ArticleBMC medicine2017
Simulations for designing and interpreting intervention trials in infectious diseases.
Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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.
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
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Review of the Ring Trial Design for Evaluating Ring Interventions for Infectious Diseases.Epidemiologic reviews · 2022Pooled it
- Understanding the Effectiveness of Water, Sanitation, and Hygiene Interventions: A Counterfactual Simulation Approach to Generalizing the Outcomes of Intervention Trials.Environmental health perspectives · 2024Trial
- How radical is radical cure? Site-specific biases in clinical trials underestimate the effect of radical cure on Plasmodium vivax hypnozoites.Malaria journal · 2021Trial
- Disseminated Effects in Agent-Based Models: A Potential Outcomes Framework and Application to Inform Preexposure Prophylaxis Coverage Levels for HIV Prevention.American journal of epidemiology · 2021Trial
- Article
- Approximate inference for longitudinal mechanistic HIV contact network.Applied network science · 2024Article
- Does ignoring transmission dynamics lead to underestimation of the impact of interventions against mosquito-borne disease?BMJ global health · 2023Review
- Covariate-constrained randomization with cluster selection and substitution.Clinical trials (London, England) · 2023Article
- The changing health impact of vaccines in the COVID-19 pandemic: A modeling study.Cell reports · 2023Article
- Letter to the editor regarding "Covid-19 transmission in fitness centers in Norway - a randomized trial".BMC public health · 2022Article
- The ring vaccination trial design for the estimation of vaccine efficacy and effectiveness during infectious disease outbreaks.Clinical trials (London, England) · 2022Article
- Article
- Immunological heterogeneity informs estimation of the durability of vaccine protection.Journal of the Royal Society, Interface · 2022Article
- Response adaptive intervention allocation in stepped-wedge cluster randomized trials.Statistics in medicine · 2022Article
- Potential test-negative design study bias in outbreak settings: application to Ebola vaccination in Democratic Republic of Congo.International journal of epidemiology · 2022Article
- Inference is bliss: Simulation for power estimation for an observational study of a cholera outbreak intervention.PLoS neglected tropical diseases · 2022Observational
- Dynamical Modeling as a Tool for Inferring Causation.American journal of epidemiology · 2022Article
- Bayesian validation framework for dynamic epidemic models.Epidemics · 2021Article
- Article
- Estimating intervention effectiveness in trials of malaria interventions with contamination.Malaria journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
backgroundInterventions in infectious diseases can have both direct effects on individuals who receive the intervention as well as indirect effects in the population. In addition, intervention combinations can have complex interactions at the population level, which are often difficult to adequately assess with standard study designs and analytical methods. DISCUSSION: Herein, we urge the adoption of a new paradigm for the design and interpretation of intervention trials in infectious diseases, particularly with regard to emerging infectious diseases, one that more accurately reflects the dynamics of the transmission process. In an increasingly complex world, simulations can explicitly represent transmission dynamics, which are critical for proper trial design and interpretation. Certain ethical aspects of a trial can also be quantified using simulations. Further, after a trial has been conducted, simulations can be used to explore the possible explanations for the observed effects.
conclusionMuch is to be gained through a multidisciplinary approach that builds collaborations among experts in infectious disease dynamics, epidemiology, statistical science, economics, simulation methods, and the conduct of clinical trials.
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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.