id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-262646-64ldtrjf	Chuang, Pei-Hung	A dynamic estimation of the daily cumulative cases during infectious disease surveillance: application to dengue fever	2010-05-27		.txt	text/plain	4148	198	55	This study proposes a dynamic statistical model to estimate the daily number of new cases and the daily cumulative number of infected cases, which was then applied to historic dengue fever data. Our results show that when an infectious disease required a time-consuming process for diagnosis, such as the dengue fever using the previously mentioned protocol, the actual daily number of infected cases and cumulative positive cases are potentially underestimated. The Figure 3 and Table 1 for cumulative cases showed that a gamma distribution is a more appropriate assumption for the onset-todiagnosis time when estimating the probability of being a positive case using the dengue fever example; nonetheless, the difference between the gamma and the nonparametric method is again only slight except towards the end stage of the epidemic after January 1. This study has proposed a statistical method that more accurately estimates the real-time daily new cases and daily cumulative number of infected cases using a dengue fever epidemic as an example.	./cache/cord-262646-64ldtrjf.txt	./txt/cord-262646-64ldtrjf.txt