Changes in Invasive Pneumococcal Disease in the Paediatric Population in the Second COVID-19 Pandemic Year
Bibliographic record
Abstract
Incidence of invasive pneumococcal disease (IPD) decreased worldwide in 2020, coinciding with the implementation of measures to reduce COVID-19 transmission. We evaluated the impact of the COVID-19 pandemic on healthcare demand and IPD in children in 2021 compared to the pre-pandemic period (2018–2019) and the early pandemic period (2020) in a study carried out during 2018–2021 in Catalonia. Incidence rates were compared by calculating the incidence rate ratio (IRR), and expressing percentage changes in IRR as (1-IRR)x100. Compared to 2018–2019, emergency room (ER) visits declined by 21% in 2021 (p < 0.001), mainly in the first quarter (−39%), and compared to 2020, ER visits increased by 22% in 2021 (p < 0.001), except in the first quarter. IPD incidence overall was 11.0 in 2018–2019 and 4.6 in 2021 (−58%, p < 0.001); the reduction in incidence was similar in the 0–4 age group and was higher in the first quarters. Compared to 2020, in 2021, IPD incidence decreased during the first quarter (−86%, p < 0.001), but increased from 0.0 to 1.2 in the second quarter (p = 0.02) and from 0.6 to 2.1 (p=0.03) in the fourth quarter. The decreased IPD incidence observed in 2021 compared to 2018–2019 (most especially in the first quarter) was greater than the decrease in healthcare demand and PCR test requests. Compared to 2020, IPD incidence decreased in the first quarter when a second state of alarm was in force. In 2021, compared to 2018–2019, there was a greater reduction in PCV13 serotypes than in non-PCV13 serotypes.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
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".