[no title]
Bibliographic record
Abstract
The rapid deployment of COVID-19 vaccines to a large proportion of the population requires a focus on safety. However, few studies have assessed the safety of COVID-19 vaccines in Africa. In Burkina Faso, this issue has not yet been addressed. The objective of this study was to contribute to the description of the characteristics of adverse events following immunization (AEFIs) related to COVID-19 vaccines in Burkina Faso. This was a cross-sectional descriptive retrospective study of spontaneous reports of COVID-19 vaccine-related AEFIs recorded in VigiBase® between June 2021 and November 2022 in Burkina Faso. Individual case safety reports (ICSRs) were extracted from VigiBase® using the Anatomical Therapeutic Chemical level 2 (ATC2) code. The proportion of ICSRs according to the reporter's qualification, the reporting rate, the time taken to submit and record ICSRs, and the completeness score were calculated. A total of 973 ICSRs concerned COVID-19 vaccines and represented 32.6% of all 2,988 reports in VigiBase®. Overall, 82.0% of the reporters were nurses/midwives, 7.8% were physicians, 6.7% were pharmacists, and 3.4% were patients. The median time between the onset of AEFIs and the submission of the report to the Pharmacovigilance Center was 180 days (IQR: 136; 281). The median registration time was 188 days (IQR: 149; 286). The mean ICSR completeness score was 0.8 (standard deviation = 0.1). The overall AEFI reporting rate was 27.8 per 100,000 vaccine doses. The AEFI reporting rates for the ChAdOx1-nCoV-19, JNJ 78436735, Elasomeran, Tozinameran, and HB02 vaccines were 454.2, 17.4, 11.0, 10.2, and 0.4 per 100,000 vaccine doses, respectively. The majority of AEFIs were systemic in nature (90.1%). Headache (21.2%), fever (19.4%), and myalgia (11.0%) were the most frequently reported AEFIs. Eighteen cases (1.8%) of serious AEFIs (9 hospitalizations, 4 life threatening, 3 temporary disabilities, and 2 others unspecified) were reported. The majority of AEFIs reported were systemic in nature and mild. However, there have been reports of serious AEFIs. The overall AEFI reporting rate was low. There is a need to strengthen the monitoring of these vaccines to better organize strategies to optimize the adherence of the population of Burkina Faso.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.092 | 0.031 |
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".