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29 Terms
1
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What is R₀?
The basic reproductive ratio: the expected number of secondary infections produced by one infected host in a susceptible population under specified conditions.
2
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What does R₀ > 1 mean?
On average, each infection produces more than one new infection, so the pathogen can increase when introduced.
3
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What does R₀ < 1 mean?
Each infection produces fewer than one new infection on average, so the infection cannot sustain itself.
4
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What does R₀ = 1 mean?
The pathogen is at the replacement threshold: each infected host produces one new infection on average.
5
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What is the most important way to interpret R₀ on an exam?
Ask whether one infected host replaces itself with more than, fewer than, or exactly one new infection.
6
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What is the relationship between R₀ and host density in a density-dependent model?
R₀ increases as host density increases.
7
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Why does higher host density often increase R₀?
Dense populations create more opportunities for transmission between susceptible and infected hosts.
8
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What is the basic R₀ equation from the Kermack-McKendrick model?
R₀ = βS/γ.
9
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At the beginning of an epidemic, what can S usually be approximated as?
S ≈ N because most of the population is initially susceptible.
10
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What does R₀ become when S ≈ N?
R₀ = βN/γ.
11
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What is the threshold host density NT?
The minimum host density required for a pathogen to establish and produce an epidemic under the model.
12
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What is the threshold host density equation in the basic model?
NT = γ/β.
13
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Why does NT increase when γ increases?
Hosts leave the infectious class more quickly, so a higher host density is needed to sustain transmission.
14
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Why does NT decrease when β increases?
Transmission is more efficient, so fewer hosts are needed to sustain the pathogen.
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What is the general idea behind NT = gain rate/loss rate?
Establishment occurs when the rate of generating new infections exceeds the rate at which infections are lost.
16
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If β doubles, what happens to NT = γ/β?
NT is cut in half.
17
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If γ doubles, what happens to NT?
NT doubles.
18
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A population is below NT. What should happen after introducing a pathogen?
The infection should fail to establish because transmission cannot replace infections that are lost.
19
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A population is above NT. What can happen?
The pathogen can establish and an epidemic can occur if other assumptions of the model are met.
20
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What is deterministic fadeout?
Fadeout predicted because the average conditions do not allow the infection to increase, such as R₀ < 1.
21
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What is stochastic fadeout?
Fadeout caused by random chance even when conditions allow an epidemic, such as when an early chain of transmission happens to die out.
22
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Why can an epidemic fade out even when R₀ > 1?
R₀ is an average. Random events can cause the actual early transmission chain to fail.
23
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What is the difference between deterministic and stochastic fadeout?
Deterministic fadeout occurs because transmission conditions prevent growth on average. Stochastic fadeout occurs because chance events terminate transmission.
24
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Why can a pathogen disappear after a large epidemic even when R₀ initially exceeded 1?
The epidemic can reduce the susceptible population enough that transmission can no longer replace infections.
25
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What is critical community size?
The minimum population size needed to maintain transmission over time.
26
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Why can a disease disappear from a small population but persist in a large population?
Small populations are more vulnerable to stochastic fadeout because transmission chains are more likely to terminate by chance.
27
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If two populations have the same R₀ but one is much smaller, which is more vulnerable to stochastic fadeout?
The smaller population.
28
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What does it mean if a pathogen has a high R₀?
It can generate many secondary infections under the conditions used to define R₀, but R₀ alone does not tell you exactly how large an outbreak will be.
29
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What happens to the epidemic curve when susceptible density increases in a density-dependent system?
The epidemic can grow faster and reach a larger peak because more transmission opportunities exist.