Getting ready to act: theorising a stepwise transition into crisis response at points of entry based on interviews with COVID-19 responders and a military preparedness framework
Bibliographic record
Abstract
INTRODUCTION: Points of entry (POE) have an important role in timely national response to infectious diseases threats. However, a guiding framework is lacking for the transition from generic preparedness into optimally specified response for an imminent infectious disease threat, a step called 'operational readiness'. OBJECTIVE: We aim to contribute to the conceptual closure of this preparedness-response gap for infectious disease control at POE by providing content to the operational readiness concept. DESIGN: We first explored the NATO Combat Readiness (NCR) concept for its applicability on infectious disease control at POE, as the military discipline faces the same need of being flexible in preparing for unknown threats. Concepts of the NCR that support the transition into response to a specific threat were integrated into the operational readiness concept. To explore the added value of the concept in practice, we conducted and analysed semistructured interviews of professionals at European POE (n=24) responsible for the early COVID-19 response. RESULTS: Based on the NCR, operational readiness builds on the fact that activating the response capabilities and capacities to a specific threat requires time. For professionals at POE, the transition from generic preparedness into the COVID-19 response led to challenges in specifying response plans, dealing with an overload of information, while experiencing shortages of public health staff. These challenges could be covered within operational readiness by defining the time and the specific staging needed to upgrade response capabilities and capacities. DISCUSSION: We conclude that a guiding framework for operational readiness seems appropriate in relation to the many activities and challenges POE have had to face during the COVID-19 response. Operational readiness is mainly defined by the time dimension required to deploy the response to a specific threat. However, integrating this conceptual framework into practice requires structural and sustainable investments in outbreak preparedness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.031 |
| Scholarly communication | 0.011 | 0.020 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".