ArticleHealth security
Applying the Ready, Willing, and Able Framework to Assess Agency Public Health Emergency Preparedness: The CDC Perspective.
Article in Health security. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 11 citations in OpenAlex.
- Ready, willing, and able: understanding opioid overdose preparedness among college students in the southwestern United States.Frontiers in public health · 2026Article
- Building systems for preparedness: Global scoping studies on institutional governance and National Public Health Agencies.PLOS global public health · 2026Article
- Enhancing a Willingness to Respond to Disasters and Public Health Emergencies Among Health Care Workers, Using mHealth Intervention: A Multidisciplinary Approach.Disaster medicine and public health preparedness · 2023Article
- Assessing COVID-19 Pandemic Risk Perception and Response Preparedness in Veterinary and Animal Care Workers.Health securityArticle
- COVID-19 Pandemic Response Preparedness and Risk Perceptions Among Peruvian Veterinarians and Animal Care Workers.Health securityArticle
- Assessing US Small Animal Veterinary Clinic Adaptations and Their Impacts on Workforce COVID-19 Preparedness and Response.Health securityArticle
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 at 1 institution in 2 countries.
Funding
Abstract
Public health emergencies in the United States have been complex, frequent, and increasingly costly in the past decade, at times overwhelming government agencies that are primarily resourced for routine, nonemergency health functions. Emergencies are not always predictable, and adequate resources are not always available to prepare staff in advance for emergency response roles and to mobilize them quickly when a new threat emerges. Additionally, real-world data that connect preparedness levels to response outcomes may be difficult to obtain, further limiting continuous quality improvement efforts by public health officials. In this article, we apply the Ready, Willing, and Able (RWA) framework to identify areas for improvement related to organizational and staff readiness, willingness, and ability to respond during a public health emergency. We share emergency response deployment, training, and personnel data collected as part of emergency response activations (2008 to 2018) at the Centers for Disease Control and Prevention to illustrate how the framework may be applied at government agencies to improve response processes and effectiveness. Additionally, we propose potential metrics aligned with the framework constructs that may help emergency managers consistently assess agency preparedness and, over time, be incorporated into broader standardized measurement methods. We conclude that the RWA framework is a practical tool that can complement other preparedness approaches currently in use at government public health agencies.
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What OpenQuestion holds
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.