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.

scholarly journals Corrigendum to “Toxic metal exposure as a possible risk factor for COVID-19 and other respiratory infectious diseases” [Food Chem. Toxicol. 146 111809]

2021 ◽  
Vol 149 ◽  
pp. 111999
Author(s):  
Anatoly V. Skalny ◽  
Thania Rios Rossi Lima ◽  
Tao Ke ◽  
Ji-Chang Zhou ◽  
Julia Bornhorst ◽  
...  
Keyword(s):  
Risk Factor ◽  
Infectious Diseases ◽  
Toxic Metal ◽  
Metal Exposure ◽  
Respiratory Infectious Diseases

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 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
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