Trends of in-hospital maternal mortality during the COVID-19 pandemic in southern Morocco – analysis of a time series from 2016–2022
Bibliographic record
Abstract
Introduction and aim. The aim of this study was to compare trends of in-hospital maternal mortality in southern Morocco be fore and after the COVID-19 pandemic emerged in the Kingdom in March 2020. Material and methods. We conducted a retrospective study of a time series of hospital maternal deaths from January 2016 to December 2022. Data were collected from maternal death registers and monthly reports from maternity departments of six public hospitals in Souss Massa region (one regional and five provincial hospitals). Results. 216 maternal deaths occurred during the study period, 112 before and 104 during the pandemic. The highest annual maternal mortality ratio (MMR) was observed in 2021 (207.41 deaths/100,000 live births). Trends of monthly MMR showed a significant increase during the pandemic compared with the pre-pandemic period (p=0.002). Furthermore, an extremely high MMR value (977.57/100,000 live births) was noted in August 2021 (the Delta wave). There was a significant difference in the distribution of causes of maternal death. Proportion of indirect causes were tripled during the pandemic (from 8% to 24%), with 17/104 (16.3%) deaths related to SARS-CoV-2 pneumonia. Conclusion. In-hospital MMR increased in public hospitals of the Souss Massa region during the COVID-19 pandemic, particu larly in the third quarter of 2021.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".