COVID-19: A New Wave of Chronic Disease
Bibliographic record
Abstract
While the number of deaths and hospitalizations caused by the novel coronavirus SARS-CoV-2 and the disease it causes (COVID-19) have captured public attention, a wave of chronic disease is also resulting from the pandemic. Some survivors of COVID-19, even those whose symptoms were too mild to warrant hospitalization, have struggled with persistent symptoms months after initial infection. SARS-CoV-2 affects several body systems and generates a wide variety of symptoms including dyspnea, myalgia, fatigue, and brain fog. It is yet unknown who is at risk of long-term disease, how long these symptoms may last, and what the long-term sequelae of the damage inflicted by this virus may be. NDs must adapt their practices to include consideration of COVID-19 as a differential diagnosis or root cause for a wide range of clinical presentations. The purpose of this article is to review the evidence of some of the longer-term effects and symptoms of COVID-19 that NDs may encounter in clinical practice, with background information on other post-infection syndromes for context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".