气候变化领域集成服务门户(CCPortal): Reply to Kusmierz and Toyoizumi: A network-based explanation of why most COVID-19 infection curves are linear

CCPortal

DOI	10.1073/pnas.2100906118
	Reply to Kusmierz and Toyoizumi: A network-based explanation of why most COVID-19 infection curves are linear
	Thurner S.; Klimek P.; Hanel R.
发表日期	2021
ISSN	00278424
卷号	118 期号:10
英文摘要	[无可用摘要]
语种	英语
scopus关键词	human; COVID-19; Humans; SARS-CoV-2
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180424
作者单位	Section for Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, A-1090, Austria; Complexity Science Hub Vienna, Vienna, A-1080, Austria; Santa Fe Institute, Santa Fe, NM 85701, United States
推荐引用方式 GB/T 7714	Thurner S.,Klimek P.,Hanel R.. Reply to Kusmierz and Toyoizumi: A network-based explanation of why most COVID-19 infection curves are linear[J],2021,118(10).
APA	Thurner S.,Klimek P.,&Hanel R..(2021).Reply to Kusmierz and Toyoizumi: A network-based explanation of why most COVID-19 infection curves are linear.Proceedings of the National Academy of Sciences of the United States of America,118(10).
MLA	Thurner S.,et al."Reply to Kusmierz and Toyoizumi: A network-based explanation of why most COVID-19 infection curves are linear".Proceedings of the National Academy of Sciences of the United States of America 118.10(2021).