ArticleEmerging themes in epidemiology2013
Trends in parameterization, economics and host behaviour in influenza pandemic modelling: a review and reporting protocol.
Article in Emerging themes in epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Unremarked or Unperformed? Systematic Review on Reporting of Validation Efforts of Health Economic Decision Models in Seasonal Influenza and Early Breast Cancer.PharmacoEconomics · 2016Pooled it
- A systematic review of studies on forecasting the dynamics of influenza outbreaks.Influenza and other respiratory viruses · 2014Pooled it
- Simulation models for socioeconomic inequalities in health: a systematic review.International journal of environmental research and public health · 2013Pooled it
- Asymmetric limits on timely interventions from noisy epidemic data.Communications physics · 2025Article
- A New Paradigm for Pandemic Preparedness.Current epidemiology reports · 2023Article
- Rapid review of COVID-19 epidemic estimation studies for Iran.BMC public health · 2021Review
- Virulence-mediated infectiousness and activity trade-offs and their impact on transmission potential of influenza patients.Proceedings. Biological sciences · 2020Article
- Modelling for policy: The five principles of the Neglected Tropical Diseases Modelling Consortium.PLoS neglected tropical diseases · 2020Review
- The impact of opening dedicated clinics on disease transmission during an influenza pandemic.PloS one · 2020Article
- Article
- National assessment of Canadian pandemic preparedness: Employing InFluNet to identify high-risk areas for inter-wave vaccine distribution.Infectious Disease Modelling · 2017Article
- Modelling community-control strategies to protect hospital resources during an influenza pandemic in Ottawa, Canada.PloS one · 2017Article
- Beyond crystal balls: crosscutting solutions in global health to prepare for an unpredictable future.BMC public health · 2015Article
- Entry screening for infectious diseases in humans.Emerging infectious diseases · 2015Review
- Influenza-like illness, the time to seek healthcare, and influenza antiviral receipt during the 2010-2011 influenza season-United States.The Journal of infectious diseases · 2014Article
- Influenza: environmental remodeling, population dynamics, and the need to understand networks.Frontiers in public health · 2014Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe volume of influenza pandemic modelling studies has increased dramatically in the last decade. Many models incorporate now sophisticated parameterization and validation techniques, economic analyses and the behaviour of individuals.
methodsWe reviewed trends in these aspects in models for influenza pandemic preparedness that aimed to generate policy insights for epidemic management and were published from 2000 to September 2011, i.e. before and after the 2009 pandemic.
resultsWe find that many influenza pandemics models rely on parameters from previous modelling studies, models are rarely validated using observed data and are seldom applied to low-income countries. Mechanisms for international data sharing would be necessary to facilitate a wider adoption of model validation. The variety of modelling decisions makes it difficult to compare and evaluate models systematically.
conclusionsWe propose a model Characteristics, Construction, Parameterization and Validation aspects protocol (CCPV protocol) to contribute to the systematisation of the reporting of models with an emphasis on the incorporation of economic aspects and host behaviour. Model reporting, as already exists in many other fields of modelling, would increase confidence in model results, and transparency in their assessment and comparison.
Identifiers
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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.