About: Letter in Response to ‘Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown’ Local Experience, National Questions. How Local is Local Enough?

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Letter in Response to ‘Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown’ Local Experience, National Questions. How Local is Local Enough?
Creator	Schwenk, Achim Rokadiya, Sakib Ahmed, Aliko Gil, Eliza Mirfenderesky, Mariyam Weller, Sophie
Source	Elsevier; Medline; PMC
abstract	covid:8e78e44edfba3af4d4878f250d7bfdda1500c855#abstract
has issue date	2020-07-23(xsd:dateTime)
bibo:doi	10.1016/j.jinf.2020.07.020
bibo:pmid	32712205
has license	no-cc
sha1sum (hex)	8e78e44edfba3af4d4878f250d7bfdda1500c855
schema:url	https://doi.org/10.1016/j.jinf.2020.07.020
resource representing a document's title	Letter in Response to ‘Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown’ Local Experience, National Questions. How Local is Local Enough?
has PubMed Central identifier	PMC7376350
has PubMed identifier	32712205
schema:publication	J Infect
resource representing a document's body	covid:8e78e44edfba3af4d4878f250d7bfdda1500c855#body_text
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