| Term 
 
        | Characteristics of Macroparasites |  | Definition 
 
        | 
Cause persistent infectionsLong generation timeSpecialized infective stagesMorbidity rather than ortality immunity complexImpact is a function of number of parasites per hostNo replication within hosts |  | 
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        | Term 
 | Definition 
 
        | 80% of the population is concentrated in 20% of the hosts   |  | 
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        | Term 
 | Definition 
 
        | 
Examines relationship btw Power and MeanAggregated distribution= variance increases faster than meanlog(s^2)=b(log m)+ log(a) (a is intercept, b is slope)   |  | 
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        | Term 
 
        | Negative Binomial Distribution |  | Definition 
 
        | 
K defines the neg binomial, it is an inverse measure of aggregation ( smaller k means higher aggregation) k>20 poisson distribution, k=20-1 random, k< 0 aggregated 
K is defined by mean and variance |  | 
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        | Term 
 | Definition 
 | 
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        | Term 
 | Definition 
 
        | 
Population is distributed at a regular rateunder disperseduniform distribution |  | 
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        | Term 
 | Definition 
 
        | 
k--> ∞No pattern among hostsRandom distributionPoisson |  | 
        |  | 
        
        | Term 
 | Definition 
 
        | k-->0 Only one host infected Aggregated (Over dispersed) k is less than zero   |  | 
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        | Term 
 
        | The longer the tail in a graph.... |  | Definition 
 
        | The more aggregated it is |  | 
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        | Term 
 
        | Statistical issue w/ parasie distribution |  | Definition 
 
        | high aggregtion reguires high sample size, small samples underestimate both mean and aggregation |  | 
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        | Term 
 | Definition 
 | 
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        | Term 
 
        | Distributions dont add up because |  | Definition 
 
        | 2 random distributions can make an aggregated distribution |  | 
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        | Term 
 
        | Factors that generate random distribution |  | Definition 
 
        | 
Parasites arent regulated by hosts, but by their own density (mortality, fecundity, etc)-fecundity decreases w/ more parasites in 1 individualParasite induced mortalityHost immunity |  | 
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        | Term 
 
        | Processes that generate random distribution |  | Definition 
 | 
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        | Term 
 
        | Processes that generate aggregated distribution |  | Definition 
 
        | Heterogenity in : 
Susceptibilty to infectionExposureImmunityDirect reproduction of parasites in host |  | 
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        | Term 
 
        | Variability in individuals in either ? or ? causes aggregation. |  | Definition 
 
        | Susceptibility or Exposure |  | 
        |  | 
        
        | Term 
 
        | Exposure to free living stages and aggregation |  | Definition 
 
        | More aggregated eggs means more aggregation in host.   |  | 
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        | Term 
 
        | Variablilty in host susceptibility due to.. |  | Definition 
 
        | Males tend to be more infected than females (higher prevalence), mammals tend to have higher intensity (particularly nematodes). |  | 
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        | Term 
 
        | Ecological reasons males are more susceptible to infection: |  | Definition 
 
        | Exposure: Behaviour- stay in pools longer, while females leave th pools to lay eggs Diet- Body size- eat more w/ a bigger body size |  | 
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        | Term 
 
        | Physiological reasons males are more susceptible to infection: |  | Definition 
 
        | Sex differences in steroid hormones: Testosterone- Progesterone- Oestrogen- They have an effect on parasite growth and development |  | 
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        | Term 
 
        | How treatment in males affects females and what it indicates. |  | Definition 
 
        | 
treatment in males causes a great drop in females infected.males arent the most likely to get infected, but also the most likelt to transmit infection. |  | 
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        | Term 
 
        | Who are the 20% super-infected hosts?   |  | Definition 
 | 
        |  | 
        
        | Term 
 | Definition 
 
        | 
Type 1-linear increasein parasite intensity, constant infection, no parasite mortalityType 2-parasite birth & death process, 1st parasites increase in host, then there is constant infection and a mortality rate proportional to this infection.Type 3-parasite intensity increases, then peaks, and decreases, can be caused by 4 things |  | 
        |  | 
        
        | Term 
 
        | 4 causes of type 3 age intensity curve |  | Definition 
 
        | 
Age-related change in exposure:older host is less exposed to infectionParasite induced host mortality (they kill heavily infected hosts)Frailty in data (few old hosts in sample, and aggregated parasites)Aquired immunity-develops as a cmulative exposure to parasites |  | 
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        | Term 
 
        | What happens if the force of infection is high? |  | Definition 
 
        | The transmission is high and the age at peak of infection of a population is high. This also means that aquired immunity is faster. The immune system kicks in fast. |  | 
        |  | 
        
        | Term 
 
        | Peak shift (host age and intensity) in a seasonal environment |  | Definition 
 
        | Tends to be lower ages in months that have a more favorable parasite growth. (colder months usually have less parasites, means transmission is slower, and aquired immunity takes longer to develop, age of peak infection is older). |  | 
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        | Term 
 
        | Why is aggregation distribution important? |  | Definition 
 
        | Biological interest 
Parasites in the tail overall experience higher densitiesMortality and morbidity occurs just in the tailimpact on host and selection pressure higher in tailWhere to focus chemotherapy! |  | 
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