This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) Outbreak and Pandemic Preparedness and Management (1743)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20341, first published .
COVID-19 in India: Statewise Analysis and Prediction

COVID-19 in India: Statewise Analysis and Prediction

COVID-19 in India: Statewise Analysis and Prediction

Authors of this article:

Palash Ghosh1, 2 Author Orcid Image ;   Rik Ghosh1 Author Orcid Image ;   Bibhas Chakraborty3, 4, 5 Author Orcid Image
Article Authors Cited by (56) Tweetations (8) Metrics

Palash Ghosh   1, 2 , PhD ;   Rik Ghosh   1 , MSc ;   Bibhas Chakraborty   3, 4, 5 , PhD

1 Department of Mathematics, Indian Institute of Technology, Guwahati, India

2 Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore, Singapore

3 Centre for Quantitative Medicine & Programme in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore, Singapore

4 Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore

5 Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States

Corresponding Author:

  • Bibhas Chakraborty, PhD
  • Centre for Quantitative Medicine & Programme in Health Services and Systems Research
  • Duke-National University of Singapore Medical School
  • 8 College Road
  • Singapore, 169857
  • Singapore
  • Phone: 65 6576 7377
  • Email: bibhas.chakraborty@duke-nus.edu.sg