id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-307133-bm9z8gss	Kong, Lingcai	Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model	2016-02-24		.txt	text/plain	4611	247	48	Finally, we calibrated the model with the number of daily cases of severe acute respiratory syndrome (SARS) in Beijing in 2003, and the estimated parameters show that the control measures taken at that time were effective. A low level of heterogeneity results in dynamics similar to those predicted by the homogeneous-mixing model with a frequency-dependent transmission term, βSI N . The greatest difference is that at the overall level, the heterogeneity slows the transmission speed and decreases the peak sizes, which means milder disease outbreaks, because in the scenario with a high level of heterogeneity, only a small proportion of susceptible individuals have chances of coming into contact with infectious individuals and becoming infected, which results in a slower increase of the infected population. Our results show that, keeping other conditions identical, the higher is the level of heterogeneity in contact rates, the greater is the difference in the disease dynamics observed from those predicted using the homogeneous-mixing models.	./cache/cord-307133-bm9z8gss.txt	./txt/cord-307133-bm9z8gss.txt