Modeling the interplay between human behavior and the spread of infectious diseases
01 Oct 2013-Iss: 1
TL;DR: 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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TL;DR: This report reviews the developmental arc of theoretical epidemiology with emphasis on vaccination, as it led from classical models assuming homogeneously mixing populations and ignoring human behavior, to recent models that account for behavioral feedback and/or population spatial/social structure.
789 citations
TL;DR: It is discussed how these models can capture the dynamics that characterize many real-world scenarios, thereby suggesting ways that policy makers can better design effective prevention strategies and pitfalls which might be faced by researchers in the field.
433 citations
TL;DR: A brief outline of some of the important aspects of the development of mathematical epidemiology is given.
299 citations
TL;DR: It is concluded that individual-level models are increasingly used and useful to model behaviour changes, despite recent advancements, that most models are purely theoretical and lack representative data and a validation process.
Abstract: We review behavioural change models (BCMs) for infectious disease transmission in humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our systematic search and selection yielded 178 papers covering the period 2010–2015. We observe an increasing trend in published BCMs, frequently coupled to (re)emergence events, and propose a categorization by distinguishing how information translates into preventive actions. Behaviour is usually captured by introducing information as a dynamic parameter (76/178) or by introducing an economic objective function, either with (26/178) or without (37/178) imitation. Approaches using information thresholds (29/178) and exogenous behaviour formation (16/178) are also popular. We further classify according to disease, prevention measure, transmission model (with 81/178 population, 6/178 metapopulation and 91/178 individual-level models) and the way prevention impacts transmission. We highlight the minority (15%) of studies that use any real-life data for parametrization or validation and note that BCMs increasingly use social media data and generally incorporate multiple sources of information (16/178), multiple types of information (17/178) or both (9/178). We conclude that individual-level models are increasingly used and useful to model behaviour changes. Despite recent advancements, we remain concerned that most models are purely theoretical and lack representative data and a validation process.
268 citations
TL;DR: It is shown that pattern transitions relate to the complexity of spatial epidemics by, for example, being accompanied with phenomena such as coherence resonance and cyclic evolution, which provide valuable insights into disease prevention and control.
214 citations
Cites background from "Modeling the interplay between huma..."
...Irrespective of the detailed responses to any particular disease, it is important that human behavior has the potential to directly affect the dynamics of an epidemic, including its incidence, prevalence, and ultimately fate [134,135,140]....
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...Ample evidence nowadays points to the critical role of human behavior in disease dynamics, especially in situations in which immunization options are available [134]....
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