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We evaluated a variety of commonly implemented public health interventions by changing the contact patterns within the network, transmissibility of the disease, or both.
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In our simulated urban contact network, the critical transmissibility threshold is T c = 0.048.
In any given network exists a critical transmissibility value, T c, which indicates whether a large-scale epidemic is probable.
We defined disease as due to recent infection if the network-determined source was within 5 years, and assessed transmissibility from forward transmissions resulting in disease.
Limb transmissibility depends on transmission performances of the mounted joints.
For example, the Kuna Indians observe good personal hygiene; while this is reflected in a low inter-personal transmissibility, overcrowding and significant community network clustering nonetheless predispose to high levels of contagion.
We then calculate the average transmissibility T of the modified network for use in percolation analysis, as reported in Figures 3– 5 in the main text.
We derive the expression for the potential of global invasion of the epidemic that depends on the transmissibility of the pathogen, the transportation network and mobility features, the demographic profile and the mixing pattern.
To diagnose faults in engineering structures in the situations where the excitation signals are unavailable or inaccessible, response-only data, transmissibility function, are utilised to train neural networks.
The population is highly networked to reflect some of the character of a modern city transportation network [1], [14], [16] with an infectious agent of variable infection profile and transmissibility.
Transmission risk may not scale with transmissibility or flock size.
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