Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Epidemic: Applications, Causes & Definition

An epidemic (from Greek ἐπί epi "upon or above" and δῆμος demos "people") is the rapid spread of disease to a large number of hosts in a given population within a short period of time. For example, in meningococcal infections, an attack rate in excess of 15 cases per 100,000 people for two consecutive weeks is considered an epidemic.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Epidemic topic overview

The analysis highlights Applications, Causes and Definition as prominent areas in the source structure around Epidemic.

Related topics
71
Source areas
5
Connected nodes
76
Extracted relationships
63
Concept neighborhoods
24
Bridge connections
76

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 · 40 topics
Definition · 15 topics
Overview · 13 topics
Preparation · 2 topics
Types · 1 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.

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.

Overview

Definition

Causes

Types

Preparation

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 Epidemic connects Entity context

The extracted context around Epidemic shows recurring relationship patterns in the source. For example, Epidemic → According, Consequently, Effective, Michael Gerson, NATO, Preparations, Still, Such, Tanzania, The Another extracted example is Epidemic → Any, Disease Control, HIV/AIDS, Prevention, The, The United States Centers, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Epidemic

Top relations

related to Preparation · 10
Epidemic → According, Consequently, Effective, Michael Gerson, NATO, Preparations, Still, Such, Tanzania, The
related to Definition · 7
Epidemic → Any, Disease Control, HIV/AIDS, Prevention, The, The United States Centers, This
see also · 7
Epidemic → ControlCenters, Disease Control, Disease Prevention, List, Pandemics, PandemicSyndemicEuropean Centre, PreventionMathematical
related to Changes in the host population · 6
Epidemic → An, European, Eventually, In, It's, The
related to Human behaviour · 5
Epidemic → Broad Street, Changes, Ebola, The, Urbanisation
related to Propagated outbreak · 4
Epidemic → Affected, For, In, Many
has cause · 2
Epidemic → Factors, There
related to Common source outbreak · 2
Epidemic → If, In

Important terminology

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

Important terminology

disease pathogen host may population outbreak one diseases epidemics pandemic transmission increase people virus change common endemic influenza spread example

Epidemic relationships Subject–Predicate–Object triples

TTTA extracted 63 structured relationships around Epidemic. Examples in this analysis include malaria → instance of → vector-borne diseases and obesity.The term epidemic derives from a word form attributed to Homer's Odyssey → instance of → The term can also be used for non-communicable health issues. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
malariainstance ofvector-borne diseases0.80text
obesity.The term epidemic derives from a word form attributed to Homer's Odysseyinstance ofThe term can also be used for non-communicable health issues0.80text
which later took its medical meaning from the Epidemicsinstance ofThe term can also be used for non-communicable health issues0.80text
a treatise by Hippocratesinstance ofThe term can also be used for non-communicable health issues0.80text
humidityinstance ofespecially0.80text
temperatureinstance ofespecially0.80text
during different seasonsinstance ofespecially0.80text
spending more time in close contact indoors.Changes in immune function during winter - one possibility is a reduction in vitamin Dinstance ofor influenza which peaks in temperate regions during winter.The behaviour of people susceptible to the disease -0.80text
and another is the effect of cold on mucous membranes in the nose.Abundance of vectors such as mosquitoes.Human behaviourChanges in behaviour can affect the likelihoodinstance ofor influenza which peaks in temperate regions during winter.The behaviour of people susceptible to the disease -0.80text
extentinstance ofor influenza which peaks in temperate regions during winter.The behaviour of people susceptible to the disease -0.80text
severityinstance ofor influenza which peaks in temperate regions during winter.The behaviour of people susceptible to the disease -0.80text
longevity of epidemicsinstance ofor influenza which peaks in temperate regions during winter.The behaviour of people susceptible to the disease -0.80text

Related concept clusters Concept neighborhoods

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

  • Epidemic
    • Disease
    • One
    • Endemic
    • People
    • Common
    • Increase
    • May
    • Cases
    • Number
    • Term
    • Epidemics
    • Transmission
  • epidemic
    • Disease
    • One
    • Endemic
    • People
    • Common
    • Increase
    • May
    • Cases
    • Number
    • Term
    • Epidemics
    • Transmission
  • disease
    • Epidemic
    • Population
    • Increase
    • Outbreak
    • Host
    • Infectious
    • Endemic
    • People
    • Time
    • Common
    • One
    • May
  • common cold
    • Source
    • Outbreak
    • Time
    • Epidemic
    • Transmission
    • Host
    • May
    • Disease
    • Also
    • Number
    • Behaviour
    • Cholera
  • centers for disease control and prevention
    • Epidemic
    • Population
    • Increase
    • Outbreak
    • Host
    • Infectious
    • Endemic
    • People
    • Time
    • Common
    • One
    • May
  • contagious disease
    • Epidemic
    • Population
    • Increase
    • Outbreak
    • Host
    • Infectious
    • Endemic
    • People
    • Time
    • Common
    • One
    • May
  • 2014 ebola virus epidemic
    • Antigenic
    • Disease
    • One
    • Endemic
    • People
    • Common
    • Increase
    • May
    • Cases
    • Number
    • Host
    • Term
  • infectious disease
    • Epidemic
    • Pathogen
    • Population
    • Increase
    • Outbreak
    • Host
    • Health
    • Infectious
    • Pandemics
    • Endemic
    • People
    • Time

Connections between topic areas Semantic bridges

For Epidemic, one of the stronger structural bridges in this analysis connects Epidemic 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
Epidemic — Causes · splits 36 ⟂ 41
Epidemic — Definition · splits 61 ⟂ 16
Epidemic — Overview · splits 63 ⟂ 14
Epidemic — Preparation · splits 74 ⟂ 3

Map overview Semantic statistics

Epidemic

Nodes77
Edges76
Triples63
Avg. degree1.97
Density0.025974
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.