We study the statistical properties of SIR epidemics in random networks, when an epidemic is defined as only those SIR propagations that reach or exceed a minimum size s c . Using percolation theory to calculate the average fractional size M SIR of an epidemic, we find that the strength of the spann
Effects of superspreaders in spread of epidemic
โ Scribed by Ryo Fujie; Takashi Odagaki
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 342 KB
- Volume
- 374
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
โฆ Synopsis
Within the standard SIR model with spatial structure, we propose two models for the superspreader. In one model, superspreaders have intrinsically strong infectiousness. In other model, they have many social connections. By Monte Carlo simulation, we obtain the percolation probability, the propagation speed, the epidemic curve, the distribution of secondary infected and the propagation path as functions of population and the density of superspreaders. By comparing the results with the data of SARS in Singapore 2003, we conclude that the latter model can explain the observation.
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We present a simple epidemic model representing the spread of a communicable disease in a spatially extended host population. The model falls into the general class of techniques which utilise lattice based simulation as a way of incorporating spatial effects. The factors relating to the persistence
## Abstract Similar to many other naturally transformable bacteria, __Neisseria meningitidis__ has yielded many examples where horizontal genetic exchange has resulted in genetic variation of individual strains. Epidemic strains are purified of genetic variants due to bottlenecks during the spread