Domestic Violence during the COVID-19 Pandemic in Portugal
Bibliographic record
Abstract
The measures implemented to combat the COVID-19 pandemic led populations to confinement at home, with increased risk of domestic violence due to extended shared time between victims and offenders. Evidence on domestic violence in times of pandemic is lacking. This study examines the occurrence of domestic violence, associated factors and help seeking during the COVID-19 pandemic. An online survey was conducted in Portugal between April and October 2020 by NOVA National School of Public Health. The survey was disseminated through partner networks, media, and institutions working within the scope of violence. Data were collected on the experience of domestic violence, and help seeking during the pandemic. In a total of 1,062 respondents, 146 (13.7%) reported having suffered domestic violence during the pandemic, including psychological (13.0%, n = 138), sexual (1.0%, n = 11), and physical (0.9%, n = 10) abuse. Overall, the lower the age, the more the reported domestic violence. Also, a higher proportion of participants who perceived difficulties to make ends meet during the pandemic reported domestic violence. Differences between women and men and across educational levels on reported domestic violence were not statistically significant. Bivariate logistic analyses showed that, among women, reported domestic violence was more likely among those with up to secondary education compared to higher education. Most of the victims did not seek help (62.3%), the main reasons being considering it unnecessary, that help would not change anything, and feeling embarrassed about what had happened. Only 4.3% of the victims sought police help. The most common reasons for not coming forward to form a complaint were considering the abuse was not severe and believing the police would not do anything. Our findings indicate that domestic violence during the COVID-19 pandemic was experienced by both sexes and across different age groups. There is a need for investing in specific support systems for victims of domestic violence to be applied to pandemic contexts, especially targeting those in more vulnerable situations and potentially underserved.
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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 | 0.010 | 0.004 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".