Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data

Background: As a major zoonotic pathogen, characterization of the infectivity and pathogenicity of Coxiella burnetii is essential to understand Q-fever epidemiology. Objectives: We want to extend a recently published human dose response model based on experimental challenge of young adult males to i...

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Main Authors: Russell John Brooke, Nico T. Mutters, Olivier Péter, Mirjam E.E. Kretzschmar, Peter F.M. Teunis
Format: Article
Language:English
Published: Elsevier 2015-06-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436514000735
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spelling doaj-a7bf646eaaf941b186f7ce26ccc260ef2020-11-24T22:40:47ZengElsevierEpidemics1755-43651878-00672015-06-0111C1610.1016/j.epidem.2014.12.004Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak dataRussell John Brooke0Nico T. Mutters1Olivier Péter2Mirjam E.E. Kretzschmar3Peter F.M. Teunis4Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The NetherlandsDepartment of Infectious Diseases, Medical Microbiology and Hygiene, Heidelberg University Hospital, Heidelberg, GermanyUnit of Infectious Diseases, Institut Central des Hopitaux Valaisans, Sion, SwitzerlandJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The NetherlandsCentre for Infectious Disease Control, RIVM, Bilthoven, The NetherlandsBackground: As a major zoonotic pathogen, characterization of the infectivity and pathogenicity of Coxiella burnetii is essential to understand Q-fever epidemiology. Objectives: We want to extend a recently published human dose response model based on experimental challenge of young adult males to include other age groups and both genders. Additionally, we can estimate the spatial distribution of exposure based on observed outbreak data. Methods: Dose response assessment based on human challenge, is extended by including outbreak data, using location of cases as a proxy for exposure. This allows estimation of the influence of age and gender on the probability of developing symptoms of acute respiratory illness. Results: In an outbreak in Switzerland, in 1983, exposure to C. burnetii was shown to depend strongly on distance from the source. The susceptibility of males to develop Q-fever decreases with age, while in females, middle-aged women appear to have the lowest risk. Conclusions: The published dose response model for Q-fever, based on experimental challenge of a small group of human volunteers, has been updated with data from a well studied outbreak. Infectivity estimates remain high, and even low doses (of 10 or fewer organisms) cause a high risk of illness.http://www.sciencedirect.com/science/article/pii/S1755436514000735Q-feverCoxiella burnetiiOutbreakDose responseExposure estimates
collection DOAJ
language English
format Article
sources DOAJ
author Russell John Brooke
Nico T. Mutters
Olivier Péter
Mirjam E.E. Kretzschmar
Peter F.M. Teunis
spellingShingle Russell John Brooke
Nico T. Mutters
Olivier Péter
Mirjam E.E. Kretzschmar
Peter F.M. Teunis
Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data
Epidemics
Q-fever
Coxiella burnetii
Outbreak
Dose response
Exposure estimates
author_facet Russell John Brooke
Nico T. Mutters
Olivier Péter
Mirjam E.E. Kretzschmar
Peter F.M. Teunis
author_sort Russell John Brooke
title Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data
title_short Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data
title_full Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data
title_fullStr Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data
title_full_unstemmed Exposure to low doses of Coxiella burnetii caused high illness attack rates: Insights from combining human challenge and outbreak data
title_sort exposure to low doses of coxiella burnetii caused high illness attack rates: insights from combining human challenge and outbreak data
publisher Elsevier
series Epidemics
issn 1755-4365
1878-0067
publishDate 2015-06-01
description Background: As a major zoonotic pathogen, characterization of the infectivity and pathogenicity of Coxiella burnetii is essential to understand Q-fever epidemiology. Objectives: We want to extend a recently published human dose response model based on experimental challenge of young adult males to include other age groups and both genders. Additionally, we can estimate the spatial distribution of exposure based on observed outbreak data. Methods: Dose response assessment based on human challenge, is extended by including outbreak data, using location of cases as a proxy for exposure. This allows estimation of the influence of age and gender on the probability of developing symptoms of acute respiratory illness. Results: In an outbreak in Switzerland, in 1983, exposure to C. burnetii was shown to depend strongly on distance from the source. The susceptibility of males to develop Q-fever decreases with age, while in females, middle-aged women appear to have the lowest risk. Conclusions: The published dose response model for Q-fever, based on experimental challenge of a small group of human volunteers, has been updated with data from a well studied outbreak. Infectivity estimates remain high, and even low doses (of 10 or fewer organisms) cause a high risk of illness.
topic Q-fever
Coxiella burnetii
Outbreak
Dose response
Exposure estimates
url http://www.sciencedirect.com/science/article/pii/S1755436514000735
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