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Human immunodeficiency viruses (HIVs) are two species of Lentivirus (a subgroup of retrovirus) that infect humans. Over time, they cause acquired immunodeficiency syndrome (AIDS), a condition in which progressive failure of the immune system allows life-threatening opportunistic infections and cancers to thrive. Without treatment, the average survival…
The analysis highlights History and Research as prominent areas in the source structure around HIV.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around HIV shows recurring relationship patterns in the source. For example, HIV → Alternatively, DNA, Due, HIV-1, HIV-2, HTLV-III, LAV, Lentivirus, Lentiviruses, Many, Once, Retroviridae, RNA, T-lymphotropic, The, Two, Upon, West Africa Another extracted example is HIV → Both HIV-1, Cameroon, Cercocebus, Côte, HIV-1, HIV-2, Ivoire, New World, Old World, Pan, Senegal, SIV, SIVcpz, SIVsmm, The, West Africa, West-central Africa. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
virus viral hiv-1 cell rna infection cells aids cd4 two infected genome hiv-2 dna may also recombination transmission macrophages host
TTTA extracted 118 structured relationships around HIV. Examples in this analysis include HIV → is a → sexually transmitted infection and is transmitted by contact with or transfer of blood and HIV → is a → repair process. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| HIV | is a | sexually transmitted infection and is transmitted by contact with or transfer of blood | 0.90 | text |
| HIV | is a | repair process | 0.90 | text |
| reverse transcriptase | instance of | and enzymes needed for the development of the virion | 0.80 | text |
| proteases | instance of | and enzymes needed for the development of the virion | 0.80 | text |
| ribonuclease | instance of | and enzymes needed for the development of the virion | 0.80 | text |
| integrase | instance of | and enzymes needed for the development of the virion | 0.80 | text |
| CD4 | instance of | HIV can infect a variety of immune cells | 0.80 | text |
| DC-SIGN can also be used | instance of | but another route using mannose-specific C-type lectin receptors | 0.80 | text |
| rhesus or cynomologus macaques | instance of | or similar hosts | 0.80 | text |
| the owl monkey are resistant to HIV-1 infection | instance of | New World monkeys | 0.80 | text |
| possibly because of a genomic fusion of two viral resistance genes.HIV-1 is thought to have jumped the species barrier on at least three separate occasions | instance of | New World monkeys | 0.80 | text |
| giving rise to the three groups of the virus | instance of | New World monkeys | 0.80 | text |
The concept neighborhoods around HIV bring nearby vocabulary together. In this analysis, examples include Cells, Infection and Virus. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For HIV, one of the stronger structural bridges in this analysis connects HIV with Virology. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around HIV to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Research, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — HIV · EN edition · Analysis: TopicsToTalkAbout