ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
Dose-response and transmission: the nexus between reservoir hosts, environment and recipient hosts.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of health risk assessment in Africa's bushmeat trade: Are there any risks assessed?PLoS neglected tropical diseases · 2026Pooled it
- Periodic shifts in viral load increase risk of Hendra virus spillover fromScience advances · 2026Article
- From Trait-Structured Within-Host Dynamics to SIR Models: A Multiscale Framework With Re-Exposure.Bulletin of mathematical biology · 2026Article
- Deliberating the scientific evidence base for influenza transmission to raw milk consumers.Risk analysis : an official publication of the Society for Risk Analysis · 2025Review
- Early epidemiological characteristics explain the chance of population-level virus persistence following spillover events.PLoS biology · 2025Article
- Diet composition affects bat viral shedding with potential consequences for pathogen spillover.Proceedings. Biological sciences · 2025Article
- Virulence and transmission biology of the widespread, ecologically important pathogen of zooplankton,Applied and environmental microbiology · 2024Article
- Host Barriers Limit Viral Spread in a Spillover Host: A Study of Deformed Wing Virus in the BumblebeeViruses · 2024Article
- Is there a sicker sex? Dose relationships modify male-female differences in infection prevalence.Proceedings. Biological sciences · 2024Article
- Quantifying stochastic establishment of mutants in microbial adaptation.Microbiology (Reading, England) · 2023Review
- Amphibian infection tolerance to chytridiomycosis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Experimental cross species transmission of a major viral pathogen in bees is predominantly from honeybees to bumblebees.Proceedings. Biological sciences · 2022Article
- Transmission risk of SARS-CoV-2 in the watershed triggered by domestic wastewater discharge.The Science of the total environment · 2022Article
- From Protein to Pandemic: The Transdisciplinary Approach Needed to Prevent Spillover and the Next Pandemic.Viruses · 2021Review
- Host population dynamics in the face of an evolving pathogen.The Journal of animal ecology · 2021Article
- Transient disease dynamics across ecological scales.Theoretical ecology · 2021Article
- A Continuous Model of Three Scenarios of the Infection Process with Delayed Immune Response Factors.Biophysics · 2021Article
- COVID-19: Does the infectious inoculum dose-response relationship contribute to understanding heterogeneity in disease severity and transmission dynamics?Medical hypotheses · 2021Article
- SARS-CoV-2 in wastewater: State of the knowledge and research needs.The Science of the total environment · 2020Review
- What is stirring in the reservoir? Modelling mechanisms of henipavirus circulation in fruit bat hosts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dose is the nexus between exposure and all upstream processes that determine pathogen pressure, and is thereby an important element underlying disease dynamics. Understanding the relationship between dose and disease is particularly important in the context of spillover, where nonlinearities in the dose-response could determine the likelihood of transmission. There is a need to explore dose-response models for directly transmitted and zoonotic pathogens, and how these interactions integrate within-host factors to consider, for example, heterogeneity in host susceptibility and dose-dependent antagonism. Here, we review the dose-response literature and discuss the unique role dose-response models have to play in understanding and predicting spillover events. We present a re-analysis of dose-response experiments for two important zoonotic pathogens (Middle East respiratory syndrome coronavirus and Nipah virus), to exemplify potential difficulties in differentiating between appropriate models with small exposure experiment datasets. We also discuss the data requirements needed for robust selection between dose-response models. We then suggest how these processes could be modelled to gain more realistic predictions of zoonotic transmission outcomes and highlight the exciting opportunities that could arise with increased collaboration between the virology and epidemiology disciplines. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.
Indexed as
Identifiers
What OpenQuestion holds
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.