Vaccine side effects in Belgrade for the period 2012. - 2016.
Bibliographic record
Abstract
The paper presents characteristics of vaccine side effects after immunization, reported in the area of Belgrade in the period 2012. - 2016. Descriptive epidemiological study was applied. Data were collected from the application form Number 3. that is used for reporting vaccine side effects after immunization (according to the Regulation about Immunization and Ways of Protecting Drugs) and using the data received from the general practicioner who had reported vaccine side effect. During this period, 241 vaccine side effects were registered. The highest number of them was reported 2014. (65), but twofold decrease in reported vaccine side effects was 2016. (32). Every year vaccine side effects after immunization occurred more often among male. The majority of vaccine side effects were among children 1 - 4 years of age (109 vaccine side effects) and younger than 12 months of age (70 vaccine side effects). Vaccine side effects at the injection site were registered a little beat more often (37,76%) than the general reactions after immunization (35,68%). The greatest number of vaccine side effects was occurred after DTaPIPVHiB (28,63%) and MMR vaccine (21,58%). Vaccine side effects after immunization reporting system is conducted to improving vaccine safety. In order to improve vaccine side effects reporting system, it is necessary to forse engagement of all participants in the realisation Immunization Programme.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".