ArticleEpidemics2015
Four key challenges in infectious disease modelling using data from multiple sources.
Article in Epidemics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 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
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Mechanistic models of Rift Valley fever virus transmission: A systematic review.PLoS neglected tropical diseases · 2022Pooled it
- Key questions for modelling COVID-19 exit strategies.Proceedings. Biological sciences · 2020Pooled it
- The impact of shielding on COVID-19 hospitalisations and deaths during 2020 in England: a transmission modelling evaluation using the OpenSAFELY platform.BMC medicine · 2026Article
- Silent reservoir species are shaping the emergence of Usutu virus.Nature ecology & evolution · 2026Article
- Retrospective analysis of age-specific non-pharmaceutical interventions on wild-type SARS-CoV-2 in Canada.BMC public health · 2026Article
- Influenza A/H3N2 epidemiology in England during the 2025 to 2026 season: a mathematical modelling study.Communications health · 2026Article
- A PARTIALLY DIFFUSIVE MODEL FOR FROGEYE LEAF SPOT EPIDEMICS IN SOYBEAN.Discrete and continuous dynamical systems. Series B · 2026Article
- Natural history parameters for enteric pathogens to inform modeling studies of diarrhea among children in low-resource settings: results from the MAL-ED longitudinal birth cohort.BMC infectious diseases · 2025Article
- Clinical progression parameters associated with SARS-CoV-2, influenza, and respiratory syncytial virus infections in a large US integrated healthcare population.PLoS computational biology · 2025Article
- Improving epidemiological projections for infectious diseases in Ghana: addressing methodological challenges.Global health research and policy · 2025Article
- A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo.Statistics in medicine · 2025Article
- Past, present, and future: a situational analysis of infectious disease modelling in Thailand.The Lancet regional health. Southeast Asia · 2025Review
- Estimating epidemic dynamics with genomic and time series data.Journal of the Royal Society, Interface · 2025Article
- Hotspots and Trends in Research on Early Warning of Infectious Diseases: A Bibliometric Analysis Using CiteSpace.Healthcare (Basel, Switzerland) · 2025Article
- Research gaps and priorities for quantitative microbial risk assessment (QMRA).Risk analysis : an official publication of the Society for Risk Analysis · 2024Article
- Symptom propagation in respiratory pathogens of public health concern: a review of the evidence.Journal of the Royal Society, Interface · 2024Review
- Accurate Estimation of Individual Transmission Rates Through Contact Analytics Using UWB Based Indoor Location Data.International Conference on Smart Applications, Communications and Networking : SmartNets. International Conference on Smart Applications, Communications and Networking · 2024Article
- ePyDGGA: automatic configuration for fitting epidemic curves.Scientific reports · 2024Article
- Accurately summarizing an outbreak using epidemiological models takes time.Royal Society open science · 2023Article
- An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling.PLoS computational biology · 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
5 authors.
Funding
Abstract
Public health-related decision-making on policies aimed at controlling epidemics is increasingly evidence-based, exploiting multiple sources of data. Policy makers rely on complex models that are required to be robust, realistically approximating epidemics and consistent with all relevant data. Meeting these requirements in a statistically rigorous and defendable manner poses a number of challenging problems. How to weight evidence from different datasets and handle dependence between them, efficiently estimate and critically assess complex models are key challenges that we expound in this paper, using examples from influenza modelling.
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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.