Your browser doesn't support javascript.
loading
Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms.
Ray, Debashree; Salvatore, Maxwell; Bhattacharyya, Rupam; Wang, Lili; Du, Jiacong; Mohammed, Shariq; Purkayastha, Soumik; Halder, Aritra; Rix, Alexander; Barker, Daniel; Kleinsasser, Michael; Zhou, Yiwang; Bose, Debraj; Song, Peter; Banerjee, Mousumi; Baladandayuthapani, Veerabhadran; Ghosh, Parikshit; Mukherjee, Bhramar.
Affiliation
  • Ray D; Department of Epidemiology, Johns Hopkins University.
  • Salvatore M; Department of Biostatistics, Johns Hopkins University.
  • Bhattacharyya R; Department of Biostatistics, University of Michigan.
  • Wang L; Center for Precision Health Data Science, University of Michigan.
  • Du J; Department of Biostatistics, University of Michigan.
  • Mohammed S; Department of Biostatistics, University of Michigan.
  • Purkayastha S; Department of Biostatistics, University of Michigan.
  • Halder A; Center for Precision Health Data Science, University of Michigan.
  • Rix A; Department of Biostatistics, University of Michigan.
  • Barker D; Department of Computational Medicine and Bioinformatics, University of Michigan.
  • Kleinsasser M; Department of Biostatistics, University of Michigan.
  • Zhou Y; Department of Statistics, University of Connecticut.
  • Bose D; Department of Biostatistics, University of Michigan.
  • Song P; Center for Precision Health Data Science, University of Michigan.
  • Banerjee M; Department of Biostatistics, University of Michigan.
  • Baladandayuthapani V; Department of Biostatistics, University of Michigan.
  • Ghosh P; Department of Biostatistics, University of Michigan.
  • Mukherjee B; Department of Biostatistics, University of Michigan.
Harv Data Sci Rev ; 2020(Suppl 1)2020.
Article in En | MEDLINE | ID: mdl-32607504
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Harv Data Sci Rev Year: 2020 Document type: Article
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Harv Data Sci Rev Year: 2020 Document type: Article