Evidence map›Paper›PMID 28666604›Full record

ArticleEpidemics2017

A human time dose response model for Q fever.

Charles W Heppell, Joseph R Egan, Ian Hall

Abstract read
In one paragraph

Article in Epidemics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Serological Prevalence of and Risk Factors forInternational journal of environmental research and public health · 2022
    Article
  10. Article
  11. A Novel Marmoset (Frontiers in cellular and infection microbiology · 2020
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Charles W HeppellPublic Health England, Porton, Wiltshire SP4 0JG, United Kingdom. Electronic address: Charles.Heppell@phe.gov.uk.
Joseph R EganUniversity of Southampton, Hampshire SO17 1BJ, United Kingdom. Electronic address: J.R.Egan@soton.ac.uk.
Ian HallPublic Health England, Porton, Wiltshire SP4 0JG, United Kingdom. Electronic address: Ian.Hall@phe.gov.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The causative agent of Q fever, Coxiella burnetii, has the potential to be developed for use in biological warfare and it is classified as a bioterrorism threat agent by the Centers for Disease Control and Prevention (CDC) and as a category B select agent by the National Institute of Allergy and Infectious Diseases (NIAID). In this paper we focus on the in-host properties that arise when an individual inhales a dose of C. burnetii and establish a human time-dose response model. We also propagate uncertainty throughout the model allowing us to robustly estimate key properties including the infectious dose and incubation period. Using human study data conducted in the 1950's we conclude that the dose required for a 50% probability of infection is about 15 organisms, and that one inhaled organism of C. burnetti can cause infection in 5% of the exposed population. In addition, we derive a low dose incubation period of 17.6 days and an extracellular doubling time of half a day. In conclusion this paper provides a framework for detailing the parameters and approaches that would be required for risk assessments associated with exposures to C. burnetii that might cause human infection.

Indexed as

Inhalation ExposureCoxiella burnetiiHumansModels, TheoreticalQ FeverBacteriaCoxiella burnetiiDepositionHypergeometricMacrophageMathematical model

Identifiers

PMID28666604
PMCPMC5729200

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.