SynthesisBMC infectious diseases2017
Mathematical models used to inform study design or surveillance systems in infectious diseases: a systematic review.
Synthesis in BMC infectious diseases, 2017. 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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Critical Appraisal of Decision Models Used for the Economic Evaluation of Bladder Cancer Screening and Diagnosis: A Systematic Review.PharmacoEconomics · 2023Pooled it
- Review
- Fractional order modeling of hepatitis B virus transmission with imperfect vaccine efficacy.Scientific reports · 2025Article
- Article
- COVID-19 pandemic spread against countries' non-pharmaceutical interventions responses: a data-mining driven comparative study.BMC public health · 2021Article
- Article
- Containment effort reduction and regrowth patterns of the Covid-19 spreading.Infectious Disease Modelling · 2021Article
- Trypanosoma cruzi transmission dynamics in a synanthropic and domesticated host community.PLoS neglected tropical diseases · 2019Article
- Confronting models with data: the challenges of estimating disease spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Governance of tuberculosis control programme in Nigeria.Infectious diseases of poverty · 2019Review
- BOARD INVITED REVIEW: Prospects for improving management of animal disease introductions using disease-dynamic models.Journal of animal science · 2019Review
- Sample size calculation for estimating key epidemiological parameters using serological data and mathematical modelling.BMC medical research methodology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMathematical models offer the possibility to investigate the infectious disease dynamics over time and may help in informing design of studies. A systematic review was performed in order to determine to what extent mathematical models have been incorporated into the process of planning studies and hence inform study design for infectious diseases transmitted between humans and/or animals.
methodsWe searched Ovid Medline and two trial registry platforms (Cochrane, WHO) using search terms related to infection, mathematical model, and study design from the earliest dates to October 2016. Eligible publications and registered trials included mathematical models (compartmental, individual-based, or Markov) which were described and used to inform the design of infectious disease studies. We extracted information about the investigated infection, population, model characteristics, and study design.
resultsWe identified 28 unique publications but no registered trials. Focusing on compartmental and individual-based models we found 12 observational/surveillance studies and 11 clinical trials. Infections studied were equally animal and human infectious diseases for the observational/surveillance studies, while all but one between humans for clinical trials. The mathematical models were used to inform, amongst other things, the required sample size (n = 16), the statistical power (n = 9), the frequency at which samples should be taken (n = 6), and from whom (n = 6).
conclusionsDespite the fact that mathematical models have been advocated to be used at the planning stage of studies or surveillance systems, they are used scarcely. With only one exception, the publications described theoretical studies, hence, not being utilised in real studies.
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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.