Epidemiology of HIV/AIDS

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Epidemiology of HIV/AIDS topic overview

The analysis highlights Community, Research and Regions as prominent areas in the source structure around Epidemiology of HIV/AIDS.

Related topics: 98
Source areas: 4
Connected nodes: 102
Extracted relationships: 8
Related term clusters: 44
Bridge connections: 102

What this topic covers Research coverage

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.

Overview · 42 topics

By region · 41 topics

AIDS research and society · 8 topics

Global HIV data · 7 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Location: Worldwide
Confirmed cases: 73.4 million – 116.4 million (2024)
Date: 1981–present (45 years and 5 months)
Deaths: 44.1 million total deaths (2024)
Disease: HIV/AIDS
First outbreak: 5 June 1981

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Explore different angles and find fresh ideas to shape your next piece of content.

Epidemiology of HIV/AIDS

10Pandemic · HIV/AIDS · Public health

5Primate · Central Africa · Subtypes of HIV

6Centers for Disease Control and Prevention · Prevalence · Asia-Pacific

14Sex worker · Men who have sex with men · Drug injection

Explore all related topics Closing gaps

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.

Global HIV data

AIDS research and society

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Epidemiology of HIV/AIDS connects Entity context

The extracted context around Epidemiology of HIV/AIDS shows recurring relationship patterns in the source. For example, Epidemiology of HIV/AIDS → 73.4 million – 116.4 million (2024) Another extracted example is Epidemiology of HIV/AIDS → 1981–present (45 years and 5 months). Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Confirmed cases · 1

Epidemiology of HIV/AIDS → 73.4 million – 116.4 million (2024)

Date · 1

Epidemiology of HIV/AIDS → 1981–present (45 years and 5 months)

Deaths · 1

Epidemiology of HIV/AIDS → 44.1 million total deaths (2024)

Disease · 1

Epidemiology of HIV/AIDS → HIV/AIDS

First outbreak · 1

Epidemiology of HIV/AIDS → 5 June 1981

Location · 1

Epidemiology of HIV/AIDS → Worldwide

Pathogen · 1

Epidemiology of HIV/AIDS → HIV

Source · 1

Epidemiology of HIV/AIDS → Non-human primates

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

hiv aids people prevalence africa million new region infected infections women men cases world treatment 2020 also countries 000 rate

Epidemiology of HIV/AIDS relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Epidemiology of HIV/AIDS. Examples in this analysis include Epidemiology of HIV/AIDS → Confirmed cases → 73.4 million – 116.4 million (2024) and Epidemiology of HIV/AIDS → Date → 1981–present (45 years and 5 months). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Epidemiology of HIV/AIDS	Confirmed cases	73.4 million – 116.4 million (2024)	1.00	infobox
Epidemiology of HIV/AIDS	Date	1981–present (45 years and 5 months)	1.00	infobox
Epidemiology of HIV/AIDS	Deaths	44.1 million total deaths (2024)	1.00	infobox
Epidemiology of HIV/AIDS	Disease	HIV/AIDS	1.00	infobox
Epidemiology of HIV/AIDS	First outbreak	5 June 1981	1.00	infobox
Epidemiology of HIV/AIDS	Location	Worldwide	1.00	infobox
Epidemiology of HIV/AIDS	Pathogen	HIV	1.00	infobox
Epidemiology of HIV/AIDS	Source	Non-human primates	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around Epidemiology of HIV/AIDS bring nearby vocabulary together. In this analysis, examples include Hiv, People and Africa. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Epidemiology of HIV/AIDS
- Hiv
- People
- Africa
- New
- Global
- Since
- Prevalence
- Million
- Infections
- Infected
- Women
- Cases
epidemiology of hiv/aids
- Hiv
- People
- Africa
- New
- Global
- Since
- Prevalence
- Cases
- Million
- Infections
- Infected
- Women
hiv/aids
- Hiv
- People
- Africa
- New
- Global
- Since
- Prevalence
- Cases
- Million
- Infections
- Infected
- Women
world health organization
- Health
- World
- Global
- Million
- Aids
- Per
- People
- Africa
- United
- Region
- Unaids
- Hiv
hiv
- People
- Africa
- New
- Prevalence
- Million
- Infections
- Infected
- Women
- Cases
- Men
- Region
- Living
global burden of disease study
- Disease
- Global
- Aids
- Health
- Since
- World
- Countries
- Also
- Incidence
- Per
- United
- Hiv
eastern africa
- Sub-saharan
- South
- Hiv
- Infections
- Region
- Population
- Prevalence
- Million
- Countries
- Unaids
- Infected
- People
southern africa
- Sub-saharan
- South
- Hiv
- Infections
- Region
- Population
- Prevalence
- Million
- Countries
- Unaids
- Infected
- People

Connections between topic areas Semantic bridges

For Epidemiology of HIV/AIDS, one of the stronger structural bridges in this analysis connects Epidemiology of HIV/AIDS with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Epidemiology of HIV/AIDS — Overview · splits 60 ⟂ 43

Epidemiology of HIV/AIDS — By region · splits 61 ⟂ 42

Epidemiology of HIV/AIDS — AIDS research and society · splits 94 ⟂ 9

Epidemiology of HIV/AIDS — Global HIV data · splits 95 ⟂ 8

Map overview Semantic statistics

Epidemiology of HIV/AIDS

Nodes103

Edges102

Triples8

Avg. degree1.98

Density0.019417

Components1

Source & methodology

TTTA analyzes the structure around Epidemiology of HIV/AIDS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Community, Research & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Epidemiology of HIV/AIDS · EN edition · Analysis: TopicsToTalkAbout

Epidemiology of HIV/AIDS: Community, Research & Regions

Epidemiology of HIV/AIDS topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Global HIV data

By region

AIDS research and society

For the semantics nerds

Advanced semantic analysis

How Epidemiology of HIV/AIDS connects Entity context

Epidemiology of HIV/AIDS

Top relations

Important terminology

Important terminology

Epidemiology of HIV/AIDS relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Epidemiology of HIV/AIDS

Source & methodology