Dose response models for Giardia sp.
Giardia infection in humans
Rendtorff (1954) administered Giardia sp. (unknown human-derived strain) to male prisoners by the oral route. The dose units were cysts, and the response was infection.
- k = 0.01991, 95% CI 0.01050 to 0.03290
The deviance of this model fit is 8.371 with 7 degrees of freedom.
The p-value for the null hypothesis of goodness of fit is 0.30.
The p-value for the null hypothesis that the beta-Poisson model fits no better than the exponential model is 1.00.
At a dose of 34.8, the expected percentage of hosts that would suffer the response would be 50%.
Istre et al. (1984) investigated an waterborne outbreak of giardiasis by interviewing ill people and well controls. The dose units were glasses of water (as defined by the interviewee), and the response was infection. The amount of contamination in the water was not measured.
- k = 0.06976, 95% CI 0.04030 to 0.1050
The deviance of this model fit is 8.371 with 6 degrees of freedom.
The p-value for the null hypothesis of goodness of fit is 0.31.
The p-value for the null hypothesis that the beta-Poisson model fits no better than the exponential model is 0.62.
At a dose of 9.9, the expected percentage of hosts that would suffer the response would be 50%.
Giardia infection in large rodents by human-derived strains
Erlandsen et al. (1969) administered Giardia sp. (unknown human-derived strain) to wild beavers and muskrats by the oral (beavers) and intragastric (muskrats) route. The dose units were cysts, and the response was infection. Much higher doses were required to infect these rodents with Giardia sp. from humans.
For beavers:
The deviance of this model fit is 1.219 with 2 degrees of freedom.
The p-value for the null hypothesis of goodness of fit is 0.54.
The p-value for the null hypothesis that the beta-Poisson model fits no better than the exponential model is 4.0E-6.
At a dose of 14597.96, the expected percentage of hosts that would suffer the response would be 50%.
For muskrats:
- k = 1.73E-6, 95% CI 9.49E-7 to 2.91E-6
The deviance of this model fit is 8.399 with 2 degrees of freedom.
The p-value for the null hypothesis of goodness of fit is 0.078.
The p-value for the null hypothesis that the beta-Poisson model fits no better than the exponential model is 0.36.
At a dose of 400663, the expected percentage of hosts that would suffer the response would be 50%.