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Evolution of Parasites and Diseases

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It takes all the running you can do to stay in the same place ... Arrival breedinggrounds of pied fly catcher. Adult males. Yearling males. Yearling males ... – PowerPoint PPT presentation

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Title: Evolution of Parasites and Diseases


1
Evolution of Parasites and Diseases
  • The Red Queen to Alice
  • It takes all the running you can do to stay in
    the same place

2
Dynamical Models for Parasites and Diseases
  • SIR Models (Microparasites)
  • SI Models (HIV)

Figure 12.28
3
Alternative Models for Parasites and Diseases
Figure 12.30 Rabies and Foxes
Figure 12.32 Macroparasites
4
Many Dynamical Interactions Possible
Pathogen Productivity
Figure 12.29
5
Not everyone needs vaccination
Pc 1 1/R0
Critical Vavvination Percentage
Basic Reproductive Rate (infected hosts)
Figure 12.23
6
Parasites are everywhere and strike fast
Figure 12.16
7
Parasites spread faster in dense hosts
Figure 12.6
8
Parasites are usually aggregated
Negative binomial Distributions
Gut nematode of foxes
Human head lice
Figure 12.10
9
Parasites obey distribution laws
Number of parasites per host
Figure 12.11
infected hosts
10
Parasites incur a fitness cost
Yearling males
Yearling males
Adult males
Adult males
Figure 12.19
Arrival breedinggrounds of pied fly catcher
11
Resistance and Immunity are costly
Figure 12.20
Number of buds of susceptible and resistant
lettuce
12
Virulence is subject to natural selection
Is intermediate virulence optimal?
Myxoma virus in rabbits
Figure 12.34
13
Basic Microparasite Models (Comp. p. 88)
Exercise 1a
dX/dt a(X Y Z) bX - ?XY ?Z (8)
dY/dt ?XY (? b ?) Y (9)
dZ/dt ?Y (b ?) Z (10)
14
Basic Microparasite Models (Comp. p. 88)
Exercise 1 bc
For a disease to spread, we need
dY/dt ?XY (? b ?) Y gt 0 (9)
During invasion Y Z 0 ? X N
? NT (? b ?)/ ? (18)
? dN/dt dX/dt NT 0 ? (a - b)N 0
15
Duration of immunity (1/?)
NT has been variable through human evolution
16
HIV-AIDS
dN/dt N (? - ?) (? (1 - ? )?) (Y/N) (1)
dY/dt Y (?c - ? - ?) - ?c (Y/N)
(2)
No Immune Class (Z) so that X N - Y
17
HIV-AIDS The first equation
dN/dt N (? - ?) (? (1 - ? )?) (Y/N)
(1)
  • per capita birth rate
  • fraction infected children surviving
  • ? natural mortality rate
  • ? HIV induced mortality rate

Equivalent to dN/dt ? (X ? Y) - ? (X Y) -
? Y
18
HIV-AIDS The second equation
  • per capita birth rate
  • fraction infected children surviving
  • ? natural mortality rate
  • ? HIV induced mortality rate

dY/dt Y (?c - ? - ?) - ?c (Y/N)
(2)
Equivalent to dY/dt ? XY (c/N) (? ?) Y
? transmission rate C average rate of
aquiring partners C/N proportion of population
being a sexual partner
19
HIV-AIDS
dN/dt N (? - ?) (? (1 - ? )?) (Y/N) (1)
dY/dt Y (?c - ? - ?) - ?c (Y/N)
(2)
  • (2) on page 104 are completely equivalent
  • with (8) (9) on page 88 if infected children
  • (vertical transmission) and sexual transmission
  • are taken into account

20
Issues to be discussed
  • What are the population-dynamical and
    evolutionary characterizes of flu and HIV?
  • Why does flu cycle (outbreak epidemics) and HIV
    not?
  • Why is AIDS so devastating?
  • How well did the predictions of the 1988 HIV
    model hold up?
  • Will AIDS medicine help in Africa?
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