| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0012681> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0021147> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0026062> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0026605> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0028905> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0086287> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0086582> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0205847> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0206082> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C0679138> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C1135929> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C4277540> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C4279931> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C4279932> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C4279933> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C4505148> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C4505149> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/34339676_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'Institute for Applied Computational Science, Harvard University, Cambridge, Massachusetts. Electronic address: neil_sehgal@g.harvard.edu.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Sehgal_Neil_K_R>
?:doi	<https://research.tib.eu/covid-19/entity/S0002-9343%2821%2900466-610.1016/j.amjmed.2021.06.032>
?:doi	S0002-9343(21)00466-610.1016/j.amjmed.2021.06.032
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	The American journal of medicine
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34339676>
?:pmid	<https://research.tib.eu/covid-19/entity/34339676>
?:pmid	34339676
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	-1.0
?:rankingScore_hIndex	-1
?:title	Impact of Vax-a-Million Lottery on COVID-19 Vaccination Rates in Ohio.
?: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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