L16 - Epidemiology (2) Flashcards

1
Q

Describe the SIR model and how it differs from the SI model of disease spread

A

SIR - (Susceptible, Infected, Removed)
- Same as SI model but Removed compartment added
- Removed = plant killed or infected tissue stops being infectious (epidemiologically inert)

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2
Q

Give the 3 mathematical equations related to SIR modelling, describing each term

A

1) dS/dt = - Beta x IS

2) dI/dt = Beta x IS - mu x I

3) dR/dt = mu x I

(Beta = infection rate)
(Mu = loss of infectivity rate)

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3
Q

What are the key results of the SIR model?

A
  • Disease eventually burns itself out, I = 0 as t = infinity
  • Not all plants infected by end of epidemic
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4
Q

Describe the biology of Citrus canker, which will be used as a case study in this lecture

Give:
- pathogen name
- host species
- method of transmission
- symptoms of disease
- draw a sketch of the pathogen’s lifecycle

A
  • Bacterial disease - Xanthomonas axonopodis
  • Affects multiple citrus species (grapefruit, lime, lemon etc…)
  • Airborne, primarily wind-blown rain
  • Bacteria penetrate in wet conditions via stomata
  • Pre-existing wounds caused by Asian citrus leaf miner (Phyllocnistis citrella) allow direct penetration
  • Erumpent lesions on leaves, stems + fruit
  • Causes defoliation, reduced fruit quality, premature fruit drop
  • See sketch on 2nd lecture page
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4
Q

Define the basic reproductive number, Ro, how to calculate it and describe its significance

A

Ro = Avr. no. of of secondary infections generated by one infected individual in a completely susceptible population

Calculation:
- Ro = overall rate of infection x infectious period
- Ro = (Beta x N)/Mu

Significance:
- Ro > 1: disease can invade (epidemic)
- Ro < 1: disease cannot invade (no epidemic)

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5
Q

Describe an area largely affected by Citrus canker

A
  • Multiple introductions of exotic pest to Florida
  • Entered in 1995, citrus production reduced 1/3 in one decade
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6
Q

What are the control options for Citrus Canker/lack of control options?

A

Genetic:
- no resistant forms found

Chemical
- Cu-based bactericides reduce Beta
- Pesticides control leaf miner
- None close to 100%

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7
Q

Which disease model seems applicable and what are the implications?

A
  • Disease reduces fruit yield but doesn’t kill tree
  • SI model applicable as Mu = 0
  • Implies eventual infection of all trees, even if Beta reduced
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8
Q

What manual control can be applied by growers to reduce the spread of Citrus Canker and how does this change the model used?

A
  • Roguing done - infected hosts scouted and removed/killed by growers
  • Move from SI to SIR model
  • Mu determined by rate of roguing
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9
Q

Is increasing the frequency of roguing enough to control Citrus Canker disease?

A

Ro = (Beta x N)/Mu
- Mu can be increased by more roguing
- Increasing roguing frequency doesn’t increase Mu indefinitely
- Further Mu increase requires immediately killing infected hosts
- Infectious but non-symptomatic trees make this hard

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10
Q

Describe a more specific model for Citrus Canker that advances from the SIR model

A

SCIR Model:
- SIR model + C category
- C = Cryptic (infectious but not yet symptomatic)
- I = Infected (infectious and symptomatic)
- Symptoms developed at rate γ
- Cannot rogue class C plants

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11
Q

Give the four mathematical equations for the SCIR model

A

1) dS/dt = - βIS - βCS
2) dC/dt = βIS + βCS - γC
3) dI/dt = γC - μI
4) dR/dt = μI

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12
Q

Give an expression for Ro in the SCIR model

Explain the limitations of roguing given this expression

A

Ro = Ro(C) + Ro(S)
= (βN)/γ + (βN)/μ

  • Ro(C) and Ro(S) are separate components for cryptic and symptomatic infection
  • Roguing only affects Ro(S)
  • Ro(C) > 1 means roguing alone not successful
  • Potential for chemical control to reduce Ro(C) but too expensive
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13
Q

Explain a technique that was used to try to reduce the spread of Citrus Canker by reducing Ro(C)

A
  • Rogue infected trees + simultaneously cull nearby trees
  • Need to develop optimal radius of control
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14
Q

How can the optimal radius of culling for control be determined?

A
  • Spatial model needed
  • Model the “dispersal kernel” of infection
  • E.g. exponential kernel K(d) = e^-(d/a), ‘a’ fitted to data
  • Multiple models used to find minimum epidemic impact w.r.t cull radius
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15
Q

What happened in Florida to try and control the spread of Citrus Canker?

Did it work? Why/why not

A
  • Culling radius implemented

Radius = 125ft in 1998
Radius = 1900ft in 2001
- not politically popular (killing potentially healthy trees)

Failed control due to :
- pre-2001 radius too small
- legal challenges by homeowners against culling
- widespread pathogen dispersal by hurricanes
- 1900ft also wrong radius (done on basic epidemiology)