ArticleInterface focus2012
Dynamic noise, chaos and parameter estimation in population biology.
Article in Interface focus, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mathematical models for dengue fever epidemiology: A 10-year systematic review.Physics of life reviews · 2022Pooled it
- Parameter estimation for contact tracing in graph-based models.Journal of the Royal Society, Interface · 2023Article
- Article
- Integrative modelling for One Health: pattern, process and participation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- The Impact of the Newly Licensed Dengue Vaccine in Endemic Countries.PLoS neglected tropical diseases · 2016Article
- Are we modelling the correct dataset? Minimizing false predictions for dengue fever in Thailand.Epidemiology and infection · 2014Article
- Epidemiological risk factors associated with high global frequency of inapparent dengue virus infections.Frontiers in immunology · 2014Review
- Towards the marriage of theory and data.Interface focus · 2012Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We revisit the parameter estimation framework for population biological dynamical systems, and apply it to calibrate various models in epidemiology with empirical time series, namely influenza and dengue fever. When it comes to more complex models such as multi-strain dynamics to describe the virus-host interaction in dengue fever, even the most recently developed parameter estimation techniques, such as maximum likelihood iterated filtering, reach their computational limits. However, the first results of parameter estimation with data on dengue fever from Thailand indicate a subtle interplay between stochasticity and the deterministic skeleton. The deterministic system on its own already displays complex dynamics up to deterministic chaos and coexistence of multiple attractors.
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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.