About: Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology
Creator	Lewis, Bryan Marathe, Madhav Barrett, Christopher Chen, Jiangzhuo Eubank, Stephen Kumar, V Ravi, S Shukla, S
Source	PMC
abstract	Human behavior, social networks, and the civil infrastructures are closely intertwined. Understanding their co-evolution is critical for designing public policies and decision support for disaster planning. For example, human behaviors and day to day activities of individuals create dense social interactions that are characteristic of modern urban societies. These dense social networks provide a perfect fabric for fast, uncontrolled disease propagation. Conversely, people’s behavior in response to public policies and their perception of how the crisis is unfolding as a result of disease outbreak can dramatically alter the normally stable social interactions. Effective planning and response strategies must take these complicated interactions into account. In this chapter, we describe a computer simulation based approach to study these issues using public health and computational epidemiology as an illustrative example. We also formulate game-theoretic and stochastic optimization problems that capture many of the problems that we study empirically.
has issue date	2009-01-01(xsd:dateTime)
bibo:doi	10.1007/978-1-4020-9688-4_18
has license	no-cc
sha1sum (hex)	c63ac11f339de098c6bb060bee1cdc5c4c21c953
schema:url	https://doi.org/10.1007/978-1-4020-9688-4_18
resource representing a document's title	Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology
has PubMed Central identifier	PMC7122072
schema:publication	Fundamental Problems in Computing
resource representing a document's body	covid:c63ac11f339de098c6bb060bee1cdc5c4c21c953#body_text
is schema:about of	named entity 'public policies' named entity 'human behaviors' named entity 'demographic distribution' named entity 'co-evolving' named entity 'flu season' named entity 'Social networks' named entity 'ith' named entity 'game theory' named entity 'infectious diseases' named entity 'discrete dynamical systems' named entity 'infection rate' named entity 'causality' named entity 'antiviral' named entity 'Nash equilibria' named entity 'sampling' named entity 'game theoretic' named entity 'infectious disease' named entity 'GAN' named entity 'co-worker' named entity 'computational theory' named entity 'probability' named entity 'empirical results' named entity 'vaccination' named entity 'public good' named entity 'probability' named entity 'epidemic' named entity 'ith' named entity 'epidemic' named entity 'agent based modeling' named entity 'infection' named entity '18.3' named entity 'immunization' named entity 'vaccination' named entity 'epidemic' named entity 'NP-complete' named entity 'epidemic' named entity 'potentially infectious' named entity 'public health' named entity 'formal model' named entity 'public health policies' named entity 'vaccinating' named entity 'agent based models' named entity 'epidemic' named entity 'Vaccination' named entity 'epidemic' named entity 'stochastic' named entity 'epidemic' named entity 'probability' named entity 'prophylactic' named entity 'epidemiological models' named entity 'Vaccinating' named entity 'P-hard' named entity 'pandemic influenza' named entity 'epidemic' named entity 'vaccination' named entity 'evolution' named entity 'presenteeism' named entity 'infection' named entity 'Computational models' named entity 'differential equation' named entity 'vaccinating' named entity 'disease models' named entity 'epidemic' named entity 'SARS epidemic' named entity 'computational model' named entity 'public policy' named entity 'social network' named entity 'probability' named entity 'epidemiological modeling' named entity 'polynomial time' named entity 'POMDP' named entity 'feasible solution' named entity 'Nash equilibria' named entity 'policy makers' named entity 'contact graph' named entity 'computational complexity'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software