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Apart from differences in epidemic models, our objective is to minimize the final size distribution of rumors spread and the negative social effects with rumor spreading in emergency event.
The non-linear nature of connectivity in networks means that small differences in concurrency can create large differences in epidemic potential and thus tremendous opportunities for prevention.
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In a simulation study based on the same data, the concurrency differences were found to explain nearly two-thirds of the racial difference in epidemic potential [11].
We found few differences in predicted epidemic dynamics based on time of year (i.e. mix of adult and young waterfowl in the population; Fig. 1B and C).
Regional differences in the epidemic cannot therefore be further assessed.
Results in Figure 5B show that the differences in the epidemic size tend to be stable from North to South, and to decrease with increasing population size and increased airport traffic.
A special study on socioeconomic factors attached to the national survey further disclosed that the differences in the epidemic of TB mainly originated from the economic inequalities among the 4 zones.
An open question is how small the size of networks can be for significant differences in the epidemic threshold among network structures to be present (for a given number of network replicates).
The higher transmission rate observed during the fall pandemic wave compared with the spring wave (inferred from differences in the epidemic growth rate) was expected and is consistent with the seasonal trend in transmission rates that was observed for seasonal influenza (21).
Differences in disease epidemics among the three groups were confirmed by intercept and disease progress rates of linearized models.
Majority of respondents (92.1%) associated malaria transmission with mosquito bites with no significant differences in responses between epidemic and non-epidemic villages (p = 0.349).
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