ArticleJournal of the Royal Society, Interface2014
A dose and time response Markov model for the in-host dynamics of infection with intracellular bacteria following inhalation: with application to Francisella tularensis.
Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and meta-analysis on the incubation period of Campylobacteriosis.Epidemiology and infection · 2017Pooled it
- A within-host birth-death and time-dose-response model for Legionnaires' disease.Royal Society open science · 2025Article
- Quantitative Microbial Risk Assessment of Antibiotic-ResistantEnvironmental science & technology · 2024Article
- Using mixture density networks to emulate a stochastic within-host model of Francisella tularensis infection.PLoS computational biology · 2023Article
- A comprehensive modelling approach to estimate the transmissibility of coronavirus and its variants from infected subjects in indoor environments.Scientific reports · 2022Article
- A dose response model for Staphylococcus aureus.Scientific reports · 2021Article
- A Review of Using Mathematical Modeling to Improve Our Understanding of Bacteriophage, Bacteria, and Eukaryotic Interactions.Frontiers in microbiology · 2021Review
- Stochastic dynamics of Francisella tularensis infection and replication.PLoS computational biology · 2020Article
- A dose response model for quantifying the infection risk of antibiotic-resistant bacteria.Scientific reports · 2019Article
- Early treatment gains for antibiotic administration and within human host time series data.Mathematical medicine and biology : a journal of the IMA · 2018Article
- A Novel Stochastic Multi-Scale Model ofFrontiers in microbiology · 2018Article
- A human time dose response model for Q fever.Epidemics · 2017Article
- Multiplicity of Mathematical Modeling Strategies to Search for Molecular and Cellular Insights into Bacteria Lung Infection.Frontiers in physiology · 2017Review
- Comparison among the Quantification of Bacterial Pathogens by qPCR, dPCR, and Cultural Methods.Frontiers in microbiology · 2017Article
- A review of back-calculation techniques and their potential to inform mitigation strategies with application to non-transmissible acute infectious diseases.Journal of the Royal Society, Interface · 2015Review
- Modeling early events in Francisella tularensis pathogenesis.Frontiers in cellular and infection microbiology · 2014Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
In a novel approach, the standard birth-death process is extended to incorporate a fundamental mechanism undergone by intracellular bacteria, phagocytosis. The model accounts for stochastic interaction between bacteria and cells of the immune system and heterogeneity in susceptibility to infection of individual hosts within a population. Model output is the dose-response relation and the dose-dependent distribution of time until response, where response is the onset of symptoms. The model is thereafter parametrized with respect to the highly virulent Schu S4 strain of Francisella tularensis, in the first such study to consider a biologically plausible mathematical model for early human infection with this bacterium. Results indicate a median infectious dose of about 23 organisms, which is higher than previously thought, and an average incubation period of between 3 and 7 days depending on dose. The distribution of incubation periods is right-skewed up to about 100 organisms and symmetric for larger doses. Moreover, there are some interesting parallels to the hypotheses of some of the classical dose-response models, such as independent action (single-hit model) and individual effective dose (probit model). The findings of this study support experimental evidence and postulations from other investigations that response is, in fact, influenced by both in-host and between-host variability.
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Registered trials
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.