ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021
Epidemic interventions: insights from classic results.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Data-driven strategies for model-informed decision-making during the COVID-19 pandemic: a systematic review.BMJ open · 2026Pooled it
- Final-Size Solutions for SIRI Models with Vaccination.Bulletin of mathematical biology · 2026Article
- Dynamics of an epidemic controlled by isolation and quarantine: A probability-based deterministic model.Infectious Disease Modelling · 2025Article
- Is SARS-CoV-2 elimination or mitigation best? Regional and disease characteristics determine the recommended strategy.Royal Society open science · 2024Article
- Non-pharmaceutical interventions to reduce COVID-19 transmission in the UK: a rapid mapping review and interactive evidence gap map.Journal of public health (Oxford, England) · 2024Review
- Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Minimising the use of costly control measures in an epidemic elimination strategy: A simple mathematical model.Mathematical biosciences · 2022Article
- Evaluating strategies for spatial allocation of vaccines based on risk and centrality.Journal of the Royal Society, Interface · 2022Article
- Modelling that shaped the early COVID-19 pandemic response in the UK.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 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
2 authors.
Funding
Abstract
Analytical expressions and approximations from simple models have performed a pivotal role in our understanding of infectious disease epidemiology. During the current COVID-19 pandemic, while there has been proliferation of increasingly complex models, still the most basic models have provided the core framework for our thinking and interpreting policy decisions. Here, classic results are presented that give insights into both the role of transmission-reducing interventions (such as social distancing) in controlling an emerging epidemic, and also what would happen if insufficient control is applied. Though these are simple results from the most basic of epidemic models, they give valuable benchmarks for comparison with the outputs of more complex modelling approaches. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'.
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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.