| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0008115> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0012652> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0021515> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0024683> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0026350> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0037186> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0039778> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0086272> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C0876936> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C1615608> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/34117853_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases，Zhejiang University，Hangzhou 310003，China.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Cao_Shuyin> <https://research.tib.eu/covid-19/entity/Chen_Chen> <https://research.tib.eu/covid-19/entity/Hu_Kejia> <https://research.tib.eu/covid-19/entity/Jia_Junlin> <https://research.tib.eu/covid-19/entity/Lei_Hao> <https://research.tib.eu/covid-19/entity/Li_Shu> <https://research.tib.eu/covid-19/entity/Sten_H_Vermund> <https://research.tib.eu/covid-19/entity/Wang_Qinchuan> <https://research.tib.eu/covid-19/entity/Wang_Sicong> <https://research.tib.eu/covid-19/entity/Wang_Sisi> <https://research.tib.eu/covid-19/entity/Wu_Xifeng> <https://research.tib.eu/covid-19/entity/Xu_Xiaolin> <https://research.tib.eu/covid-19/entity/Xu_Zhengping> <https://research.tib.eu/covid-19/entity/Ye_Yuanqing> <https://research.tib.eu/covid-19/entity/Ying_Zhijun> <https://research.tib.eu/covid-19/entity/Yuan_Changzheng>
?:doi	<https://research.tib.eu/covid-19/entity/10.3724/zdxbyxb-2021-0043>
?:doi	10.3724/zdxbyxb-2021-0043
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34117853>
?:pmid	<https://research.tib.eu/covid-19/entity/34117853>
?:pmid	34117853
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	0.142
?:rankingScore_hIndex	10
is ?:relation_isRelatedTo_publication of	<https://research.tib.eu/covid-19/entity/C0745283_PROCESS_OF_C0030705>
?:title	Predicting COVID-19 epidemiological trend by applying population mobility data in two-stage modeling.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2021

Metadata

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