<p>We separate nodes by type , but assume that has no effect on connectivity. Both infectiousness and susceptibility may depend on . We must consider edges between each pair of types and separately. The evolution of edges is similar to before.</p
Many complex networks from the World Wide Web to biological networks grow taking into account the he...
Individual-based network models are increasingly being applied to understand the transmission dynami...
<p><b>A</b> the geometric infection model, <b>B</b> the immune priming model, and <b>C</b> the heter...
The compartmental models used to study epidemic spreading often assume the same susceptibility for a...
<p>We separate nodes by type. We assume that type may influence infectiousness and susceptibility as...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
For many important pathogens, mechanisms promoting antigenic variation, such as mutation and recombi...
Illustration of how host population (panel A) and strain (panel B) structure maintain coexistence by...
The compartmental models used to study epidemic spreading often assume the same susceptibility for a...
<p>We assume a host population that is composed of 1, 2, 4 or 6 classes of individuals, varying in t...
<p>Colors represent different mutation profiles in a subclone (i.e., a subclonal mutation present in...
<p>A larger sectorial area corresponds to a greater probability. For the upper group of nodes, which...
The duration, type and structure of connections between individuals in real-world populations play a...
Heterogeneity in the parameters governing the spread of infectious diseases is a common feature of r...
Previous studies revealed that the susceptibility, contacting preference, and recovery probability m...
Many complex networks from the World Wide Web to biological networks grow taking into account the he...
Individual-based network models are increasingly being applied to understand the transmission dynami...
<p><b>A</b> the geometric infection model, <b>B</b> the immune priming model, and <b>C</b> the heter...
The compartmental models used to study epidemic spreading often assume the same susceptibility for a...
<p>We separate nodes by type. We assume that type may influence infectiousness and susceptibility as...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
For many important pathogens, mechanisms promoting antigenic variation, such as mutation and recombi...
Illustration of how host population (panel A) and strain (panel B) structure maintain coexistence by...
The compartmental models used to study epidemic spreading often assume the same susceptibility for a...
<p>We assume a host population that is composed of 1, 2, 4 or 6 classes of individuals, varying in t...
<p>Colors represent different mutation profiles in a subclone (i.e., a subclonal mutation present in...
<p>A larger sectorial area corresponds to a greater probability. For the upper group of nodes, which...
The duration, type and structure of connections between individuals in real-world populations play a...
Heterogeneity in the parameters governing the spread of infectious diseases is a common feature of r...
Previous studies revealed that the susceptibility, contacting preference, and recovery probability m...
Many complex networks from the World Wide Web to biological networks grow taking into account the he...
Individual-based network models are increasingly being applied to understand the transmission dynami...
<p><b>A</b> the geometric infection model, <b>B</b> the immune priming model, and <b>C</b> the heter...
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