| Title |
Atypical viral dynamics from transport through popular places
|
|---|---|
| Published in |
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, August 2016
|
| DOI | 10.1103/physreve.94.022304 |
| Pubmed ID | |
| Authors | |
| Abstract |
The flux of visitors through popular places undoubtedly influences viral spreading-from H1N1 and Zika viruses spreading through physical spaces such as airports, to rumors and ideas spreading through online spaces such as chat rooms and social media. However, there is a lack of understanding of the types of viral dynamics that can result. Here we present a minimal dynamical model that focuses on the time-dependent interplay between the mobility through and the occupancy of such spaces. Our generic model permits analytic analysis while producing a rich diversity of infection profiles in terms of their shapes, durations, and intensities. The general features of these theoretical profiles compare well to real-world data of recent social contagion phenomena. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 17% |
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sri Lanka | 1 | 2% |
| United Kingdom | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 29% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Professor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 15% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 3 | 7% |
| Physics and Astronomy | 3 | 7% |
| Social Sciences | 3 | 7% |
| Other | 10 | 24% |
| Unknown | 12 | 29% |