ReviewComputer methods and programs in biomedicine2021
A review of mathematical model-based scenario analysis and interventions for COVID-19.
Review in Computer methods and programs in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Transmission models of respiratory infections in carceral settings: A systematic review.Epidemics · 2025Pooled it
- Survey on mathematical modeling of infectious disease dynamics: insights and applications.BMC infectious diseases · 2026Review
- SEIRV epidemiological model for COVID 19 with Holling type II functional response.Scientific reports · 2026Article
- Optimal pooling strategies for respiratory virus testing: A comparative cost-effectiveness analysis.PLOS global public health · 2026Article
- The impact of non-pharmaceutical interventions on COVID-19 transmission and its effect on life expectancy in two European regions.BMC public health · 2025Article
- Data-driven Bayesian networks for risk scenario mapping of Falls from height accidents.PloS one · 2025Article
- EpiFusion: Joint inference of the effective reproduction number by integrating phylodynamic and epidemiological modelling with particle filtering.PLoS computational biology · 2024Article
- Modeling the burden of long COVID in California with quality adjusted life-years (QALYS).Scientific reports · 2024Article
- Canada's provincial COVID-19 pandemic modelling efforts: A review of mathematical models and their impacts on the responses.Canadian journal of public health = Revue canadienne de sante publique · 2024Review
- Enhanced SARS-CoV-2 case prediction using public health data and machine learning models.JAMIA open · 2024Article
- Analysis of the yearly transition function in measles disease modeling.Statistics in medicine · 2024Article
- Modeling long COVID dynamics: Impact of underlying health conditions.Journal of theoretical biology · 2024Article
- A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile.Journal of biological dynamics · 2023Article
- A Mechanistic Model for Long COVID Dynamics.Mathematics (Basel, Switzerland) · 2023Article
- Social contact patterns among employees in U.S. long-term care facilities during the COVID-19 pandemic, December 2020 to June 2021.BMC research notes · 2023Article
- Modeling the XBB strain of SARS-CoV-2: Competition between variants and impact of reinfection.Journal of theoretical biology · 2023Article
- A two-phase fluid model for epidemic flow.Infectious Disease Modelling · 2023Article
- A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19.Infectious Disease Modelling · 2023Article
- Hybrid discrete-time-continuous-time models and a SARS CoV-2 mystery: Sub-Saharan Africa's low SARS CoV-2 disease burden.Journal of mathematical biology · 2023Article
- A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility.Nonlinear dynamics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness of various scenarios, and more accurate forecast of the trends with and without interventions. However, due to the outpouring of information and disparity between reported mathematical models, there exists a need for a more concise and unified discussion pertaining to the mathematical modeling of COVID-19 to overcome related skepticism. Towards this goal, this paper presents a review of mathematical model-based scenario analysis and interventions for COVID-19 with the main objectives of (1) including a brief overview of the existing reviews on mathematical models, (2) providing an integrated framework to unify models, (3) investigating various mitigation strategies and model parameters that reflect the effect of interventions, (4) discussing different mathematical models used to conduct scenario-based analysis, and (5) surveying active control methods used to combat COVID-19.
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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.