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

Genome Analysis and Visualization (15) JMIR Theme Issue: COVID-19 Special Issue (2493) Infectious Diseases (non-STD/STI) (1655) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530)

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

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2021.06.09.21258612v3, 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 Kumar1 Author Orcid Image ;   Adil Asghar1 Author Orcid Image ;   Prakhar Dwivedi1 Author Orcid Image ;   Gopichand Kumar1 Author Orcid Image ;   Ravi K Narayan2 Author Orcid Image ;   Rakesh K Jha1 Author Orcid Image ;   Rakesh Parashar3 Author Orcid Image ;   Chetan Sahni4 Author Orcid Image ;   Sada N Pandey5 Author Orcid Image
Article Authors Cited by (7) 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
  3. Naphade P, Singh P, Rao P, Rohatgi S, Chaudhury S, Jadhav S, Nirhale S. Psychiatric Symptoms and Fatigue in COVID-19 Survivors. Cureus 2023 View
  4. Jang Y, Wu H, Hsu Y, Chen Y, Chiou H, Sytwu H, Chen W, Tsou H. Beyond the waves: Unraveling pandemic outcomes with genomic insights and immunity analysis – Evidence from 14 countries. Preventive Medicine 2024;178:107820 View
  5. Zou D, Zhou S, Liao Y, Wang L. Spatiotemporal Variations of COVID-19 Variants in 100 Countries: Exploring Spatial Patterns and Time-Lag Effects. Annals of the American Association of Geographers 2024;114(6):1156 View
  6. Kumar A, Asghar A, Raza K, Narayan R, Jha R, Satyam A, Kumar G, Dwivedi P, Sahni C, Kumari C, Kulandhasamy M, Motwani R, Kaur G, Krishna H, Kumar S, Sesham K, Pandey S, Parashar R, Kant K. Shift in Demographic Involvement and Clinical Characteristics of COVID-19 From Wild-Type SARS-CoV-2 to the Delta Variant in the Indian Population: In Silico Analysis. Interactive Journal of Medical Research 2024;13:e44492 View

Books/Policy Documents

  1. Asraf S, Nagaraj P, Muneeswaran V. Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis. View