ArticleResearch synthesis methods2019
The use of mathematical modeling studies for evidence synthesis and guideline development: A glossary.
Article in Research synthesis methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
28 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Simulating contact networks for livestock disease epidemiology: a systematic review.Journal of the Royal Society, Interface · 2023Pooled it
- Infectious disease modelling for SARS-CoV-2 in Africa to guide policy: A systematic review.Epidemics · 2022Pooled it
- Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Face Mask Use in the Community for Reducing the Spread of COVID-19: A Systematic Review.Frontiers in medicine · 2020Pooled it
- Model-Based Economic Analyses of Haemophilia from a Societal Perspective: A Scoping Review.PharmacoEconomics - open · 2026Review
- Calibration of transmission-dynamic infectious disease models: A scoping review and reporting framework.PLoS computational biology · 2025Article
- Article
- Beyond Biology: Uncovering Structural and Sociocultural Predictors of Breast Cancer Incidence Worldwide.Current oncology (Toronto, Ont.) · 2025Article
- Article
- Explaining "U-shaped" distributions of population substance use with a simple computational approach.Journal of artificial societies and social simulation : JASSS · 2025Article
- Mathematical Modelling for Community Based Intervention for Managing Diabetes: A Systematic Literature Review.Journal of multidisciplinary healthcare · 2025Review
- A competency framework on simulation modelling-supported decision-making for Master of Public Health graduates.Journal of public health (Oxford, England) · 2024Review
- DElaying Disease Progression In COPD with Early Initiation of Dual Bronchodilator or Triple Inhaled PharmacoTherapy (DEPICT): A Predictive Modelling Approach.Advances in therapy · 2023Article
- Different Trajectories for Diabetes Mellitus Onset and Recovery According to the Centralized Aerobic-Anaerobic Energy Balance Compensation Theory.Biomedicines · 2023Article
- Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan.Healthcare (Basel, Switzerland) · 2023Article
- Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review.Progress in planning · 2023Article
- A mathematical model for transmission dynamics of COVID-19 infection.European physical journal plus · 2023Article
- Short-Term and Long-Term COVID-19 Pandemic Forecasting Revisited with the Emergence of OMICRON Variant in Jordan.Vaccines · 2022Article
- Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.PLoS medicine · 2021Article
- How are mathematical models and results from mathematical models of vaccine-preventable diseases used, or not, by global health organisations?BMJ global health · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Mathematical modeling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with using the results of modeling studies, because, at least in part, of the lack of a common understanding of concepts and terminology between evidence synthesis experts and mathematical modellers. The use of a common terminology for modeling studies across different clinical and epidemiological research fields that span infectious and non-communicable diseases will help systematic reviewers and guideline developers with the understanding, characterisation, comparison, and use of mathematical modeling studies. This glossary explains key terms used in mathematical modeling studies that are particularly salient to evidence synthesis and knowledge translation in clinical medicine and public health.
Indexed as
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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 Socratic graph.