Did acute COVID-19 public health measures lead to enhanced susceptibility to later infections in paediatric populations?
Bibliographic record
Abstract
During the COVID-19 pandemic, a variety of infection control measures-including masking, increased sanitation and social distancing-were used in efforts to reduce the transmission of SARS-CoV-2.These were effective at that time-but did they inadvertently enhance our susceptibility to infections down the line?In late 2022, there was significant surge globally in paediatric patients presenting to accident and emergency departments with severe respiratory illnesses particularly associated with influenza and respiratory syncytial virus infections.Was this due to our nationwide infection control mechanisms resulting in our immune systems being significantly less exposed to infectious challenges and thus, lacked an appropriate pathogen-specific response to future infections.And in particular relevance to a paediatric population, the potential that a reduction in maternal exposure to common respiratory viruses may have also led to the reduced transference of transplacental antibodies in infants, thus leaving young infants more vulnerable to viral infections.The QJM has previously published definitive articles on the epidemiology and prognosis of acute COVID-19 infection in paediatric populations. 1 As we learn to live with the COVID-19 virus, we welcome the Commentary piece by Dr. Deng and colleagues from the University of Toronto who provide a of potential causes as well as management and preventive strategies against the recent increase in paediatric viral respiratory illnesses.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 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".