Epidemic spread
How a disease propagates through a population along contact networks.
At a glance
Key signals
67% cross fields · reaches 21 more
- Epidemiology
- Public Health
- Network Science
- Explanation
- Examples
- Misconception
- Sourced relations 2
- Attribution
Dependencies
What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.
Foundations · builds on
Epidemic spreaddepends onNetworkStrongly supported
Epidemic spread depends on contact networks.
Mechanism: A disease travels along the links between people; how connected the network is decides how fast and how far it spreads.
PathogencausesEpidemic spreadEstablished
pathogen causes Epidemic spread.
Mechanism: A pathogen that passes from host to host can drive an epidemic through a population.
- Biology 2e (OpenStax) (2018) verified
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Removing this node lengthens the structural route between Pathogen and Risk from 2 to 7 steps (they stay connected — alternative routes exist).
structural · Structural removal simulation — not a historical or causal counterfactual.
67% of its relationships cross field boundaries, reaching 21 other disciplines — unusual in a discipline where most concepts stay within their field.
structural · Structural graph analysis — not a claim of importance, causation or history.
Currently dark in the atlas: no key date stored · 6 of 6 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Builds on 2 foundations (requires / depends-on / derived-from / emerges-from).
structural · Structural graph analysis — not a claim of importance, causation or history.
cross-field
2 within-field, 4 cross-field
Strengths & constraints
Strengths
- Cross-disciplinary connector — 67% of its relationships cross field boundaries. structural
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Its dependency reading rests on 2 foundation relations. structural
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
Dependency radial
What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.
Seen through each discipline
How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
This idea also appears in…
The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”
Networks49 disciplines · 39 concepts
Compounding21 disciplines · 17 concepts
Thresholds & tipping points22 disciplines · 18 concepts
Diffusion & spread11 disciplines · 4 concepts
Concepts
shares a mental model · shares a mental model · explicitly analogous · crosses a discipline boundary
shares a mental model · crosses a discipline boundary
shares a mental model
shares a mental model
shares a mental model
shares a mental model
Mental models at work here
Networks
A set of parts connected so that a change in one can spread to others through the links.
Follow the links: who is connected to whom, and what can travel along those connections?
Compounding
When each step's growth is added to the base so the next step grows too — producing accelerating, exponential change rather than a steady line.
Growth that feeds on itself starts slow and then surprises you.
Thresholds & tipping points
A level below which little happens and above which the behaviour changes sharply — sometimes irreversibly.
Some changes are gradual; others wait, then flip all at once.
Diffusion & spread
Countless small random steps carry things from where they are crowded to where they are sparse — smoothing differences and spreading through a network.
Expect spread to be driven by a gradient and by contact. Early growth can look explosive, then slows as the gradient flattens or susceptibles run out.
- Connects 6 other ideas across 3 disciplines.
- A cross-disciplinary bridge — its connections reach into 21 other fields.
- Most of its connections are of the “Cause & effect” kind.
- It exercises 4 reusable thinking patterns.
Derived from the graph’s real structure — observations, not a score.
Sources
- Early epidemic spread, percolation and Covid-19 (2020) verified
- Hygienic Aspects of Occurence and Epidemic Spread of Waterborne Amebiasis in Tbilisi, Georgia (2000) verified
- Balancing capacity and epidemic spread in the global airline network (2021) verified
- Simulation of Epidemic Spread in Social Network (2009) verified
- An epidemic of enteric fever spread by personal infection in an asylum (1900) verified
- Controlling epidemic spread by social distancing: Do it well or not at all (2012) verified