id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-251070-gxqg494t	Diouf, Massamba	Logistic growth model and modeling of factors for community case transmission	2020-11-05		.txt	text/plain	2339	149	64	We estimate parameters and evaluate the growth factor, community rate, weekly increase and daily difference, and make forecasting to help on how to find concrete actions to control the situation. The objective of this work is to model the variables potentially involved in the spread of cases resulting from community transmission of COVID-19 in Senegal in order to identify statistical associations. Here, we give forecasting pandemic size of community cases for Senegal and daily predictions using the logistic model. Variables such as community rate, growth factor, daily difference (daily variations) and weekly increase (number of cumulative cases per week) were defined to better understand the dynamics of the development of community cases in Senegal. In this section, we a perform forecast with the logistics model ( [9, 10, 11] ) to predict the final size of coronavirus epidemy, for community cases in Senegal.	./cache/cord-251070-gxqg494t.txt	./txt/cord-251070-gxqg494t.txt