ArticleSystems research and behavioral science2022
Using simulation modelling and systems science to help contain COVID-19: A systematic review.
Article in Systems research and behavioral science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Trends and developments in health systems modeling: a bibliometric analysis.Frontiers in digital health · 2025Pooled it
- SEIRV epidemiological model for COVID 19 with Holling type II functional response.Scientific reports · 2026Article
- Machine Learning Optimization Algorithms for Clustering Regions and Emergency Management: A Review.Journal of multidisciplinary healthcare · 2026Review
- Urban pandemic governance personal protective equipment allocation strategies: a system dynamics simulation.Scientific reports · 2025Article
- Does a GP service package matter in addressing the absence of health management by the occupational population? A modelling study.BMC health services research · 2024Article
- COMOKIT v2: A multi-scale approach to modeling and simulating epidemic control policies.PloS one · 2024Article
- Spatial-temporal simulation for hospital infection spread and outbreaks of Clostridioides difficile.Scientific reports · 2023Article
- A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19.Heliyon · 2023Article
- Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, Belgium.Frontiers in public health · 2023Article
- Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency.AIMS public health · 2023Review
- Article
- Using simulation modelling and systems science to help contain COVID-19: A systematic review.Systems research and behavioral science · 2022Article
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 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study systematically reviews applications of three simulation approaches, that is, system dynamics model (SDM), agent-based model (ABM) and discrete event simulation (DES), and their hybrids in COVID-19 research and identifies theoretical and application innovations in public health. Among the 372 eligible papers, 72 focused on COVID-19 transmission dynamics, 204 evaluated both pharmaceutical and non-pharmaceutical interventions, 29 focused on the prediction of the pandemic and 67 investigated the impacts of COVID-19. ABM was used in 275 papers, followed by 54 SDM papers, 32 DES papers and 11 hybrid model papers. Evaluation and design of intervention scenarios are the most widely addressed area accounting for 55% of the four main categories, that is, the transmission of COVID-19, prediction of the pandemic, evaluation and design of intervention scenarios and societal impact assessment. The complexities in impact evaluation and intervention design demand hybrid simulation models that can simultaneously capture micro and macro aspects of the socio-economic systems involved.
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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.