List of contributors |
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xxi | |
Foreword |
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xxiii | |
Preface |
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xxv | |
Acknowledgments |
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xxvii | |
1 Lessons learned from the first pandemic of the 21st century, global experience, recommendations, and future directions |
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1 | (10) |
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Divi Venkata Ramana Sai Gopal |
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1 | (2) |
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1.2 First pandemic of the 21st century, severe acute respiratory syndrome |
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3 | (3) |
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1.2.1 Structure of SARS-CoV |
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3 | (1) |
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1.2.2 SARS-COV: mechanism of action |
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3 | (2) |
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5 | (1) |
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6 | (1) |
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7 | (1) |
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7 | (4) |
2 Epidemiology of COVID-19 in Latin America |
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11 | (14) |
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Alfonso J. Rodriguez-Morales |
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D. Katterine Bonilla-Aldana |
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11 | (1) |
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2.2 Previous epidemiological situation of major infectious diseases in Latin America |
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12 | (1) |
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2.3 COVID-19 arrival at Latin America |
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13 | (2) |
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2.4 Genomic and molecular epidemiology of COVID-19 in Latin America |
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15 | (2) |
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2.5 Emerging situations during the COVID-19 pandemic in Latin America: coinfections and reinfections |
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17 | (1) |
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2.6 Health care workers infections due to SARS-CoV-2 |
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17 | (1) |
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2.7 Pharmacoepidemiology of the therapeutic approaches in the region |
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18 | (1) |
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2.8 Epidemiology of the vaccinations against COVID-19 in Latin America |
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18 | (1) |
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19 | (1) |
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20 | (1) |
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20 | (1) |
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20 | (5) |
3 Biology, prevention, and treatment of SARS-CoV-2 (COVID-19) |
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25 | (18) |
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25 | (1) |
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25 | (1) |
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3.3 SARS-CoV-2 evolution and genomic analyses |
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26 | (1) |
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3.4 Molecular biology of SARS-CoV-2 |
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27 | (3) |
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3.5 Tissue tropism and molecular pathogenesis of SARS-CoV-2 |
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30 | (1) |
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30 | (1) |
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3.7 Gastrointestinal system |
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31 | (1) |
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31 | (1) |
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3.9 Cardiovascular system |
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32 | (1) |
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33 | (1) |
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34 | (2) |
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3.11.1 Contact and droplet transmission |
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34 | (1) |
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3.11.2 Airborne transmission |
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35 | (1) |
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3.11.3 Fomite transmission |
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35 | (1) |
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3.11.4 Fecal-oral transmission |
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35 | (1) |
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3.11.5 Other modes of transmission |
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35 | (1) |
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3.12 Prevention and treatment |
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36 | (3) |
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36 | (1) |
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36 | (2) |
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3.12.3 Immune-based therapy |
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38 | (1) |
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3.12.4 Adjunctive therapy |
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39 | (1) |
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39 | (4) |
4 Avian influenza A virus infections in humans: current knowledge to enhance host innate immunity to control Avian influenza |
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43 | (14) |
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43 | (1) |
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43 | (1) |
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44 | (1) |
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4.4 Exposure risk factors to humans |
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45 | (1) |
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46 | (2) |
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4.5.1 Viral replication in host |
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46 | (2) |
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4.6 Innate immunity and adaptive immunity |
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48 | (2) |
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50 | (1) |
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4.8 Clinical findings in H5N1 infection |
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50 | (1) |
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4.9 Detection of Avian influenza |
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50 | (2) |
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51 | (1) |
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4.9.2 Electrical biosensors |
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51 | (1) |
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51 | (1) |
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4.9.4 Enzymatic biosensors |
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51 | (1) |
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52 | (1) |
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4.9.6 Whole-cell biosensors |
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52 | (1) |
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52 | (1) |
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52 | (1) |
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52 | (1) |
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52 | (5) |
5 Swine-origin influenza A (H1N1) virus: current status, threats, and challenges |
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57 | (30) |
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57 | (1) |
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5.2 Genome, structure, and functions |
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58 | (3) |
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59 | (1) |
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59 | (1) |
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59 | (1) |
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60 | (1) |
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5.2.5 Trafficking to the host cell nucleus |
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60 | (1) |
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5.2.6 Replication and transcription |
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60 | (1) |
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5.2.7 Host-cell translation of vmRNAs |
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61 | (1) |
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5.2.8 Packaging of RNA and assembly of virus |
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61 | (1) |
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5.2.9 Virus budding and release |
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61 | (1) |
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61 | (3) |
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5.3.1 Origin of "2009 swine flu" or "A (H1N1) p09" |
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61 | (1) |
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5.3.2 Incidence and mortality |
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62 | (2) |
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64 | (2) |
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64 | (1) |
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5.4.2 Infectious versus incubation period |
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64 | (1) |
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65 | (1) |
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66 | (1) |
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66 | (3) |
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5.5.1 Diagnostics of H1 N1 swine flu (pdm09) |
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66 | (2) |
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5.5.2 Surveillance methods: advance and quick methods for influenza detection |
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68 | (1) |
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5.5.3 Rapid influenza detection tests |
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68 | (1) |
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5.5.4 Non-polymerase chain reaction-based RNA detection methods |
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68 | (1) |
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5.5.5 Nucleotide sequencing and phylogenetic analysis |
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68 | (1) |
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69 | (2) |
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5.7 Prevention and control |
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71 | (1) |
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71 | (1) |
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72 | (3) |
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73 | (1) |
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73 | (1) |
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5.8.3 Finding an ultimate cure for the disease |
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74 | (1) |
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74 | (1) |
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5.8.5 Importance and uses of shikimic acid |
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74 | (1) |
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5.8.6 Limitations of shikimic acid production |
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74 | (1) |
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5.8.7 Alternative approach |
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74 | (1) |
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5.9 Threats and challenges |
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75 | (4) |
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79 | (1) |
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79 | (8) |
6 Molecular mechanisms of Zika fever in inducing birth defects: an update |
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87 | (24) |
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87 | (1) |
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6.2 Molecular biology of ZIKV |
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88 | (1) |
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6.2.1 Genome organization of ZIKV |
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88 | (1) |
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6.2.2 Replication of ZIKV |
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89 | (1) |
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89 | (2) |
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6.3.1 Vector-borne transmission |
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89 | (1) |
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6.3.2 Nonvector transmission |
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90 | (1) |
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6.4 Clinical manifestations associated with ZIKV infection |
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91 | (1) |
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6.5 Molecular mechanisms underlying ZIKV-induced birth defects |
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92 | (10) |
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6.5.1 Cellular targets and entry of ZIKV |
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92 | (1) |
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6.5.2 Induction and suppression of innate immune mechanisms mediated by ZI KV |
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93 | (3) |
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6.5.3 ZIKV-mediated mechanisms to induce congenital Zika syndrome |
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96 | (6) |
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102 | (1) |
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103 | (1) |
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103 | (8) |
7 Middle East respiratory syndrome: outbreak response priorities, treatment strategies, and clinical management approaches |
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111 | (12) |
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Pandeeti Emmanuel Vijay Paul |
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111 | (1) |
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112 | (1) |
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7.3 Ecology and spreading of MERS-CoV virus |
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113 | (1) |
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7.4 Virus structure and life cycle |
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113 | (2) |
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7.5 Molecular mechanisms of pathogenesis |
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115 | (1) |
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7.6 Immune responses to MERS infection |
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116 | (1) |
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7.7 MERS-initial and postinfection manifestations |
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116 | (1) |
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7.8 Outbreak response priorities |
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117 | (1) |
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117 | (1) |
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117 | (1) |
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7.11 Treatment strategies |
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118 | (1) |
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7.12 Clinical management approaches |
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118 | (1) |
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7.12.1 Prevention and control of MERS |
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118 | (1) |
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7.13 Summary and future prospective |
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119 | (1) |
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119 | (4) |
8 Advances in vaccination to combat pandemic outbreaks |
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123 | (16) |
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123 | (1) |
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8.2 Human immunodeficiency virus/acquired immunodeficiency syndrome |
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124 | (1) |
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124 | (1) |
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124 | (1) |
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125 | (1) |
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8.6 Severe acute respiratory syndrome |
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125 | (1) |
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125 | (1) |
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8.8 Middle East respiratory syndrome coronavirus |
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126 | (1) |
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127 | (1) |
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8.10 Evolution of vaccine technologies |
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127 | (1) |
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8.11 Box 1: ideal characteristics of a vaccine |
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128 | (1) |
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8.12 Box 2: strategies for the development of vaccines |
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128 | (1) |
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8.13 Viral vector-based vaccines |
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129 | (1) |
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129 | (1) |
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8.15 Poxviruses as vaccine vector |
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129 | (1) |
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8.16 Frontrunners in COVID-19 vaccine race |
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129 | (1) |
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8.17 Vector-based vaccines come to the fore in the COVID-19 pandemic |
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130 | (4) |
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134 | (1) |
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134 | (5) |
9 Pandemics of the 21st century: lessons and future perspectives |
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139 | (20) |
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Hunasanahally Puttaswamygowda Gurushankara |
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9.1 The legacy of an epidemic and pandemic |
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139 | (1) |
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9.2 Origin of communicable diseases |
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139 | (16) |
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9.2.1 Clio-epidemiology to neo- epidemiology |
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140 | (1) |
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9.2.2 The worst diseases outbreaks in history |
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140 | (1) |
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9.2.3 Prehistoric pandemic |
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141 | (1) |
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141 | (1) |
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141 | (1) |
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142 | (1) |
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143 | (2) |
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145 | (1) |
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146 | (1) |
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9.2.10 Lessons learned from Ebola outbreaks |
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147 | (1) |
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147 | (1) |
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148 | (1) |
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149 | (1) |
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149 | (1) |
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150 | (1) |
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150 | (5) |
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9.2.17 Future perspectives |
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155 | (1) |
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155 | (4) |
10 Immunological mechanisms associated with clinical features of Ebola virus disease and its control and prevention |
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159 | (26) |
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Nayaka Boramuthi Thippeswamy |
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159 | (1) |
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159 | (2) |
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10.2.1 Ecology and spreading of Ebola virus |
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160 | (1) |
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161 | (1) |
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162 | (1) |
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10.5 Molecular mechanisms of Ebola pathogenesis |
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162 | (5) |
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10.5.1 Dysregulation of the innate immune response during Ebola infection |
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162 | (1) |
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10.5.2 Subversion of IFN-induced signaling by EBOV |
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163 | (2) |
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10.5.3 Degradation of IRF3 and IRF7 by VP35-mediated SUMOylation |
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165 | (2) |
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10.5.4 VP24 inhibits KPNA-mediated IFN response signaling |
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167 | (1) |
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10.6 Adaptive immune response during EBOV infection |
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167 | (3) |
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10.6.1 Dysregulation of the adaptive immune response |
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169 | (1) |
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10.7 Vascular permeability and coagulation defects |
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170 | (2) |
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10.7.1 EBOLA-postinfection manifestation |
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171 | (1) |
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172 | (1) |
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172 | (1) |
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173 | (2) |
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10.11 Prevention and control of EVD |
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175 | (1) |
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175 | (1) |
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176 | (1) |
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176 | (9) |
11 SARS-CoV-2-host cell interactions and pathways: understanding its physiology, pathology, and targeted drug therapy |
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185 | (26) |
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185 | (1) |
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186 | (2) |
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11.2.1 History and epidemiology |
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186 | (1) |
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11.2.2 Transmission and course of infection |
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187 | (1) |
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187 | (1) |
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11.2.4 SARS-CoV-2 association with other comorbidities |
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188 | (1) |
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11.3 The molecular biology of SARS-CoV-2 |
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188 | (6) |
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11.3.1 Overview of SARS-CoV-2 replication cycle |
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188 | (6) |
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11.4 Identifying SARS-CoV-2 host cell interface, host dependency factors and cytokine storm: high-throughput and low-throughput approaches |
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194 | (6) |
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11.4.1 Requirement of host factors for SARS-CoV-2 life cycle |
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194 | (1) |
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11.4.2 Analysis of the viral transcriptome of SARS-CoV-2 |
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194 | (2) |
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11.4.3 Identification of virus-host proteome and interactome using high-throughput technologies |
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196 | (1) |
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11.4.4 Identification of virus-host dependency factors using CRISPR/ Cas9 technology |
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196 | (1) |
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11.4.5 Identification of host factors in COVID-19 patient samples |
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197 | (1) |
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11.4.6 Cytokine storm and COVID-19 |
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198 | (1) |
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11.4.7 Chemical compounds virtual screening |
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198 | (2) |
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11.5 Host cell factors and viral proteins as target for antiviral agents |
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200 | (4) |
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11.5.1 Viral life cycle as drug targets |
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200 | (1) |
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11.5.2 Virus-based targets |
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201 | (1) |
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11.5.3 Host-based druggable targets |
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202 | (2) |
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204 | (1) |
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204 | (7) |
12 Importance of in silico studies on the design of novel drugs from medicinal plants against 21st-century pandemics: past, present, and future |
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211 | (14) |
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211 | (1) |
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12.2 Pandemic outbreaks of 21st century |
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212 | (2) |
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12.2.1 Severe acute respiratory syndrome |
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213 | (1) |
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213 | (1) |
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12.2.3 The Middle East respiratory syndrome |
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213 | (1) |
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213 | (1) |
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12.2.5 Ebola virus disease |
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214 | (1) |
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214 | (1) |
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214 | (1) |
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12.3 Plant-derived compounds as source of drugs to treat pandemics |
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214 | (2) |
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12.3.1 Plant-derived antiviral compounds as therapeutics for coronaviruses (SARS, MERS, SARS-CoV-2) |
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214 | (2) |
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12.3.2 Plant-derived compounds as antiviral drugs for influenza viruses (swine flu and Avian flu) |
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216 | (1) |
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12.3.3 Antiviral activity of plant-derived compounds against Ebola and Zika viruses |
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216 | (1) |
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12.4 Computational approaches in identifying novel drugs using plant-derived compounds |
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216 | (4) |
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12.4.1 In silico screening of plant-derived antiviral compounds against pandemics of the 21st century |
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218 | (1) |
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218 | (1) |
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12.4.3 Swine flu and Avian flu |
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219 | (1) |
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12.4.4 Ebola virus disease |
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219 | (1) |
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219 | (1) |
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220 | (1) |
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12.5 Future prospective and limitations of in silico studies |
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220 | (1) |
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221 | (1) |
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221 | (1) |
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221 | (4) |
13 Recent developments in the diagnosis of COVID-19 with micro- and nanosystems |
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225 | (10) |
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225 | (1) |
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13.2 SARS CoV-19 structure |
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226 | (1) |
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13.3 Micro- and nanosystems for the diagnosis of COVID-19 |
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226 | (4) |
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13.4 Limitations and future prospectus |
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230 | (1) |
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231 | (1) |
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231 | (1) |
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231 | (1) |
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232 | (3) |
14 Recent trends in the development of vaccine technologies to combat pandemic outbreaks and challenges |
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235 | (10) |
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235 | (1) |
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14.2 Pandemic outbreaks and challenges in vaccine development |
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235 | (2) |
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14.3 Vaccine technologies and its types |
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237 | (4) |
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14.3.1 Viral vector vaccines |
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238 | (1) |
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14.3.2 Viral-like particles |
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239 | (1) |
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14.3.3 Nucleic acid vaccine |
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240 | (1) |
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14.4 Challenges in the success of vaccination toward pandemic outbreaks |
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241 | (1) |
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14.5 Conclusion and future perspectives |
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241 | (1) |
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242 | (1) |
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242 | (3) |
15 Could repurposing existing vaccines and antibiotics help to control the COVID-19 pandemic? |
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245 | (12) |
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245 | (1) |
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15.1.1 An upsurge of SARS CoV-2 |
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246 | (1) |
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15.2 Genome of coronavirus |
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246 | (1) |
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247 | (1) |
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247 | (1) |
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15.5 Therapeutic options for COVID-19 management |
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247 | (3) |
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15.5.1 Repurposed drugs that act through virus-related targets such as RNA genome |
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248 | (1) |
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15.5.2 Repurposed drugs acting through polypeptide packing |
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248 | (1) |
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15.5.3 Repurposed drugs acting through host target such as antiviral immunity |
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248 | (1) |
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15.5.4 Repurposed drugs targeting the virus uptake pathways |
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249 | (1) |
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15.5.5 Drugs acting on host pro-inflammatory cytokines |
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249 | (1) |
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15.5.6 Others probable potential retasking agents for the treatment of COVID-19 |
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249 | (1) |
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15.6 Limitations to drug repurposing approach |
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250 | (1) |
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15.7 COVID-19 vaccination programs and repurposing of existing vaccines |
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250 | (1) |
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15.8 Evolving strains of coronavirus genome and ineffectiveness of the vaccines |
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251 | (1) |
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252 | (1) |
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252 | (1) |
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252 | (1) |
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253 | (4) |
16 Genetics of coronaviruses |
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257 | (16) |
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Shanthala Mallikarjunaiah |
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Hunasanahally Puttaswamygowda Gurushankara |
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16.1 History of coronaviruses |
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257 | (1) |
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16.2 Taxonomy of coronaviruses |
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258 | (1) |
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16.3 Naming of coronaviruses |
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258 | (2) |
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16.4 Genome of coronaviruses |
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260 | (1) |
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16.5 Coronavirus diversity |
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261 | (1) |
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16.6 Genetics of coronavirus infection |
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262 | (1) |
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16.7 Potential genes for pathogenesis of COVI D-19 |
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262 | (1) |
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16.7.1 Chromosome 3P21.31 gene locus |
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263 | (1) |
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16.8 ABO blood group genes |
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263 | (3) |
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16.8.1 Human leukocyte antigen genes |
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263 | (1) |
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16.8.2 X-chromosomal Toll-like receptor 7 gene |
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264 | (1) |
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264 | (1) |
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16.8.4 Interferon-induced transmembrane protein 3-encoding gene |
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264 | (1) |
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16.8.5 Transmembrane protein 189-ubiquitin-conjugating enzyme E2 variant 1 |
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264 | (1) |
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16.8.6 ACE2 and TMPRSS2 receptor genes |
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265 | (1) |
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16.8.7 Interferon-a, and 3 receptor subunit 2 |
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265 | (1) |
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16.8.8 2'-5' oligoadenylate synthetase family |
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265 | (1) |
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16.8.9 DPP9 and FOXP4 genes |
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266 | (1) |
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16.9 New SARS-CoV-2 variant |
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266 | (1) |
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16.10 Impact of genetics on COVID-19 treatment |
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266 | (1) |
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16.11 Future perspectives |
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267 | (1) |
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267 | (1) |
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267 | (6) |
17 Spike in electronic sports during the coronavirus disease pandemic |
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273 | (8) |
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17.1 COVID-19 pandemic, lockdown, and e-sports |
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273 | (1) |
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17.2 E-sports: an introduction and research in different academic disciplines |
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273 | (1) |
|
17.3 Effect of COVID-19 on economic growth of e-sports or gaming industry |
|
|
274 | (2) |
|
17.4 Advances in e-sports during the COVID-19 pandemic |
|
|
276 | (1) |
|
17.5 E-sports: tool for social connectedness and psychological healing in the COVID-19 pandemic |
|
|
276 | (1) |
|
17.6 E-sports: role in health and well-being during the pandemic |
|
|
277 | (1) |
|
|
278 | (3) |
18 How digital health and pandemic preparedness proved a game changer? A case of Singapore in COVID-19 management |
|
281 | (6) |
|
|
|
Hunasanahally Puttaswamygowda Gurushankara |
|
|
|
281 | (2) |
|
18.2 Digital health and COVID-19 pandemic |
|
|
283 | (1) |
|
18.3 Preparedness and leveraging digital health in COVID-19 management: a case of Singapore |
|
|
284 | (1) |
|
18.4 What was different in Singapore's response and what lessons can other countries learn? |
|
|
284 | (1) |
|
|
285 | (1) |
|
|
286 | (1) |
19 COVID-19 and its effects on neurological expressions |
|
287 | (6) |
|
|
|
|
287 | (1) |
|
19.1.1 Significance of "S" proteins in COVID-19 |
|
|
288 | (1) |
|
19.2 Routes of entry for COVID-19 into the brain |
|
|
288 | (1) |
|
19.3 Neuroinflammation and immune responses in COVID-19 |
|
|
289 | (1) |
|
19.4 Limitations for clinical performances during COVID-19 |
|
|
289 | (1) |
|
19.5 Conclusion and future prospects |
|
|
290 | (1) |
|
|
290 | (1) |
|
|
290 | (1) |
|
|
290 | (3) |
Index |
|
293 | |