About: Data-driven modelling and prediction of COVID-19 infection in India and correlation analysis of the virus transmission with socio-economic factors   Goto Sponge  NotDistinct  Permalink

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

AttributesValues
type
isDefinedBy
title
  • Data-driven modelling and prediction of COVID-19 infection in India and correlation analysis of the virus transmission with socio-economic factors
Creator
  • Kumar, Amit
  • Kumar, Rahul
  • Purohit, Soumya
  • Rani, Poonam
  • Ranjan Purohit, Soumya
  • Sharma, Vasudha
source
  • Elsevier; Medline; PMC
abstract
has issue date
bibo:doi
  • 10.1016/j.dsx.2020.07.008
bibo:pmid
  • 32683321
has license
  • no-cc
sha1sum (hex)
  • 3ed54ee263bdef54b8aa304e3d1c4e6cbe92426a
schema:url
resource representing a document's title
has PubMed Central identifier
  • PMC7347321
has PubMed identifier
  • 32683321
schema:publication
  • Diabetes Metab Syndr
resource representing a document's body
is schema:about of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software