| Second wave of COVID-19 in India could be predicted with genomic surveillance of SARS-CoV-2 variants coupled with epidemiological data: a tool for future A Kumar, A Asghar, P Dwivedi, G Kumar, RK Narayan, RK Jha, ... medRxiv, 2021.06. 09.21258612, 2021 | 12 | 2021 |
| Demographic characteristics of SARS-CoV-2 B. 1.617. 2 (Delta) variant infections in Indian population A Kumar, A Asghar, K Raza, RK Narayan, RK Jha, A Satyam, G Kumar, ... MedRxiv, 2021.09. 23.21263948, 2021 | 11 | 2021 |
| A bioinformatics tool for predicting future COVID-19 waves based on a retrospective analysis of the second wave in India: model development study A Kumar, A Asghar, P Dwivedi, G Kumar, RK Narayan, RK Jha, ... JMIR Bioinformatics and Biotechnology 3 (1), e36860, 2022 | 6 | 2022 |
| SARS-CoV-2 omicron variant genomic sequences and their epidemiological correlates regarding the end of the pandemic: in silico analysis A Kumar, A Asghar, HN Singh, MA Faiq, S Kumar, RK Narayan, G Kumar, ... JMIR Bioinformatics and Biotechnology 4 (1), e42700, 2023 | 3 | 2023 |
| Demographic characteristics of SARS-CoV-2 B. 1.617. 2 (Delta) variant infections in Indian population. medRxiv. 2021 A Kumar, A Asghar, K Raza, RK Narayan, RK Jha, A Satyam, G Kumar, ... URL: https://www. medrxiv. org/content/10.1101/2021.09 23, v1, 0 | 3 | |
| An in silico analysis of early SARS-CoV-2 variant B.1.1.529 (Omicron) genomic sequences and their epidemiological correlates A Kumar, A Asghar, HN Singh, MA Faiq, S Kumar, RK Narayan, G Kumar, ... medRxiv, 2021.12. 18.21267908, 2021 | 2 | 2021 |
| Estimating the state of the Covid-19 epidemic curve in Mayotte during the period without vaccination S Manou-Abi, Y Slaoui, J Balicchi medRxiv, 2021.12. 30.21268571, 2022 | | 2022 |
| The shift in demographic involvement and clinical characteristics of COVID-19 from wild-type to Delta variant: A bioinformatic analysis of SARS-CoV-2 genomic sequence metadata … A Kumar, A Asghar, K Raza, RK Narayan, RK Jha, A Satyam, G Kumar, ... | | |
| Omicron variant, scripting the end of the pandemic: An in silico analysis of SARS-CoV-2 genomic sequences and their epidemiological correlates A Kumar, A Asghar, HN Singh, MA Faiq, S Kumar, RK Narayan, G Kumar, ... | | |
