Download modeling the interplay between human behavior and the spread of infectious diseases in pdf or read modeling the interplay between human behavior and the spread of infectious diseases in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get modeling the interplay between human behavior and the spread of infectious diseases in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.

Modeling The Interplay Between Human Behavior And The Spread Of Infectious Diseases

Author: Piero Manfredi
Publisher: Springer Science & Business Media
ISBN: 1461454743
Size: 59.78 MB
Format: PDF, ePub, Mobi
View: 5382
Download and Read
This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and to advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology.

Human Dynamics Research In Smart And Connected Communities

Author: Shih-Lung Shaw
Publisher: Springer
ISBN: 3319732471
Size: 52.55 MB
Format: PDF, Mobi
View: 1109
Download and Read
This book addresses how accelerating advances in information and communication technology, mobile technology, and location-aware technology have fundamentally changed the ways how social, political, economic and transportation systems work in today’s globally connected world. It delivers on many exciting research questions related to human dynamics at both disaggregate and aggregate levels that attract the attention of researchers from a wide range of disciplines. Human Dynamics Research involves theoretical perspectives, space-time analytics, modeling human dynamics, urban analytics, social media and big data, travel dynamics, privacy issues, development of smart cities, and problems and prospects of human dynamics research. This book includes contributions on theoretical, technical, or application aspects of human dynamics research from different disciplines. Appealing to researchers, scholars and students across a wide range of topics and disciplines including: urban studies, space-time, mobility and the internet, social media, big data, behavioral geography and spatio-temporal-network visualization, this book offers a glimpse at the cutting edge of research on human dynamics.

Issues And Trends In Interdisciplinary Behavior And Social Science

Author: Ford Lumban Gaol
Publisher: CRC Press
ISBN: 1351372696
Size: 54.17 MB
Format: PDF, Mobi
View: 662
Download and Read
Issues and Trends in Interdisciplinary Behavior and Social Science contains papers presented at the 6th International Congress on Interdisciplinary Behavior and Social Science 2017 (ICIBSoS 2017), held 16—17 December 2017 in Yogyakarta, Indonesia. The contributions cover every discipline in all fields of social science, and discuss many current trends and issues being faced by 21st century society especially in Southeast Asia. Topics include literature, family culture studies, behavior studies, psychology and human development, religion and values, religious coping, social issues such as urban poverty and juvenile crisis, driving behavior, well-being of women, career women, career performance, job stress, happiness, social adjustment, quality of life among patients, the cosmetics business, etc. The issues are discussed using scientific quantitative or qualitative methods from different academic viewpoints.

A Model Of Reporting And Controlling Outbreaks By Public Health Agencies

Author: Saak, Alexander E.
Publisher: Intl Food Policy Res Inst
Size: 57.68 MB
Format: PDF
View: 2506
Download and Read
When an outbreak of an infectious disease is suspected, a local health agency may notify a state or federal agency and request additional resources to investigate and, if necessary, contain it. However, due to capacity constraints, state and federal health agencies may not be able to grant all such requests, which may give an incentive to local agencies to request help strategically. We study a model of detection and control of an infectious disease by local health agencies in the presence of imperfect information about the likelihood of an outbreak and limited diagnostic capacity. When diagnostic capacity is rationed based on reports of symptoms, the decision to report symptoms or not creates a trade-off. On the one hand, rigorous testing allows one to make an informed disease control decision. On the other hand, it also increases the probability that the disease will spread from an untested area where fewer precautionary measures are taken. Symptoms are overreported (respectively, reported truthfully, or underreported) when the cost of disease control is sufficiently small (respectively, in some intermediate range, or sufficiently large). If the disease incidence decreases or infectiousness increases, symptoms are reported less frequently. If the precision of private signals increases, the extent of overreporting of symptoms may increase. For different values of the parameters it can be socially optimal to subsidize or tax requests for additional investigations and confirmatory testing.

Disease Modelling And Public Health

Publisher: Elsevier
ISBN: 0444639691
Size: 59.85 MB
Format: PDF, Docs
View: 7435
Download and Read
Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. Presents a comprehensive, two-part volume written by leading subject experts Provides a unique breadth and depth of content coverage Addresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output

Propagation Dynamics On Complex Networks

Author: Xinchu Fu
Publisher: John Wiley & Sons
ISBN: 1118762819
Size: 19.88 MB
Format: PDF, Kindle
View: 7242
Download and Read
Explores the emerging subject of epidemic dynamics on complexnetworks, including theories, methods, and real-worldapplications Throughout history epidemic diseases have presented a seriousthreat to human life, and in recent years the spread of infectiousdiseases such as dengue, malaria, HIV, and SARS has captured globalattention; and in the modern technological age, the proliferationof virus attacks on the Internet highlights the emergent need forknowledge about modeling, analysis, and control in epidemicdynamics on complex networks. For advancement of techniques, it has become clear that morefundamental knowledge will be needed in mathematical and numericalcontext about how epidemic dynamical networks can be modelled,analyzed, and controlled. This book explores recent progress inthese topics and looks at issues relating to various epidemicsystems. Propagation Dynamics on Complex Networks covers most keytopics in the field, and will provide a valuable resource forgraduate students and researchers interested in network science anddynamical systems, and related interdisciplinary fields. Key Features: Includes a brief history of mathematical epidemiology andepidemic modeling on complex networks. Explores how information, opinion, and rumor spread via theInternet and social networks. Presents plausible models for propagation of SARS and avianinfluenza outbreaks, providing a reality check for otherwiseabstract mathematical modeling. Considers various infectivity functions, including constant,piecewise-linear, saturated, and nonlinear cases. Examines information transmission on complex networks, andinvestigates the difference between information and epidemicspreading.

The Impacts Of Simultaneous Disease Intervention Decisions On Epidemic Outcomes

Size: 11.17 MB
Format: PDF, ePub
View: 759
Download and Read
Abstract: Mathematical models of the interplay between disease dynamics and human behavioural dynamics can improve our understanding of how diseases spread when individuals adapt their behaviour in response to an epidemic. Accounting for behavioural mechanisms that determine uptake of infectious disease interventions such as vaccination and non-pharmaceutical interventions (NPIs) can significantly alter predicted health outcomes in a population. However, most previous approaches that model interactions between human behaviour and disease dynamics have modelled behaviour of these two interventions separately. Here, we develop and analyze an agent based network model to gain insights into how behaviour toward both interventions interact adaptively with disease dynamics (and therefore, indirectly, with one another) during the course of a single epidemic where an SIRV infection spreads through a contact network. In the model, individuals decide to become vaccinated and/or practice NPIs based on perceived infection prevalence (locally or globally) and on what other individuals in the network are doing. We find that introducing adaptive NPI behaviour lowers vaccine uptake on account of behavioural feedbacks, and also decreases epidemic final size. When transmission rates are low, NPIs alone are as effective in reducing epidemic final size as NPIs and vaccination combined. Also, NPIs can compensate for delays in vaccine availability by hindering early disease spread, decreasing epidemic size significantly compared to the case where NPI behaviour does not adapt to mitigate early surges in infection prevalence. We also find that including adaptive NPI behaviour strongly mitigates the vaccine behavioural feedbacks that would otherwise result in higher vaccine uptake at lower vaccine efficacy as predicted by most previous models, and the same feedbacks cause epidemic final size to remain approximately constant across a broad range of values for vaccine efficacy. Finally, when individuals use local information about others' behaviour and infection prevalence, instead of population-level information, infection is controlled more efficiently through ring vaccination, and this is reflected in the time evolution of pair correlations on the network. This model shows that accounting for both adaptive NPI behaviour and adaptive vaccinating behaviour regarding social effects and infection prevalence can result in qualitatively different predictions than if only one type of adaptive behaviour is modelled. Abstract : Highlights: We create an agent based network model that simulates an epidemic. We combine population decisions for vaccination and non-pharmaceutical interventions. Vaccination mitigates epidemic final size effectively for high transmission rates. Non-pharmaceutical interventions compensate for delays in vaccine availability. Non-pharmaceutical interventions can lower vaccine uptake and reduce epidemic size.

Abstracts In Anthropology

Size: 75.76 MB
Format: PDF, ePub, Mobi
View: 5873
Download and Read
Quarterly. References to journal articles, miscellaneous papers, and books, arranged under sections on archaeology, ethnology, linguistics, and physical anthropology. Cross references. Cross index.