id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-271514-sls3bsm0	Dean, Natalie E.	Ensemble Forecast Modeling for the Design of COVID-19 Vaccine Efficacy Trials	2020-09-15		.txt	text/plain	2501	105	36	key: cord-271514-sls3bsm0 authors: Dean, Natalie E.; Pastore y Piontti, Ana; Madewell, Zachary J.; Cummings, Derek A.T; Hitchings, Matthew D.T.; Joshi, Keya; Kahn, Rebecca; Vespignani, Alessandro; Elizabeth Halloran, M.; Longini, Ira M. title: Ensemble Forecast Modeling for the Design of COVID-19 Vaccine Efficacy Trials date: 2020-09-15 journal: Vaccine DOI: 10.1016/j.vaccine.2020.09.031 sha: doc_id: 271514 cord_uid: sls3bsm0 To rapidly evaluate the safety and efficacy of COVID-19 vaccine candidates, prioritizing vaccine trial sites in areas with high expected disease incidence can speed endpoint accrual and shorten trial duration. Selecting vaccine trial sites where disease incidence is highest during the study period can accelerate the accrual of endpoints.	cache/cord-271514-sls3bsm0.txt	txt/cord-271514-sls3bsm0.txt
