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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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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