are discussed.
Journal ArticleDOI
Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics.
TL;DR: A review of existing models incorporating media in general and opportunities for social media to enhance traditional compartmental models so as to make the best use of this resource in controlling the spread of disease are highlighted.
Journal ArticleDOI
Multi-generational SIR modeling: Determination of parameters, epidemiological forecasting and age-dependent vaccination policies.
TL;DR: In this article, the authors used an age-dependent SIR system of equations to model the evolution of the COVID-19 pandemic and provided a numerical investigation regarding age-based vaccination policies, shedding some light on whether is preferable to vaccinate those at most risk (the elderly) or those who spread the disease the most (the youngest).
Posted Content
Inferring the COVID-19 infection curve in Italy
Andrea Pugliese,Sara Sottile +1 more
TL;DR: A simple method to infer the time-course of new COVID-19 infections (the most important information in order to establish the effect of containment strategies) from available aggregated data, such as number of deaths and hospitalizations is shown.
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A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy
TL;DR: In this paper, the authors introduced a compartmental epidemic model to describe the transmission of the COVID-19 disease in the presence of non-mandatory vaccination, taking into account the hesitancy and refusal of vaccination, and the information index mimics the idea that individuals take their decision on vaccination based not only on the present but also on the past information about the spread of the disease.