Asthma

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Asthma topic overview

The analysis highlights History, Community, Culture and Applications as prominent areas in the source structure around Asthma.

Related topics: 256
Source areas: 12
Connected nodes: 268
Extracted relationships: 253
Concept neighborhoods: 39
Bridge connections: 268

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.

Causes · 47 topics

Management · 40 topics

History · 33 topics

Diagnosis · 31 topics

Overview · 26 topics

Classification · 25 topics

Mechanism · 18 topics

Signs and symptoms · 16 topics

Society and culture · 9 topics

Prevention · 6 topics

Outlook · 3 topics

Epidemiology · 2 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.

Causes: Genetic and environmental factors
Complications: Gastroesophageal reflux disease (GERD), sinusitis, obstructive sleep apnea
Deaths: Approximately 442,000 (2023)
Diagnostic method: Based on symptoms and spirometry
Duration: Long term
Frequency: Approximately 363 million (2023)

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.

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Asthma connects Entity context

The extracted context around Asthma shows recurring relationship patterns in the source. For example, Asthma → GATA3, GSDMB, GWAS, II, IL1RL1/IL18R1, IL33, Large, Meta-analyses, MHC, Multiple, ORMDL3, Pathway, The, TSLP, Twin Another extracted example is Asthma → Arabic, BC, Egypt, Greek, Hippocrates, In, It, Jewish, Maimonides, Maqāla, Rabw, Traditional Chinese, Treatise, Wellcome Foundation. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Genetics · 15

Asthma → GATA3, GSDMB, GWAS, II, IL1RL1/IL18R1, IL33, Large, Meta-analyses, MHC, Multiple, ORMDL3, Pathway, The, TSLP, Twin

related to history · 14

Asthma → Arabic, BC, Egypt, Greek, Hippocrates, In, It, Jewish, Maimonides, Maqāla, Rabw, Traditional Chinese, Treatise, Wellcome Foundation

related to Phenotyping and endotyping · 14

Asthma → ACO, An, Aspirin-exacerbated, Asthma-COPD, FeNO, Fractional, Irritant-induced, Occupational, T2, T2-high, T2-low, The, Type-2, Within

related to Economics · 12

Asthma → Canada, Germany, HIV/AIDS, However, In, People, Singapore, Switzerland, There, These, United States, Worldwide

related to Lifestyle modification · 12

Asthma → Aspirin, Certain, Due, Exposure, For, Guidelines, It, Non-medical, NSAIDs, Obesity, Pulmonary, Regular

related to Outlook · 9

Asthma → Children, Despite, Disease Study, Estimates, GBD, Over, The Global Burden, They, Young

related to Risk factors · 9

Asthma → Children, Conversely, DNA, Early, Factors, Nicotine, Prenatal, Respiratory, This

related to Epidemiology · 8

Asthma → In, It, Low, Overall, Rates, The, While, Within

related to Health disparities · 8

Asthma → Americans, As, Hispanic, However, In, Puerto Rican, The, United States

related to 19th century · 7

Asthma → At, Bosworth, He, In, Medical, Roosevelt's, Theodore Roosevelt

Important terminology

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

Important terminology

symptoms disease treatment allergens may used exacerbations control corticosteroids guidelines exposure respiratory factors medication inhaled include also severe risk children

Asthma relationships Subject–Predicate–Object triples

TTTA extracted 253 structured relationships around Asthma. Examples in this analysis include Asthma → Causes → Genetic and environmental factors and Asthma → Complications → Gastroesophageal reflux disease (GERD), sinusitis, obstructive sleep apnea. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Asthma	Causes	Genetic and environmental factors	1.00	infobox
Asthma	Complications	Gastroesophageal reflux disease (GERD), sinusitis, obstructive sleep apnea	1.00	infobox
Asthma	Deaths	Approximately 442,000 (2023)	1.00	infobox
Asthma	Diagnostic method	Based on symptoms and spirometry	1.00	infobox
Asthma	Duration	Long term	1.00	infobox
Asthma	Frequency	Approximately 363 million (2023)	1.00	infobox
Asthma	Pronunciation	.mw-parser-output .IPA-label-small{font-size:85%}.mw-parser-output .references .IPA-label-small,.mw-parser-output .infobox .IPA-label-small,.mw-parser-output .navbox .IPA-label-…	1.00	infobox
Asthma	Pronunciation	US: /ˈæzmə/	1.00	infobox
Asthma	Risk factors	Air pollution, allergens, urban environments	1.00	infobox
Asthma	Specialty	Pulmonology	1.00	infobox
Asthma	Symptoms	Recurring episodes of wheezing, coughing, chest tightness, shortness of breath	1.00	infobox
Asthma	Treatment	Avoiding triggers, inhaled corticosteroids and long-acting beta2 agonists	1.00	infobox
Asthma	Usual onset	Childhood	1.00	infobox
Asthma	causes	recurrent episodes of wheezing	0.90	text
Asthma	is a	common long-term inflammatory disease of the airways	0.90	text
Asthma	is a	absence of these inflammatory markers and the mechanisms are not well researched	0.90	text
Asthma	is a	type-2 low phenotype while sensitizer-induced occupational asthma is a type-2 high phenotype	0.90	text
Asthma	is a	kind of asthma distinguishable by recurrent	0.90	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Asthma bring nearby vocabulary together. In this analysis, examples include Symptoms, Control and Disease. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Asthma
- Symptoms
- Control
- Disease
- Treatment
- Factors
- Exposure
- Risk
- Also
- Medication
- Exacerbations
- Guidelines
- People
asthma
- Symptoms
- Control
- Disease
- Treatment
- Factors
- Exposure
- Risk
- Also
- Medication
- Exacerbations
- Guidelines
- People
allergens
- Exposure
- Air
- Inhaled
- Factors
- Triggers
- Corticosteroids
- Respiratory
- Childhood
- Use
- Due
- Risk
- Include
environmental factors
- Air
- Risk
- Exposure
- Triggers
- Medications
- Medication
- Control
- Exacerbations
- However
- Use
- Inhaled
- Include
aspirin-exacerbated respiratory disease
- Testing
- Guidelines
- Include
- Use
- Disease
- Respiratory
- People
- Due
- Risk
- Childhood
- Triggers
- Corticosteroids
occupational asthma
- Symptoms
- Control
- Disease
- Treatment
- Factors
- Exposure
- Risk
- Also
- Medication
- Exacerbations
- Guidelines
- People
acute severe asthma
- Symptoms
- Control
- Disease
- Treatment
- Factors
- Exposure
- Used
- Risk
- Also
- Medication
- Exacerbations
- Guidelines
brittle asthma
- Symptoms
- Control
- Disease
- Treatment
- Factors
- Exposure
- Risk
- Also
- Medication
- Exacerbations
- Guidelines
- People

Connections between topic areas Semantic bridges

For Asthma, one of the stronger structural bridges in this analysis connects Asthma with Causes. 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

Asthma — Causes · splits 221 ⟂ 48

Asthma — Management · splits 228 ⟂ 41

Asthma — History · splits 235 ⟂ 34

Asthma — Diagnosis · splits 237 ⟂ 32

Asthma — Overview · splits 242 ⟂ 27

Asthma — Classification · splits 243 ⟂ 26

Asthma — Mechanism · splits 250 ⟂ 19

Asthma — Signs and symptoms · splits 252 ⟂ 17

Asthma — Society and culture · splits 259 ⟂ 10

Asthma — Prevention · splits 262 ⟂ 7

Asthma — Outlook · splits 265 ⟂ 4

Asthma — Epidemiology · splits 266 ⟂ 3

Map overview Semantic statistics

Asthma

Nodes269

Edges268

Triples253

Avg. degree1.99

Density0.007435

Components1

Source & methodology

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

Source: Wikipedia — Asthma · EN edition · Analysis: TopicsToTalkAbout