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相关概念视频

Viral Mutations00:36

Viral Mutations

32.4K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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Viral Recombination00:57

Viral Recombination

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Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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Cross-reactivity00:42

Cross-reactivity

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Overview
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Retroviruses02:33

Retroviruses

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Retroviruses and retrotransposons both insert copies of their genetic elements into the genome of the host cell. Thus, the viral genes are passed on when the host genome is replicated or translated. A typical retroviral DNA sequence contains 3-4 genes that encode the different proteins required for its structural assembly and function as a molecular parasite. This DNA is transcribed into a single mRNA, which is very similar in structure to conventional mRNAs, i.e., it is capped at the 5’...
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Group Polarization01:01

Group Polarization

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Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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相关实验视频

Updated: Jul 11, 2025

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 1
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Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 1

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在推特上公众对的看法:主题分析.

Abimbola Leslie1, Omolola Okunromade2, Abeed Sarker3

  • 1Department of Radiology, Robert Larner College of Medicine, University of Vermont, Burlington, VT, United States.

JMIR formative research
|November 3, 2023
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概括
此摘要是机器生成的。

对 (mpox) 讨论的社交媒体分析显示,公众的怀疑和媒体报道最为普遍. 实时监控这些在线对话可以帮助在疫情期间打击错误信息.

关键词:
他们的推特是Twitter.进行分析,分析.提高认识 提高意识数字平台数字平台的平台.传染病是一种传染性疾病.错误的信息 错误的信息这就是麻疹.疫情爆发的原因是感知 感知 感知 感知公共卫生公共卫生.社交媒体 社交媒体

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Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3
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相关实验视频

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科学领域:

  • 公共卫生监督是对公共卫生的监督.
  • 流行病学 流行病学
  • 社交媒体分析.

背景情况:

  • 在疾病爆发期间,社交媒体是重要的信息来源.
  • 2022年 (mpox) 疫情引发了大量的在线讨论.
  • 这项研究利用社交媒体数据来了解mopox.com上的公共话语.

研究的目的:

  • 分析公众关于 (mpox) 病毒的言论,知识和意见.
  • 为了确定2022年爆发期间在Twitter (X) 上讨论的关键主题和话题.

主要方法:

  • 从2022年8月到10月收集了128,615条英语tweet,其中提到""或"mpoxvirus".
  • 利用自然语言处理进行数据预处理和降噪.
  • 由三位注释者手动编码200条推文的随机样本,分为8个不同的主题.

主要成果:

  • 八个主题出现了:水的怀疑,媒体,传播,影响,知识,政治,疫苗和一般评论.
  • 麻疹怀疑和媒体报道是最常见的主题,每个主题占分析帖子的22%.
  • 话语包括关于 (mpox) 病毒的准确信息和普遍的错误信息.

结论:

  • 推特 (X) 是在传染病爆发期间实时监测公众情绪的宝贵工具.
  • 及时识别和分析社交媒体上的错误信息对于公共卫生反应至关重要.
  • 社交媒体数据可以为公共卫生战略和流行病期间的干预提供信息.