Literature DB >> 10765461

Dose response models for infectious gastroenteritis.

P F Teunis1, N J Nagelkerke, C N Haas.   

Abstract

When pathogenic microorganisms enter the human body via ingestion with food or drinking water, they encounter a system of barriers mounted by the host. In order to reach parts of the intestinal tract that are suitable for growth and attachment, each of the barriers must be overcome successfully. The present view on infection states that at least one of the ingested pathogens must survive to start colonization. This is the basis for dose response models, used for quantitative risk assessment. In this paper, the usefulness of the Beta Poisson model for multiple barriers is corroborated. Infection is associated with the presence of elevated numbers of reproducing pathogens in the intestinal tract. This does not necessarily imply illness symptoms: when intestinal microorganisms engage in damaging activities, this may lead to illness symptoms. At the same time, these activities probably elicit defensive measures from the host, promoting the removal of pathogens and terminating infection. The duration of the period of colonization reflects the balance between the colonization potential of pathogens and the strength of host defenses. Starting from the assumption that during infection the host has a certain hazard of becoming ill, a simple dose response relation for acute gastroenteritis is developed. With the use of literature data from volunteer experiments, we show that examples can be found for three possible alternatives: an increase in the probability of illness with increasing dose, a decrease with higher doses, and a probability of illness (given infection) independent of the ingested dose. These alternatives may reflect different modes of interaction between pathogens and host.

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Year:  1999        PMID: 10765461     DOI: 10.1023/a:1007055316559

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  15 in total

Review 1.  Quantitative Microbial Risk Assessment and Infectious Disease Transmission Modeling of Waterborne Enteric Pathogens.

Authors:  Andrew F Brouwer; Nina B Masters; Joseph N S Eisenberg
Journal:  Curr Environ Health Rep       Date:  2018-06

2.  Variation in Listeria monocytogenes dose responses in relation to subtypes encoding a full-length or truncated internalin A.

Authors:  Yuhuan Chen; William H Ross; Richard C Whiting; Anna Van Stelten; Kendra K Nightingale; Martin Wiedmann; Virginia N Scott
Journal:  Appl Environ Microbiol       Date:  2010-12-17       Impact factor: 4.792

3.  Quantification of the relationship between bacterial kinetics and host response for monkeys exposed to aerosolized Francisella tularensis.

Authors:  Yin Huang; Charles N Haas
Journal:  Appl Environ Microbiol       Date:  2010-11-29       Impact factor: 4.792

4.  Single nucleotide polymorphisms in immune response genes in acute Q fever cases with differences in self-reported symptoms.

Authors:  C C H Wielders; V H Hackert; B Schimmer; H M Hodemaekers; A de Klerk; C J P A Hoebe; P M Schneeberger; Y T H P van Duynhoven; R Janssen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-01-11       Impact factor: 3.267

5.  Contamination Scenario Matters when Using Viral and Bacterial Human-Associated Genetic Markers as Indicators of a Health Risk in Untreated Sewage-Impacted Recreational Waters.

Authors:  Mary E Schoen; Alexandria B Boehm; Jeffrey Soller; Orin C Shanks
Journal:  Environ Sci Technol       Date:  2020-10-08       Impact factor: 9.028

6.  A generalized dose-response relationship for adenovirus infection and illness by exposure pathway.

Authors:  P Teunis; J Schijven; S Rutjes
Journal:  Epidemiol Infect       Date:  2016-08-30       Impact factor: 4.434

7.  Transmission and dose-response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens.

Authors:  Andrew J K Conlan; John E Line; Kelli Hiett; Chris Coward; Pauline M Van Diemen; Mark P Stevens; Michael A Jones; Julia R Gog; Duncan J Maskell
Journal:  J R Soc Interface       Date:  2011-05-18       Impact factor: 4.118

8.  Waterborne microbial risk assessment: a population-based dose-response function for Giardia spp. (E.MI.R.A study).

Authors:  D Zmirou-Navier; L Gofti-Laroche; Ph Hartemann
Journal:  BMC Public Health       Date:  2006-05-03       Impact factor: 3.295

9.  A dose response model for Staphylococcus aureus.

Authors:  Srikiran Chandrasekaran; Sunny C Jiang
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

10.  Human dose response relation for airborne exposure to Coxiella burnetii.

Authors:  Russell John Brooke; Mirjam E E Kretzschmar; Nico T Mutters; Peter F Teunis
Journal:  BMC Infect Dis       Date:  2013-10-21       Impact factor: 3.090

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