Snapshot 1: dose-response curve of a relatively mild pathogen plotted on linear coordinates (5 probabilities)
Snapshot 2: dose-response curve of a virulent pathogen plotted on linear coordinates (6 probabilities)
Snapshot 3: dose-response curve of a pathogen plotted on log-linear coordinates (6 probabilities)
Snapshot 4: dose-response curve of an extremely virulent pathogen plotted on log-linear coordinates (6 probabilities)
This Demonstration generates dose-response curves of hypothetical pathogens using the expanded Fermi solution method. The number,
, of viable pathogens needed to cause an infection after reaching and settling in the gut is entered with a slider. (The lower
is, the more virulent the pathogen.) The probabilities that determine the pathogen's survival in the digestive tract,
, are specified by their ranges whose lower and upper limits,
maximum, are also entered with sliders. They can be, for example, the probabilities that the pathogens survive the stomach acids and enzymes, pancreatic juices, bile, competition from resident microbiota, etc.
The Demonstration calculates the lognormal distribution's logarithmic mean,
, and standard deviation,
, whose cumulative form (CDF) represents the dose-response curve that corresponds to the entered value
and probability ranges. The calculation method is described in the appendix of  and has been the basis of the analytical solution in the three Demonstrations listed in the related links. The Demonstration then plots this curve accompanied by the numeric values of
and of the infective dose (ID) at three levels, 5, 50, and 95 percent. It also displays the value of
, the number of ingested pathogens, entered with a slider, and its corresponding probability of infection in percent. Since the number of ingested pathogens,
, and the number that causes infection,
, can vary dramatically, a setter bar is used to enter their order of magnitude.
The generated dose-response curve may be plotted on either linear or log-linear coordinates as chosen by the user with a setter bar. The upper limit of the plot's
axis is specified with a matching slider.
Not all the plots that can be generated by the Demonstration correspond to the dose-response curves of actual pathogens.
 H. C. von Baeyer, The Fermi Solution: Reflections on the Meaning of Physics
, London: Penguin, 1993.
 M. Peleg, M. D. Normand, J. Horowitz, and M. G. Corradini, "An Expanded Fermi Solution for Microbial Risk Assessment," International Journal of Food Microbiology
(1), 2007 pp. 92–101.