ArticlePLoS computational biology2021
Testing, tracing and isolation in compartmental models.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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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Who cites it
24 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
- Estimating the effect of contact tracing during the early stage of an epidemic.Infectious Disease Modelling · 2025Article
- Smart epidemic control: A hybrid model blending ODEs and agent-based simulations for optimal, real-world intervention planning.PLoS computational biology · 2025Article
- Mathematical Contact Tracing Models for the COVID-19 Pandemic: A Systematic Review of the Literature.Healthcare (Basel, Switzerland) · 2025Review
- Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies.Biology methods & protocols · 2025Article
- A novel indicator in epidemic monitoring through a case study of Ebola in West Africa (2014-2016).Scientific reports · 2024Article
- A mathematical model to assess the effectiveness of test-trace-isolate-and-quarantine under limited capacities.PloS one · 2024Article
- An adaptive testing strategy for efficient utilization of healthcare resources during an epidemic.Journal of theoretical biology · 2023Article
- Assessing potential insights of an imperfect testing strategy: Parameter estimation and practical identifiability using early COVID-19 data in India.Communications in nonlinear science & numerical simulation · 2023Article
- A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19.Infectious Disease Modelling · 2023Article
- Assessing the transmissibility of epidemics involving epidemic zoning.BMC infectious diseases · 2023Article
- Assessing the Impact of Contact Tracing, Quarantine and Red Zone on the Dynamical Evolution of the Covid-19 Pandemic using the Cellular Automata Approach and the Resulting Mean Field System: A Case study in Mauritius.Applied mathematical modelling · 2022Article
- A hybrid stochastic model and its Bayesian identification for infectious disease screening in a university campus with application to massive COVID-19 screening at the University of Liège.Mathematical biosciences · 2022Article
- How optimal allocation of limited testing capacity changes epidemic dynamics.Journal of theoretical biology · 2022Article
- Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants in Germany.BMC infectious diseases · 2022Article
- Microsimulation based quantitative analysis of COVID-19 management strategies.PLoS computational biology · 2022Article
- Internet of Things Based Contact Tracing Systems.Sensors (Basel, Switzerland) · 2021Review
- Low case numbers enable long-term stable pandemic control without lockdowns.Science advances · 2021Article
- Towards a new approach for managing pandemics: Hybrid resilience and bowtie modelling.Safety science · 2021Article
- Covasim: An agent-based model of COVID-19 dynamics and interventions.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Existing compartmental mathematical modelling methods for epidemics, such as SEIR models, cannot accurately represent effects of contact tracing. This makes them inappropriate for evaluating testing and contact tracing strategies to contain an outbreak. An alternative used in practice is the application of agent- or individual-based models (ABM). However ABMs are complex, less well-understood and much more computationally expensive. This paper presents a new method for accurately including the effects of Testing, contact-Tracing and Isolation (TTI) strategies in standard compartmental models. We derive our method using a careful probabilistic argument to show how contact tracing at the individual level is reflected in aggregate on the population level. We show that the resultant SEIR-TTI model accurately approximates the behaviour of a mechanistic agent-based model at far less computational cost. The computational efficiency is such that it can be easily and cheaply used for exploratory modelling to quantify the required levels of testing and tracing, alone and with other interventions, to assist adaptive planning for managing disease outbreaks.
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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.