Intimate partner violence during the confinement period of the COVID-19 pandemic: exploring the French and Cameroonian public health policies
Bibliographic record
Abstract
Coronavirus disease (COVID-19) is an unprecedented pandemic. COVID-19 is a highly contagious and potentially fatal respiratory infection which has spread within three months of its outbreak to more than 173 countries, causing 3.7 million infections and 256,551 deaths at this writing. Unfortunately, no treatment or vaccine currently exists for COVID-19, although several clinical trials are on-going to find a definite solution to this pandemic. Prevention through public health measures remain the best strategy recommended till date. This prevention involves physical distancing and compulsory confinement at home in several European countries, in the UK and USA. Unfortunately, home confinement decreed in most high-income countries like France has been dangerous for women, victims of psychological, physical and sexual violence from their intimate partner. Violence between intimate partners has become an unintended consequence of the stay-at-home policy against COVID-19. Since the promulgation of a home confinement decreed in many high resource settings (USA, UK, Europe, Canada, Australia, etc), the rate of violence between intimate partners has increased tremendously resulting to the worst scenario, women's death in some of these countries. The stay-at-home law is not yet a national decree in several low resource settings like Africa, where COVID-19 has not been declared an epidemic in several countries. However, intimate partner violence has been reportedly described as a real violation of women's right before the advent of the COVID-19 pandemic in the African continent. This commentary highlights the effects of intimate partner violence due to COVID-19 confinement in France and extrapolates what may be the effect of an implementation of a COVID-19 confinement law in Cameroon. Also, the authors suggest recommendations to lessen the burden of intimate partner violence in countries with a stay-at-home policy.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".