Dose response for infectivity of several strains of Campylobacter jejuni in chickens.
Although some major risk studies have been done for Campylobacter jejuni, its dose response is not well characterized. Only a single human study is available, providing dose-response information for only a single isolate. As substantial heterogeneity in infectivity has been acknowledged for other pathogens, it remains unknown how well this single study represents the dose-response relation for this pathogen. As future human challenge studies with Campylobacter are unlikely, we have to find other means of studying its infectivity. Several dose-response studies have been done using chickens as host organisms. These studies may be used to obtain quantitative information on the variation in infectivity among different isolates of this pathogen. A hierarchical Bayesian model is well suited to describe heterogeneity, and we demonstrate how the beta-Poisson model of microbial infection may be adapted to allow for within- and between-isolate variation. Isolates tested in chickens can be categorized into two distinct groups: lab-adapted and fresh isolates, and we show how the hierarchical dose-response model can be used to quantitatively describe their differences. Fresh isolates show higher colonization potential and less within-isolate variation than lab isolates. The results indicate that Campylobacter jejuni is highly infectious in chickens. Different isolates show great variation in infectivity, especially between lab and fresh isolates, indicating that human clinical (volunteer) studies on infectivity must be interpreted cautiously.
Chen
Lailai
L
Center for Statistics, University Hasselt, Belgium.
Geys
Helena
H
Cawthraw
Shaun
S
Havelaar
Arie
A
Teunis
Peter
P
D000818:Animals; D001499:Bayes Theorem; D002169:Campylobacter Infections / Q000175:diagnosis* / Q000378:metabolism*; D016123:Campylobacter jejuni / Q000235:genetics / Q000378:metabolism*; D002645:Chickens / Q000382:microbiology*; D003141:Communicable Diseases / Q000378:metabolism / Q000382:microbiology*; D004195:Disease Models, Animal; D004305:Dose-Response Relationship, Drug; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D016012:Poisson Distribution; D011201:Poultry Diseases / Q000378:metabolism / Q000382:microbiology*; D018570:Risk Assessment / Q000379:methods*; D013045:Species Specificity