COVID-19 Vaccine Predictions: Using Mathematical Modelling and Expert Opinions to Estimate Timelines and Probabilities of Success of COVID-19 Vaccines

GSTDTAP > 资源环境科学

	COVID-19 Vaccine Predictions: Using Mathematical Modelling and Expert Opinions to Estimate Timelines and Probabilities of Success of COVID-19 Vaccines
	Anthony McDonnell; Robert Van Exan; Steve Lloyd; Laura Subramanian; Kalipso Chalkidou; Adrian La Porta; Jiabin Li; David Reader; Julie Rosenberg; Jack Scannell; Vaughan Thomas; Rebecca Weintraub; Prashant Yadav
	2020-10-01
出版年	2020
国家	国际
领域	资源环境
英文摘要	We collected publicly available information, interviewed experts, and used our diverse range of expertise to analyse and model the COVID-19 vaccine portfolio in order to generate predictions about the vaccine portfolio's timeline.
URL	查看原文
来源平台	Center for Global Development
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/298116
专题	资源环境科学
推荐引用方式 GB/T 7714	Anthony McDonnell,Robert Van Exan,Steve Lloyd,et al. COVID-19 Vaccine Predictions: Using Mathematical Modelling and Expert Opinions to Estimate Timelines and Probabilities of Success of COVID-19 Vaccines,2020.