ArticleScientific reports2018
Assessing the Use of Influenza Forecasts and Epidemiological Modeling in Public Health Decision Making in the United States.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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.
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Who cites it
17 citing papers in PubMed.
- Learning shared forecast-error structure to improve ensemble forecasts of seasonal respiratory outbreaks.medRxiv : the preprint server for health sciences · 2026Article
- Assessment of simulation-based inference methods for stochastic compartmental models in epidemiological research.PloS one · 2026Article
- FaXNet: a frequency-adaptive, explainable, and uncertainty-aware network for influenza forecasting.Frontiers in public health · 2026Article
- The future of pandemic modeling in support of decision making: lessons learned from COVID-19.BMC global and public health · 2025Article
- When are predictions useful? A new method for evaluating epidemic forecasts.BMC global and public health · 2024Article
- An inaugural forum on epidemiological modeling for public health stakeholders in Arizona.Frontiers in public health · 2024Article
- Differences in COVID-19 cyclicity and predictability among U.S. counties and states reflect the effectiveness of protective measures.Scientific reports · 2023Article
- Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020.Scientific reports · 2023Article
- Assessing the accuracy of California county level COVID-19 hospitalization forecasts to inform public policy decision making.BMC public health · 2023Article
- Real-time estimation and forecasting of COVID-19 cases and hospitalizations in Wisconsin HERC regions for public health decision making processes.BMC public health · 2023Article
- Empirical Modeling of COVID-19 Evolution with High/Direct Impact on Public Health and Risk Assessment.International journal of environmental research and public health · 2022Article
- COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling.Epidemics · 2021Article
- Empirical model for short-time prediction of COVID-19 spreading.PLoS computational biology · 2020Article
- Event Detection System Based on User Behavior Changes in Online Social Networks: Case of the COVID-19 Pandemic.IEEE access : practical innovations, open solutions · 2020Article
- Infectious disease pandemic planning and response: Incorporating decision analysis.PLoS medicine · 2020Review
- Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples.BMC public health · 2019Article
- Using "outbreak science" to strengthen the use of models during epidemics.Nature communications · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Although forecasts and other mathematical models have the potential to play an important role in mitigating the impact of infectious disease outbreaks, the extent to which these tools are used in public health decision making in the United States is unclear. Throughout 2015, we invited public health practitioners belonging to three national public health organizations to complete a cross-sectional survey containing questions on model awareness, model use, and communication with modelers. Of 39 respondents, 46.15% used models in their work, and 20.51% reported direct communication with those who create models. Over half (64.10%) were aware that influenza forecasts exist. The need for improved communication between practitioners and modelers was overwhelmingly endorsed, with over 50% of participants indicating the need for models more relevant to public health questions, increased frequency of telecommunication, and more plain language in discussing models. Model use for public health decision making must be improved if models are to reach their full potential as public health tools. Increased quality and frequency of communication between practitioners and modelers could be particularly useful in achieving this goal. It is important that improvements be made now, rather than waiting for the next public health crisis to occur.
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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.