| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C0009450> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C1615608> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C4704771> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C4704772> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C4704773> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/34802266_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'School of Data Science, City University of Hong Kong, Hong Kong SAR, People\'s Republic of China.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Zhang_Qingpeng>
?:doi	<https://research.tib.eu/covid-19/entity/10.1098/rsta.2021.0115>
?:doi	10.1098/rsta.2021.0115
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article> <https://research.tib.eu/covid-19/entity/Review>
?:journal	Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34802266>
?:pmid	<https://research.tib.eu/covid-19/entity/34802266>
?:pmid	34802266
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	-1.0
?:rankingScore_hIndex	-1
?:title	Data science approaches to infectious disease surveillance.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2022

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