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

Genome Analysis and Visualization (6) JMIR Theme Issue: COVID-19 Special Issue (2088) Infectious Diseases (non-STD/STI) (1224) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330)

Published on in Vol 3 , No 1 (2022) :Jan-Dec

Preprints (earlier versions) of this paper are available at , first published .
A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study

A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study

A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study

Authors of this article:

Ashutosh Kumar 1 Author Orcid Image ;   Adil Asghar 1 Author Orcid Image ;   Prakhar Dwivedi 1 Author Orcid Image ;   Gopichand Kumar 1 Author Orcid Image ;   Ravi K Narayan 2 Author Orcid Image ;   Rakesh K Jha 1 Author Orcid Image ;   Rakesh Parashar 3 Author Orcid Image ;   Chetan Sahni 4 Author Orcid Image ;   Sada N Pandey 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Chen D, Randhawa G, Soltysiak M, de Souza C, Kari L, Singh S, Hill K. Mutational Patterns Observed in SARS-CoV-2 Genomes Sampled From Successive Epochs Delimited by Major Public Health Events in Ontario, Canada: Genomic Surveillance Study. JMIR Bioinformatics and Biotechnology 2022;3(1):e42243 View
  2. Kumar A, Asghar A, Singh H, Faiq M, Kumar S, Narayan R, Kumar G, Dwivedi P, Sahni C, Jha R, Kulandhasamy M, Prasoon P, Sesham K, Kant K, Pandey S. SARS-CoV-2 Omicron Variant Genomic Sequences and Their Epidemiological Correlates Regarding the End of the Pandemic: In Silico Analysis. JMIR Bioinformatics and Biotechnology 2023;4:e42700 View