id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-103560-28o0bauv	Yechezkel, M.	Optimizing antiviral treatment for seasonal influenza in the United States: A Mathematical Modeling Analysis	2020-07-30		.txt	text/plain	7963	533	50	We developed an influenza transmission model that incorporates data on infectious viral load, social contact, and healthcare-seeking behavior, to evaluate the population-level impact of increasing antiviral treatment timeliness and coverage among high-risk patients in the US. We found that increasing the rate of early treatment among high-risk patients who received treatment more than 48 hours after symptoms onset, would substantially avert infections and influenza-induced hospitalizations. To evaluate the population-level impact of increased antiviral treatment coverage and timeliness of influenza-infected high-risk individuals during influenza seasons, we developed a data-driven influenza transmission model that incorporates data on infectious viral load, social contact, healthcare-seeking behavior, time to seek healthcare, and antiviral treatment. Nevertheless, for a 20% increase in influenza effective vaccination coverage among all age groups, our results suggest that the benefit of treatment remains substantial ( All rights reserved.	./cache/cord-103560-28o0bauv.txt	./txt/cord-103560-28o0bauv.txt