id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-355267-ndzgxk0k	Kassa, Semu M.	Analysis of the mitigation strategies for COVID-19: from mathematical modelling perspective	2020-06-05		.txt	text/plain	8616	451	54	Whereas knowledge of the virus dynamics and host response are essential for formulating strategies for antiviral treatment, vaccination, and epidemiological control of COVID-19, estimation of changes in transmission over time can provide insights into the epidemiological situation and help to identify whether public health control measures are having a measurable effect [5, 39] . Applying the above described set of assumptions in the bounds for some of the parameters, we optimized the model output to fit the daily new cases data reported from the Hubei province, China. Analysis of the mitigation strategies for COVID-19 Figure 11 : Dynamics of the disease with at most 10% of the population in the class and at least 50% of the class are detected and quarantined just after Phase 1 period, with strict social distancing rule imposed for 11 weeks.	./cache/cord-355267-ndzgxk0k.txt	./txt/cord-355267-ndzgxk0k.txt