scholarly journals Effectiveness of Vaccination Strategies for Infectious Diseases According to Human Contact Networks

2005 ◽  
pp. 956-962 ◽  
Author(s):  
Fumihiko Takeuchi ◽  
Kenji Yamamoto
Keyword(s):  
Infectious Diseases ◽  
Contact Networks ◽  
Vaccination Strategies ◽  
Human Contact

scholarly journals Insights into the transmission of respiratory infectious diseases through empirical human contact networks

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Chunlin Huang ◽  
Xingwu Liu ◽  
Shiwei Sun ◽  
Shuai Cheng Li ◽  
Minghua Deng ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Contact Networks ◽  
Human Contact ◽  
Respiratory Infectious Diseases

scholarly journals Identification of effective spreaders in contact networks using dynamical influence

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ruaridh A. Clark ◽  
Malcolm Macdonald
Keyword(s):  
Disease Transmission ◽  
Average Rate ◽  
Laplacian Matrix ◽  
Disease Spread ◽  
Eigenvector Centrality ◽  
Contact Networks ◽  
Human Contact ◽  
Spread Dynamics ◽  
Definition Of ◽  
High Degree

AbstractContact networks provide insights on disease spread due to the duration of close proximity interactions. For systems governed by consensus dynamics, network structure is key to optimising the spread of information. For disease spread over contact networks, the structure would be expected to be similarly influential. However, metrics that are essentially agnostic to the network’s structure, such as weighted degree (strength) centrality and its variants, perform near-optimally in selecting effective spreaders. These degree-based metrics outperform eigenvector centrality, despite disease spread over a network being a random walk process. This paper improves eigenvector-based spreader selection by introducing the non-linear relationship between contact time and the probability of disease transmission into the assessment of network dynamics. This approximation of disease spread dynamics is achieved by altering the Laplacian matrix, which in turn highlights why nodes with a high degree are such influential disease spreaders. From this approach, a trichotomy emerges on the definition of an effective spreader where, for susceptible-infected simulations, eigenvector-based selections can either optimise the initial rate of infection, the average rate of infection, or produce the fastest time to full infection of the network. Simulated and real-world human contact networks are examined, with insights also drawn on the effective adaptation of ant colony contact networks to reduce pathogen spread and protect the queen ant.

Data Delivery Properties of Human Contact Networks

2011 ◽  
Vol 10 (6) ◽  
pp. 868-880 ◽  
Author(s):  
Nishanth Sastry ◽  
D. Manjunath ◽  
Karen Sollins ◽  
Jon Crowcroft
Keyword(s):  
Data Delivery ◽  
Contact Networks ◽  
Human Contact

scholarly journals Spreading predictability in complex networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Na Zhao ◽  
Jian Wang ◽  
Yong Yu ◽  
Jun-Yan Zhao ◽  
Duan-Bing Chen
Keyword(s):  
Infectious Diseases ◽  
Prediction Model ◽  
Complex Networks ◽  
State Of The Art ◽  
Experimental Results ◽  
Vaccination Strategies ◽  
Macro Scale ◽  
Good Consistency ◽  
The Future ◽  
Rumor Control

AbstractMany state-of-the-art researches focus on predicting infection scale or threshold in infectious diseases or rumor and give the vaccination strategies correspondingly. In these works, most of them assume that the infection probability and initially infected individuals are known at the very beginning. Generally, infectious diseases or rumor has been spreading for some time when it is noticed. How to predict which individuals will be infected in the future only by knowing the current snapshot becomes a key issue in infectious diseases or rumor control. In this report, a prediction model based on snapshot is presented to predict the potentially infected individuals in the future, not just the macro scale of infection. Experimental results on synthetic and real networks demonstrate that the infected individuals predicted by the model have good consistency with the actual infected ones based on simulations.

scholarly journals A Household-Based Study of Contact Networks Relevant for the Spread of Infectious Diseases in the Highlands of Peru

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0118457 ◽  
Author(s):  
Carlos G. Grijalva ◽  
Nele Goeyvaerts ◽  
Hector Verastegui ◽  
Kathryn M. Edwards ◽  
Ana I. Gil ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Contact Networks

scholarly journals Using network properties to predict disease dynamics on human contact networks

2011 ◽  
Vol 278 (1724) ◽  
pp. 3544-3550 ◽  
Author(s):  
Gregory M. Ames ◽  
Dylan B. George ◽  
Christian P. Hampson ◽  
Andrew R. Kanarek ◽  
Cayla D. McBee ◽  
...  
Keyword(s):  
Degree Distribution ◽  
Stochastic Simulations ◽  
Disease Spread ◽  
Contact Structures ◽  
Contact Network ◽  
Contact Networks ◽  
Human Contact ◽  
Differential Equation Models ◽  
Network Properties ◽  
Intermediate Density

Recent studies have increasingly turned to graph theory to model more realistic contact structures that characterize disease spread. Because of the computational demands of these methods, many researchers have sought to use measures of network structure to modify analytically tractable differential equation models. Several of these studies have focused on the degree distribution of the contact network as the basis for their modifications. We show that although degree distribution is sufficient to predict disease behaviour on very sparse or very dense human contact networks, for intermediate density networks we must include information on clustering and path length to accurately predict disease behaviour. Using these three metrics, we were able to explain more than 98 per cent of the variation in endemic disease levels in our stochastic simulations.

Characterizing pairwise contact patterns in human contact networks

2012 ◽  
Vol 10 (3) ◽  
pp. 524-535 ◽  
Author(s):  
Lintao Yang ◽  
Hao Jiang ◽  
Sai Wang ◽  
Lin Wang ◽  
Yuan Fang
Keyword(s):  
Contact Networks ◽  
Human Contact ◽  
Contact Patterns

Nucleic acid vaccination strategies against infectious diseases

2015 ◽  
Vol 12 (12) ◽  
pp. 1851-1865 ◽  
Author(s):  
Małgorzata Anna Marć ◽  
Enrique Domínguez-Álvarez ◽  
Carlos Gamazo
Keyword(s):  
Nucleic Acid ◽  
Infectious Diseases ◽  
Vaccination Strategies

scholarly journals Model reproduces individual, group and collective dynamics of human contact networks

2016 ◽  
Vol 47 ◽  
pp. 130-137 ◽  
Author(s):  
Michele Starnini ◽  
Andrea Baronchelli ◽  
Romualdo Pastor-Satorras
Keyword(s):  
Individual Group ◽  
Contact Networks ◽  
Collective Dynamics ◽  
Human Contact
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