Abstract Interactions often require the proximity between particles. The movement of particles, thus, drives the change of the neighbors which are located in their proximity, leading to a sequence of interactions. In pathogenic contagion, infections occur through proximal interactions, but at the same time, the movement facilitates the co-location of different strains. We analyze how the particle velocity impacts on the phase transitions on the contagion process of both a single infection and two cooperative infections. First, we identify an optimal velocity (close to half of the interaction range normalized by the recovery time) associated with the largest epidemic threshold, such that decreasing the velocity below the optimal value leads ...
Records of social interactions provide us with new sources of data for understanding how interaction...
Records of social interactions provide us with new sources of data for understanding how interaction...
Records of social interactions provide us with new sources of data for understanding how interaction...
We investigate the effects of cooperativity between contagion processes that spread and persist in a...
Seemingly trivial modifications to the classical model of contagion spreading can dramatically alter...
We investigate the susceptible–infectious–recovered contagion dynamics in a system of self-propelled...
The temporal dynamics of social interactions were shown to influence the spread of disease. Here, we...
The spreading of contagions can exhibit a percolation transition, which separates transitory prevale...
Empirical evidence reveals that contagion processes often occur with competition of simple and compl...
Current modeling of infectious diseases allows for the study of complex and realistic scenarios that...
The drive to understand the invasion, spread and fade out of infectious disease in structured popula...
The drive to understand the invasion, spread and fade out of infectious disease in structured popula...
Coinfections with more than one respiratory virus can enhance or inhibit virus growth kinetics and d...
Modeling epidemic dynamics plays an important role in studying how diseases spread, predicting their...
Diseases and other contagion phenomena in nature and society can interact asymmetrically, such that ...
Records of social interactions provide us with new sources of data for understanding how interaction...
Records of social interactions provide us with new sources of data for understanding how interaction...
Records of social interactions provide us with new sources of data for understanding how interaction...
We investigate the effects of cooperativity between contagion processes that spread and persist in a...
Seemingly trivial modifications to the classical model of contagion spreading can dramatically alter...
We investigate the susceptible–infectious–recovered contagion dynamics in a system of self-propelled...
The temporal dynamics of social interactions were shown to influence the spread of disease. Here, we...
The spreading of contagions can exhibit a percolation transition, which separates transitory prevale...
Empirical evidence reveals that contagion processes often occur with competition of simple and compl...
Current modeling of infectious diseases allows for the study of complex and realistic scenarios that...
The drive to understand the invasion, spread and fade out of infectious disease in structured popula...
The drive to understand the invasion, spread and fade out of infectious disease in structured popula...
Coinfections with more than one respiratory virus can enhance or inhibit virus growth kinetics and d...
Modeling epidemic dynamics plays an important role in studying how diseases spread, predicting their...
Diseases and other contagion phenomena in nature and society can interact asymmetrically, such that ...
Records of social interactions provide us with new sources of data for understanding how interaction...
Records of social interactions provide us with new sources of data for understanding how interaction...
Records of social interactions provide us with new sources of data for understanding how interaction...