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| 001 | 177491 | ||
| 005 | 20240229133741.0 | ||
| 024 | 7 | _ | |a 10.3389/fimmu.2021.724914 |2 doi |
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| 037 | _ | _ | |a DKFZ-2021-02578 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Kaur, Arvinpreet |b 0 |
| 245 | _ | _ | |a The Omic Insights on Unfolding Saga of COVID-19. |
| 260 | _ | _ | |a Lausanne |c 2021 |b Frontiers Media |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1637243709_30274 |2 PUB:(DE-HGF) |x Review Article |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The year 2019 has seen an emergence of the novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing coronavirus disease of 2019 (COVID-19). Since the onset of the pandemic, biological and interdisciplinary research is being carried out across the world at a rapid pace to beat the pandemic. There is an increased need to comprehensively understand various aspects of the virus from detection to treatment options including drugs and vaccines for effective global management of the disease. In this review, we summarize the salient findings pertaining to SARS-CoV-2 biology, including symptoms, hosts, epidemiology, SARS-CoV-2 genome, and its emerging variants, viral diagnostics, host-pathogen interactions, alternative antiviral strategies and application of machine learning heuristics and artificial intelligence for effective management of COVID-19 and future pandemics. |
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| 650 | _ | 7 | |a COVID-19 |2 Other |
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| 650 | _ | 7 | |a SARS-CoV-2 |2 Other |
| 650 | _ | 7 | |a co-morbidities |2 Other |
| 650 | _ | 7 | |a machine learning |2 Other |
| 700 | 1 | _ | |a Chopra, Mehak |b 1 |
| 700 | 1 | _ | |a Bhushan, Mahak |b 2 |
| 700 | 1 | _ | |a Gupta, Sonal |b 3 |
| 700 | 1 | _ | |a Kumari P, Hima |b 4 |
| 700 | 1 | _ | |a Sivagurunathan, Narmadhaa |b 5 |
| 700 | 1 | _ | |a Shukla, Nidhi |b 6 |
| 700 | 1 | _ | |a Rajagopal, Shalini |b 7 |
| 700 | 1 | _ | |a Bhalothia, Purva |b 8 |
| 700 | 1 | _ | |a Sharma, Purnima |b 9 |
| 700 | 1 | _ | |a Naravula, Jalaja |b 10 |
| 700 | 1 | _ | |a Suravajhala, Renuka |b 11 |
| 700 | 1 | _ | |a Gupta, Ayam |b 12 |
| 700 | 1 | _ | |a Abbasi, Bilal Ahmed |b 13 |
| 700 | 1 | _ | |a Goswami, Prittam |b 14 |
| 700 | 1 | _ | |a Singh, Harpreet |b 15 |
| 700 | 1 | _ | |a Narang, Rahul |b 16 |
| 700 | 1 | _ | |a Polavarapu, Rathnagiri |b 17 |
| 700 | 1 | _ | |a Medicherla, Krishna Mohan |b 18 |
| 700 | 1 | _ | |a Valadi, Jayaraman |b 19 |
| 700 | 1 | _ | |a Kumar S, Anil |b 20 |
| 700 | 1 | _ | |a Chaubey, Gyaneshwer |b 21 |
| 700 | 1 | _ | |a Singh, Keshav K |b 22 |
| 700 | 1 | _ | |a Bandapalli, Obul Reddy |0 P:(DE-He78)b11ccde1801d45d32a6a60f7b396d7dc |b 23 |
| 700 | 1 | _ | |a Kavi Kishor, Polavarapu Bilhan |b 24 |
| 700 | 1 | _ | |a Suravajhala, Prashanth |b 25 |
| 773 | _ | _ | |a 10.3389/fimmu.2021.724914 |g Vol. 12, p. 724914 |0 PERI:(DE-600)2606827-8 |p 724914 |t Frontiers in immunology |v 12 |y 2021 |x 1664-3224 |
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