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Because these correlations can have a strong impact on epidemic dynamics, such as through the local depletion of susceptible nodes surrounding infected nodes, tracking these correlations allows pairwise models to more accurately describe epidemic dynamics on networks.
Funding: DAR is funded naughty flirterige offertes beelden by the ETH Zürich Postdoctoral Fellowship Program and the Marie Curie Actions for People cofund Program.
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For multi-strain pathogen systems, network structure can have more complex effects on evolutionary dynamics depending on how different pathogens interact; ranging from a higher probability of invading strains being competitively excluded 58, 59 to facilitating the spread of synergistic co-infections.We found that local contact network structure can have a strong impact on the the coalescent process in terms of the timing of coalescent events.Spora cz przebywajcych na gej-czatach to konkrety osoby szukajce w tej chwili przygodnego seksu.Our approach is quite different from bottom-up approaches in that it does not attempt to reconstruct the details of person-to-person transmission.



In this case, two infected individuals may have pathogens that are most closely related to one another phylogenetically but an unknown number of intervening infections might separate them in the true transmission tree.
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Clustering can be quantified in terms of a clustering coefficient : (1) where a triangle refers to a closed loop of three connected nodes and a triple to three linearly connected nodes.
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